• Skywork Super Agents is an AI-powered office suite designed to create various types of content. It leverages expert agents to generate documents, presentations, spreadsheets, and other formats like webpages and podcasts. Skywork aims to transform simple input into complex, multimodal content, making it ideal for analysts and professionals who need to produce different types of content. Its functionality is similar to DeepResearchAgent, a multi-agent system for deep research and general task solving.

    https://skywork.ai/

    #Skywork #SkyworkAI #DeepResearchAgent #AIOfficeSuite #AICreator #MultimodalAI #ContentCreation #DocumentGeneration #PresentationMaker #SpreadsheetSoftware #WebpageBuilder #PodcastCreator #ProductivityTools #AItools
    Skywork Super Agents is an AI-powered office suite designed to create various types of content. It leverages expert agents to generate documents, presentations, spreadsheets, and other formats like webpages and podcasts. Skywork aims to transform simple input into complex, multimodal content, making it ideal for analysts and professionals who need to produce different types of content. Its functionality is similar to DeepResearchAgent, a multi-agent system for deep research and general task solving. https://skywork.ai/ #Skywork #SkyworkAI #DeepResearchAgent #AIOfficeSuite #AICreator #MultimodalAI #ContentCreation #DocumentGeneration #PresentationMaker #SpreadsheetSoftware #WebpageBuilder #PodcastCreator #ProductivityTools #AItools
    0 Comments ·0 Shares ·118 Views
  • Supa is a versatile AI platform designed to assist users by completing various assignments, including academic writing, presentations, and reports with high efficiency. It harnesses powerful AI models like ChatGPT, Gemini, Llama, and more to produce polished outputs tailored to user specifications. By streamlining research, writing, and presentation processes, Supa aims to enhance productivity for students, HR teams, and sales professionals.

    https://www.supa.inc/

    #supa #ai #chatgpt #gemini #llama #aiplatform #academicwriting #airesearch #aipresentations #aireports #productivitytools #copyai #jasperai #aiseo #aitools #hrtech #salesenablement #aiwritingassistant #assignments
    Supa is a versatile AI platform designed to assist users by completing various assignments, including academic writing, presentations, and reports with high efficiency. It harnesses powerful AI models like ChatGPT, Gemini, Llama, and more to produce polished outputs tailored to user specifications. By streamlining research, writing, and presentation processes, Supa aims to enhance productivity for students, HR teams, and sales professionals. https://www.supa.inc/ #supa #ai #chatgpt #gemini #llama #aiplatform #academicwriting #airesearch #aipresentations #aireports #productivitytools #copyai #jasperai #aiseo #aitools #hrtech #salesenablement #aiwritingassistant #assignments
    0 Comments ·0 Shares ·381 Views
  • The Prompt Report: A Systematic Survey of Prompting Techniques

    "The Prompt Report," is the result of an extensive study analyzing over 1,500 academic papers on prompting conducted by a team of researchers from leading institutions. It introduces a structured taxonomy of 58 prompting techniques organized into six categories, highlighting effective strategies such as Few-Shot and Chain-of-Thought prompting. Additionally, the report discusses the importance of In-Context Learning and assesses the performance of various prompting techniques while offering insights into future challenges and developments in human-AI interactions.

    Key Points
    - A systematic analysis resulted in the creation of "The Prompt Report," detailing over 58 prompting techniques within a comprehensive 80-page document.
    - The report categorizes prompting techniques into six problem-solving areas, enabling users to identify and apply the best methods for their tasks.
    - In-Context Learning (ICL) allows language models to perform tasks based on examples within prompts, emphasizing the power of Few-Shot techniques.
    - Effective prompt design hinges on various factors including the quality, quantity, and format of examples used in prompts.
    - Benchmarking results reveal Few-Shot Chain-of-Thought techniques as superior for reasoning tasks, while Self-Consistency is less effective than anticipated.
    - Comparisons show that AI-driven prompt engineering tools can outperform manual efforts, highlighting advancements in automated prompting techniques.
    - The report addresses future challenges in prompting, including prompt drift, multilingual applications, and integrating multimodal inputs.

    https://learnprompting.org/blog/the_prompt_report
    https://huggingface.co/papers/2406.06608
    https://www.researchgate.net/publication/381318099_The_Prompt_Report_A_Systematic_Survey_of_Prompting_Techniques

    #PromptReport #PromptEngineering #InContextLearning #FewShotLearning #ChainOfThought #PromptingTechniques #AI #NLP #LanguageModels #HumanAIInteraction #PromptDrift #MultilingualAI #LearnPrompting #AISurvey #PromptTaxonomy #SelfConsistency #PromptTools
    The Prompt Report: A Systematic Survey of Prompting Techniques "The Prompt Report," is the result of an extensive study analyzing over 1,500 academic papers on prompting conducted by a team of researchers from leading institutions. It introduces a structured taxonomy of 58 prompting techniques organized into six categories, highlighting effective strategies such as Few-Shot and Chain-of-Thought prompting. Additionally, the report discusses the importance of In-Context Learning and assesses the performance of various prompting techniques while offering insights into future challenges and developments in human-AI interactions. Key Points - A systematic analysis resulted in the creation of "The Prompt Report," detailing over 58 prompting techniques within a comprehensive 80-page document. - The report categorizes prompting techniques into six problem-solving areas, enabling users to identify and apply the best methods for their tasks. - In-Context Learning (ICL) allows language models to perform tasks based on examples within prompts, emphasizing the power of Few-Shot techniques. - Effective prompt design hinges on various factors including the quality, quantity, and format of examples used in prompts. - Benchmarking results reveal Few-Shot Chain-of-Thought techniques as superior for reasoning tasks, while Self-Consistency is less effective than anticipated. - Comparisons show that AI-driven prompt engineering tools can outperform manual efforts, highlighting advancements in automated prompting techniques. - The report addresses future challenges in prompting, including prompt drift, multilingual applications, and integrating multimodal inputs. https://learnprompting.org/blog/the_prompt_report https://huggingface.co/papers/2406.06608 https://www.researchgate.net/publication/381318099_The_Prompt_Report_A_Systematic_Survey_of_Prompting_Techniques #PromptReport #PromptEngineering #InContextLearning #FewShotLearning #ChainOfThought #PromptingTechniques #AI #NLP #LanguageModels #HumanAIInteraction #PromptDrift #MultilingualAI #LearnPrompting #AISurvey #PromptTaxonomy #SelfConsistency #PromptTools
    The Prompt Report: Insights from The Most Comprehensive Study of Prompting Ever Done
    learnprompting.org
    Discover actionable insights from The Prompt Report, the most comprehensive study of 1,500+ papers and 58 prompting techniques ever done.
    0 Comments ·0 Shares ·251 Views
  • Practical AI Agents repository provides a curated list of AI agents, both open-source and proprietary, designed for real-world applications. The project aims to track the most impactful AI agents transforming automation, coding, research, and productivity.

    Main Function Points
    - Categorizes AI agents into different types, such as Coding Agents, Research Agents, Automation Agents, Personal Assistants, and Enterprise AI
    - Provides a top 5 list of popular AI agents with descriptions and links to their repositories or websites
    - Includes a section for new general-purpose AI agents, such as PokeeAI
    - Encourages contributions from the community to add more AI agents to the list

    https://github.com/delegatexai/practical-ai-agents

    #PracticalAIAgents #AIAgents #OpenSourceAI #ProprietaryAI #AutomationAgents #CodingAgents #ResearchAgents #PersonalAssistants #EnterpriseAI #PokeeAI #AutoGPT #AgentGPT #AIProductivity #DelegatexAI #GitHub #AItools
    Practical AI Agents 🚀 repository provides a curated list of AI agents, both open-source and proprietary, designed for real-world applications. The project aims to track the most impactful AI agents transforming automation, coding, research, and productivity. Main Function Points - Categorizes AI agents into different types, such as Coding Agents, Research Agents, Automation Agents, Personal Assistants, and Enterprise AI - Provides a top 5 list of popular AI agents with descriptions and links to their repositories or websites - Includes a section for new general-purpose AI agents, such as PokeeAI - Encourages contributions from the community to add more AI agents to the list https://github.com/delegatexai/practical-ai-agents #PracticalAIAgents #AIAgents #OpenSourceAI #ProprietaryAI #AutomationAgents #CodingAgents #ResearchAgents #PersonalAssistants #EnterpriseAI #PokeeAI #AutoGPT #AgentGPT #AIProductivity #DelegatexAI #GitHub #AItools
    GitHub - delegatexai/practical-ai-agents: A curated list of AI agents (open-source & proprietary) that solve real-world problems. Updated regularly!
    github.com
    A curated list of AI agents (open-source & proprietary) that solve real-world problems. Updated regularly! - delegatexai/practical-ai-agents
    0 Comments ·0 Shares ·354 Views
  • Awesome AI Agent Directories repository is a comprehensive list of the best AI agent directories available online. It includes websites and GitHub repositories that feature top AI agents, frameworks, and tools. The project aims to help developers, researchers, and entrepreneurs discover, evaluate, and integrate the most powerful AI agents and platforms in the ecosystem.

    It contains a comprehensive list of the best AI agent directories available online. This curated collection includes websites and GitHub repositories that feature top AI agents, frameworks, and tools. Whether you're a developer, researcher, or entrepreneur, this list helps you discover, evaluate, and integrate the most powerful AI agents and platforms in the ecosystem.

    https://github.com/alternbits/awesome-ai-agents-directories

    #AIagentdirectories #AIagents #AIframeworks #AItools #GitHub #alternbits #AwesomeAI #AIDiscovery #AIIntegration #OpenAI #Langchain #Agentverse #AIecosystem #AIresearch #AIDevelopment
    Awesome AI Agent Directories repository is a comprehensive list of the best AI agent directories available online. It includes websites and GitHub repositories that feature top AI agents, frameworks, and tools. The project aims to help developers, researchers, and entrepreneurs discover, evaluate, and integrate the most powerful AI agents and platforms in the ecosystem. It contains a comprehensive list of the best AI agent directories available online. This curated collection includes websites and GitHub repositories that feature top AI agents, frameworks, and tools. Whether you're a developer, researcher, or entrepreneur, this list helps you discover, evaluate, and integrate the most powerful AI agents and platforms in the ecosystem. https://github.com/alternbits/awesome-ai-agents-directories #AIagentdirectories #AIagents #AIframeworks #AItools #GitHub #alternbits #AwesomeAI #AIDiscovery #AIIntegration #OpenAI #Langchain #Agentverse #AIecosystem #AIresearch #AIDevelopment
    GitHub - alternbits/awesome-ai-agents-directories: A comprehensive list of top best AI agents directories available online
    github.com
    A comprehensive list of top best AI agents directories available online - alternbits/awesome-ai-agents-directories
    0 Comments ·0 Shares ·333 Views
  • Remember the AI Tools DIrectory "Gold Rush" ... well the "AI agents" race is on (we covered some of these from before)

    aiagentsdirectory.com presents the AI Agents Landscape and Ecosystem as of July 2025, detailing an interactive map that categorizes 1,567 AI agents, tools, and assistants into various functions such as automation, customer support, and content creation. It emphasizes the usefulness of this map for developers, businesses, and researchers by providing a comprehensive overview of AI capabilities, emerging trends, and daily updates in the AI agent market. Additionally, it highlights the advantages of utilizing this resource for comparing features, pricing, and performance of AI solutions.

    Here are a list of Ai Agencies as well :
    https://aiagentsdirectory.com/agency

    Key Points
    aiagentsdirectory.com presents the AI Agents Landscape and Ecosystem as of July 2025, detailing an interactive map that categorizes 1,567 AI agents, tools, and assistants into various functions such as automation, customer support, and content creation. It emphasizes the usefulness of this map for developers, businesses, and researchers by providing a comprehensive overview of AI capabilities, emerging trends, and daily updates in the AI agent market. Additionally, it highlights the advantages of utilizing this resource for comparing features, pricing, and performance of AI solutions.

    Key Points
    - The AI Agents Landscape features an interactive map showcasing 1,567 AI agents categorized into 64 distinct categories.
    - The map allows users to compare features, pricing, and capabilities of various AI agents and tools.
    - Daily updates keep the AI agent information current, highlighting new entries and emerging categories.
    - Developers and businesses can leverage this landscape to identify suitable AI automation solutions for their specific needs.
    - The landscape reveals trends in autonomous agents, specialized AI assistants, and workflow automation tools.
    - The resource is designed for a diverse audience, including developers, businesses, and researchers interested in AI advancements.
    - Users can subscribe to receive email updates about the latest AI agent developments and trends.

    https://aiagentsdirectory.com/landscape

    #aiagentsdirectory #aiagents #ai #aiagentslandscape #aiagentsdirectorycom #airesearch #aiautomation #aicustomersupport #aicontentcreation #aiinteractivemap #aiagentscomparison #aiaas #gpt3 #gpt4 #gemini #claude #automata #autonomousagents #aiassistants #workflowautomation
    Remember the AI Tools DIrectory "Gold Rush" ... well the "AI agents" race is on (we covered some of these from before) aiagentsdirectory.com presents the AI Agents Landscape and Ecosystem as of July 2025, detailing an interactive map that categorizes 1,567 AI agents, tools, and assistants into various functions such as automation, customer support, and content creation. It emphasizes the usefulness of this map for developers, businesses, and researchers by providing a comprehensive overview of AI capabilities, emerging trends, and daily updates in the AI agent market. Additionally, it highlights the advantages of utilizing this resource for comparing features, pricing, and performance of AI solutions. Here are a list of Ai Agencies as well : https://aiagentsdirectory.com/agency Key Points aiagentsdirectory.com presents the AI Agents Landscape and Ecosystem as of July 2025, detailing an interactive map that categorizes 1,567 AI agents, tools, and assistants into various functions such as automation, customer support, and content creation. It emphasizes the usefulness of this map for developers, businesses, and researchers by providing a comprehensive overview of AI capabilities, emerging trends, and daily updates in the AI agent market. Additionally, it highlights the advantages of utilizing this resource for comparing features, pricing, and performance of AI solutions. Key Points - The AI Agents Landscape features an interactive map showcasing 1,567 AI agents categorized into 64 distinct categories. - The map allows users to compare features, pricing, and capabilities of various AI agents and tools. - Daily updates keep the AI agent information current, highlighting new entries and emerging categories. - Developers and businesses can leverage this landscape to identify suitable AI automation solutions for their specific needs. - The landscape reveals trends in autonomous agents, specialized AI assistants, and workflow automation tools. - The resource is designed for a diverse audience, including developers, businesses, and researchers interested in AI advancements. - Users can subscribe to receive email updates about the latest AI agent developments and trends. https://aiagentsdirectory.com/landscape #aiagentsdirectory #aiagents #ai #aiagentslandscape #aiagentsdirectorycom #airesearch #aiautomation #aicustomersupport #aicontentcreation #aiinteractivemap #aiagentscomparison #aiaas #gpt3 #gpt4 #gemini #claude #automata #autonomousagents #aiassistants #workflowautomation
    AI Agents Landscape & Ecosystem (July 2025): Complete Interactive Map
    aiagentsdirectory.com
    Explore the comprehensive AI agents landscape map / ecosystem for July 2025. Compare AI Agents across categories, pricing, and capabilities. Updated daily with new autonomous agents, AI assistants, and emerging solutions.
    0 Comments ·0 Shares ·304 Views
  • Consensus is an AI-powered search engine designed to streamline scientific research. It leverages AI to quickly find and summarize information from peer-reviewed scientific papers, saving users time and effort. This tool helps researchers by extracting key insights and providing a focused overview of relevant scientific literature, essentially acting as an efficient research assistant. The engine scans millions of papers to find the ones that match your query.

    https://consensus.app/

    #consensusAI #AIsearch #scientificresearch #peerreviewed #researchassistant #literature review #AIScience #researchtool #datascience #academicresearch #sciencediscovery #semanticScholar #elicitAI #connectedPapers
    Consensus is an AI-powered search engine designed to streamline scientific research. It leverages AI to quickly find and summarize information from peer-reviewed scientific papers, saving users time and effort. This tool helps researchers by extracting key insights and providing a focused overview of relevant scientific literature, essentially acting as an efficient research assistant. The engine scans millions of papers to find the ones that match your query. https://consensus.app/ #consensusAI #AIsearch #scientificresearch #peerreviewed #researchassistant #literature review #AIScience #researchtool #datascience #academicresearch #sciencediscovery #semanticScholar #elicitAI #connectedPapers
    Search - Consensus: AI Search Engine for Research
    consensus.app
    Consensus is a search engine that uses AI to find answers in scientific research.
    0 Comments ·0 Shares ·277 Views
  • Get ideas for profitable startups, trending keywords, and go-to-market tactics, powered by data.

    https://www.ideabrowser.com/

    #IdeaBrowser #startupideas #trendingkeywords #datadriven #marketresearch #producthunt #trends #businessintelligence #entrepreneurship #businesstrends #startups #productdiscovery #marketanalysis
    Get ideas for profitable startups, trending keywords, and go-to-market tactics, powered by data. https://www.ideabrowser.com/ #IdeaBrowser #startupideas #trendingkeywords #datadriven #marketresearch #producthunt #trends #businessintelligence #entrepreneurship #businesstrends #startups #productdiscovery #marketanalysis
    Ideabrowser | Ideas are Everywhere
    www.ideabrowser.com
    Get ideas for profitable startups, trending keywords, and go-to-market tactics, powered by data. Start seeing opportunity.
    0 Comments ·0 Shares ·369 Views
  • Source: Post by Rakesh Gohel on Linkedin

    AI Agent trends have drastically changed from 2024 to 2025

    Here are the new trends driving innovation this year....

    The Agentic AI field is constantly moving forward with new innovations and products.

    I'll share with you a few notable trends that are driving the market in 2025.

    Note: I've also included a few Langgraph codebooks if you want to build some of these solutions yourself.

    Agentic RAG
    - AI Agent workflow for reasoning-based real-time data retrieval and generation.
    - Agentic RAG is not limited to one use case but rather used in health care as well.
    - Used by companies like Perplexity, Harvey AI and Glean AI.

    Voice Agents
    - Intelligent agents that interact with users through natural spoken language utlizing a wide range of TTS and STTS embedding and Retrieval.
    - Used by companies like ElevenLabs, Cognigy, Vapi and Deepgram.

    AI Agent Protocols
    - Streamlining Multi-Agent Communication that supports communication between Agents built in different frameworks.
    - Used by Companies like Accenture, the top players include A2A, ACP, SLIM and others.

    CUA(Computer Using Agents)
    - AI agents that can interact with a computer the way a human does utilizing tools like a browser, CLI and even a mouse's cursor.
    - Used by Companies like OpenAI for their Operator, Claude's Computer Use, Runner H by H-Company and Manus AI.

    Coding Agents
    - Multi-Agents for building and debugging applications 10x faster with the help of clever tool use and LLM-based code gen.
    - Used by companies like Windsurf, Cursor and GitHub Copilot.

    Deepresearch Agents
    - Collaborative Multi-Agent system to build extensively researched reports from a large number of sources.
    - Popular products include Gemini DR, OpenAI DR and You(.)com DR.

    Few Langgraph Codebooks to build some of the trending solutions

    1. Agentic RAG: https://lnkd.in/gdqWyP3r
    2. CUA: https://lnkd.in/gCdxpUBi
    3. Deepresearch: https://lnkd.in/gexsW5qh
    4. Code Gen Agents using RAG: https://lnkd.in/gDnsBFuM

    After months of feedback and iteration, we are finally releasing our first technical cohort, "AI Agent Engineering"

    Enrol here: https://lnkd.in/gDEPcXBB

    If you are a business leader, we've developed frameworks that cut through the hype, including our five-level Agentic AI Progression Framework to evaluate any agent's capabilities in my latest book.

    Book info: https://amzn.to/4irx6nI

    Save ➞ React ➞ Share

    & follow for everything related to AI Agents

    https://www.linkedin.com/posts/rakeshgohel01_ai-agent-trends-have-drastically-changed-activity-7343981787842297858-PJkS

    #agenticrag #voiceagents #aiagentprotocols #cua #codingagents #deepresearchagents #langgraph #elevenlabs #cognigy #perplexity #harveyai #gleanai #openai #cursor #githubcopilot #geminidr #youcom #windsurf #a2a #acp #slim #tts #sts #rag #multiagent #aiagents #llm #browserautomation #aicoding
    Source: Post by Rakesh Gohel on Linkedin AI Agent trends have drastically changed from 2024 to 2025 Here are the new trends driving innovation this year.... The Agentic AI field is constantly moving forward with new innovations and products. I'll share with you a few notable trends that are driving the market in 2025. Note: I've also included a few Langgraph codebooks if you want to build some of these solutions yourself. 📌 Agentic RAG - AI Agent workflow for reasoning-based real-time data retrieval and generation. - Agentic RAG is not limited to one use case but rather used in health care as well. - Used by companies like Perplexity, Harvey AI and Glean AI. 📌 Voice Agents - Intelligent agents that interact with users through natural spoken language utlizing a wide range of TTS and STTS embedding and Retrieval. - Used by companies like ElevenLabs, Cognigy, Vapi and Deepgram. 📌 AI Agent Protocols - Streamlining Multi-Agent Communication that supports communication between Agents built in different frameworks. - Used by Companies like Accenture, the top players include A2A, ACP, SLIM and others. 📌 CUA(Computer Using Agents) - AI agents that can interact with a computer the way a human does utilizing tools like a browser, CLI and even a mouse's cursor. - Used by Companies like OpenAI for their Operator, Claude's Computer Use, Runner H by H-Company and Manus AI. 📌 Coding Agents - Multi-Agents for building and debugging applications 10x faster with the help of clever tool use and LLM-based code gen. - Used by companies like Windsurf, Cursor and GitHub Copilot. 📌 Deepresearch Agents - Collaborative Multi-Agent system to build extensively researched reports from a large number of sources. - Popular products include Gemini DR, OpenAI DR and You(.)com DR. 🔗 Few Langgraph Codebooks to build some of the trending solutions 1. Agentic RAG: https://lnkd.in/gdqWyP3r 2. CUA: https://lnkd.in/gCdxpUBi 3. Deepresearch: https://lnkd.in/gexsW5qh 4. Code Gen Agents using RAG: https://lnkd.in/gDnsBFuM 📌 After months of feedback and iteration, we are finally releasing our first technical cohort, "AI Agent Engineering" 🔗 Enrol here: https://lnkd.in/gDEPcXBB If you are a business leader, we've developed frameworks that cut through the hype, including our five-level Agentic AI Progression Framework to evaluate any agent's capabilities in my latest book. 🔗 Book info: https://amzn.to/4irx6nI Save 💾 ➞ React 👍 ➞ Share ♻️ & follow for everything related to AI Agents https://www.linkedin.com/posts/rakeshgohel01_ai-agent-trends-have-drastically-changed-activity-7343981787842297858-PJkS #agenticrag #voiceagents #aiagentprotocols #cua #codingagents #deepresearchagents #langgraph #elevenlabs #cognigy #perplexity #harveyai #gleanai #openai #cursor #githubcopilot #geminidr #youcom #windsurf #a2a #acp #slim #tts #sts #rag #multiagent #aiagents #llm #browserautomation #aicoding
    AI Agent trends have drastically changed from 2024 to 2025 | Rakesh Gohel
    www.linkedin.com
    AI Agent trends have drastically changed from 2024 to 2025 Here are the new trends driving innovation this year.... The Agentic AI field is constantly moving forward with new innovations and products. I'll share with you a few notable trends that are driving the market in 2025. Note: I've also included a few Langgraph codebooks if you want to build some of these solutions yourself. 📌 Agentic RAG - AI Agent workflow for reasoning-based real-time data retrieval and generation. - Agentic RAG is not limited to one use case but rather used in health care as well. - Used by companies like Perplexity, Harvey AI and Glean AI. 📌 Voice Agents - Intelligent agents that interact with users through natural spoken language utlizing a wide range of TTS and STTS embedding and Retrieval. - Used by companies like ElevenLabs, Cognigy, Vapi and Deepgram. 📌 AI Agent Protocols - Streamlining Multi-Agent Communication that supports communication between Agents built in different frameworks. - Used by Companies like Accenture, the top players include A2A, ACP, SLIM and others. 📌 CUA(Computer Using Agents) - AI agents that can interact with a computer the way a human does utilizing tools like a browser, CLI and even a mouse's cursor. - Used by Companies like OpenAI for their Operator, Claude's Computer Use, Runner H by H-Company and Manus AI. 📌 Coding Agents - Multi-Agents for building and debugging applications 10x faster with the help of clever tool use and LLM-based code gen. - Used by companies like Windsurf, Cursor and GitHub Copilot. 📌 Deepresearch Agents - Collaborative Multi-Agent system to build extensively researched reports from a large number of sources. - Popular products include Gemini DR, OpenAI DR and You(.)com DR. 🔗 Few Langgraph Codebooks to build some of the trending solutions 1. Agentic RAG: https://lnkd.in/gdqWyP3r 2. CUA: https://lnkd.in/gCdxpUBi 3. Deepresearch: https://lnkd.in/gexsW5qh 4. Code Gen Agents using RAG: https://lnkd.in/gDnsBFuM 📌 After months of feedback and iteration, we are finally releasing our first technical cohort, "AI Agent Engineering" 🔗 Enrol here: https://lnkd.in/gDEPcXBB If you are a business leader, we've developed frameworks that cut through the hype, including our five-level Agentic AI Progression Framework to evaluate any agent's capabilities in my latest book. 🔗 Book info: https://amzn.to/4irx6nI Save 💾 ➞ React 👍 ➞ Share ♻️ & follow for everything related to AI Agents | 134 comments on LinkedIn
    0 Comments ·0 Shares ·470 Views
  • Claims are awash on X about how the latest Kimi Model K2 beats Grok 4. My verdict ... try it for yourself ! l also noticed that some models are better in certain contexts than others but fail in other context where others excel. So my take is to know which is which for yourself .. don' t just rely on Benchmarks, social media posters and such ...

    Now back to Kimi AI the chinese controversial release:

    Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model with 32 billion activated parameters and 1 trillion total parameters. Trained with the Muon optimizer, Kimi K2 achieves exceptional performance across frontier knowledge, reasoning, and coding tasks while being meticulously optimized for agentic capabilities.

    Key Features
    Large-Scale Training: Pre-trained a 1T parameter MoE model on 15.5T tokens with zero training instability.
    MuonClip Optimizer: We apply the Muon optimizer to an unprecedented scale, and develop novel optimization techniques to resolve instabilities while scaling up.
    Agentic Intelligence: Specifically designed for tool use, reasoning, and autonomous problem-solving.
    Model Variants
    Kimi-K2-Base: The foundation model, a strong start for researchers and builders who want full control for fine-tuning and custom solutions.
    Kimi-K2-Instruct: The post-trained model best for drop-in, general-purpose chat and agentic experiences. It is a reflex-grade model without long thinking.

    https://github.com/MoonshotAI/Kimi-K2
    https://www.moonshot.ai/
    https://platform.moonshot.ai/docs/introduction#text-generation-model
    https://github.com/MoonshotAI/Kimi-K2/blob/main/docs/deploy_guidance.md(Deployment Guide)

    #KimiK2 #KimiAI #MoonshotAI #Grok4 #LLM #LargeLanguageModel #MoE #MixtureOfExperts #AI #AgenticAI #MuonOptimizer #AICoding #Chatbot #KimiK2Base #KimiK2Instruct #TextGeneration #FrontierKnowledge #Reasoning #AutonomousProblemSolving #TransformerModel #Claude #Gemini #GPT4 #OpenAI #Llama3 #AIModels #GitHub #X #SocialMedia #Benchmarks #ControversialRelease #ChineseAI #AIInnovation #DeepLearning #NaturalLanguageProcessing #NLP #AIResearch #AIML #MachineLearning #DataScience #ArtificialIntelligence #BigData #Technology #Innovation #Tech #AISolutions #DigitalTransformation #AICommunity #AINews #EmergingTech #TechTrends
    Claims are awash on X about how the latest Kimi Model K2 beats Grok 4. My verdict ... try it for yourself ! l also noticed that some models are better in certain contexts than others but fail in other context where others excel. So my take is to know which is which for yourself .. don' t just rely on Benchmarks, social media posters and such ... Now back to Kimi AI the chinese controversial release: Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model with 32 billion activated parameters and 1 trillion total parameters. Trained with the Muon optimizer, Kimi K2 achieves exceptional performance across frontier knowledge, reasoning, and coding tasks while being meticulously optimized for agentic capabilities. Key Features Large-Scale Training: Pre-trained a 1T parameter MoE model on 15.5T tokens with zero training instability. MuonClip Optimizer: We apply the Muon optimizer to an unprecedented scale, and develop novel optimization techniques to resolve instabilities while scaling up. Agentic Intelligence: Specifically designed for tool use, reasoning, and autonomous problem-solving. Model Variants Kimi-K2-Base: The foundation model, a strong start for researchers and builders who want full control for fine-tuning and custom solutions. Kimi-K2-Instruct: The post-trained model best for drop-in, general-purpose chat and agentic experiences. It is a reflex-grade model without long thinking. https://github.com/MoonshotAI/Kimi-K2 https://www.moonshot.ai/ https://platform.moonshot.ai/docs/introduction#text-generation-model https://github.com/MoonshotAI/Kimi-K2/blob/main/docs/deploy_guidance.md(Deployment Guide) #KimiK2 #KimiAI #MoonshotAI #Grok4 #LLM #LargeLanguageModel #MoE #MixtureOfExperts #AI #AgenticAI #MuonOptimizer #AICoding #Chatbot #KimiK2Base #KimiK2Instruct #TextGeneration #FrontierKnowledge #Reasoning #AutonomousProblemSolving #TransformerModel #Claude #Gemini #GPT4 #OpenAI #Llama3 #AIModels #GitHub #X #SocialMedia #Benchmarks #ControversialRelease #ChineseAI #AIInnovation #DeepLearning #NaturalLanguageProcessing #NLP #AIResearch #AIML #MachineLearning #DataScience #ArtificialIntelligence #BigData #Technology #Innovation #Tech #AISolutions #DigitalTransformation #AICommunity #AINews #EmergingTech #TechTrends
    GitHub - MoonshotAI/Kimi-K2: Kimi K2 is the large language model series developed by Moonshot AI team
    github.com
    Kimi K2 is the large language model series developed by Moonshot AI team - MoonshotAI/Kimi-K2
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  • PLINY THE PROMPTER

    Discusses various advancements in the field of autonomous red teaming, specifically focusing on jailbreak techniques for language models. It highlights the contributions of a prominent figure, Pliny the Prompter, in developing effective jailbreak prompts and attack strategies. Additionally, it addresses ongoing research aimed at enhancing defenses against these vulnerabilities, emphasizing the importance of understanding and mitigating jailbreak risks through comprehensive studies and innovative methodologies.

    Key Points
    The document introduces "AutoRedTeamer," emphasizing its capacity for lifelong attack integration in red teaming.
    "Pliny the Prompter" is credited with devising a highly effective jailbreak prompt that deepens the understanding of language model vulnerabilities.
    The L1B3RT4S project demonstrates manual attack methods using leetspeak encoding, contributing to broader jailbreak techniques.
    Current research on bijection learning attacks presents competitive alternatives to established jailbreak methods pioneered by Pliny.
    The "DeepSeek-R1" project illustrates how behavior modification can be tailored through mixtures of tunable experts, drawing on existing jailbreak strategies.
    Research on constitutional classifiers is focused on defending against universal jailbreaks by leveraging insights from extensive red teaming exercises.
    The RoboPAIR platform investigates jailbreaking within LLM-controlled robotic systems, expanding the application of prompt-based attacks beyond traditional language models.

    https://pliny.gg/

    #PlinyThePrompter #AutoRedTeamer #L1B3RT4S #DeepSeekR1 #RoboPAIR #JailbreakLLM #AISecurity #RedTeaming #PromptEngineering #LanguageModels #LLMVulnerability #AIJailbreak #ConstitutionalAI #AdversarialAI #BijectionLearning #AISafety #LLMSecurity #AIResearch
    PLINY THE PROMPTER Discusses various advancements in the field of autonomous red teaming, specifically focusing on jailbreak techniques for language models. It highlights the contributions of a prominent figure, Pliny the Prompter, in developing effective jailbreak prompts and attack strategies. Additionally, it addresses ongoing research aimed at enhancing defenses against these vulnerabilities, emphasizing the importance of understanding and mitigating jailbreak risks through comprehensive studies and innovative methodologies. Key Points The document introduces "AutoRedTeamer," emphasizing its capacity for lifelong attack integration in red teaming. "Pliny the Prompter" is credited with devising a highly effective jailbreak prompt that deepens the understanding of language model vulnerabilities. The L1B3RT4S project demonstrates manual attack methods using leetspeak encoding, contributing to broader jailbreak techniques. Current research on bijection learning attacks presents competitive alternatives to established jailbreak methods pioneered by Pliny. The "DeepSeek-R1" project illustrates how behavior modification can be tailored through mixtures of tunable experts, drawing on existing jailbreak strategies. Research on constitutional classifiers is focused on defending against universal jailbreaks by leveraging insights from extensive red teaming exercises. The RoboPAIR platform investigates jailbreaking within LLM-controlled robotic systems, expanding the application of prompt-based attacks beyond traditional language models. https://pliny.gg/ #PlinyThePrompter #AutoRedTeamer #L1B3RT4S #DeepSeekR1 #RoboPAIR #JailbreakLLM #AISecurity #RedTeaming #PromptEngineering #LanguageModels #LLMVulnerability #AIJailbreak #ConstitutionalAI #AdversarialAI #BijectionLearning #AISafety #LLMSecurity #AIResearch
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  • New Anthropic Research: How people use Claude for emotional support.

    From millions of anonymized conversations, we studied how adults use AI for emotional and personal needs—from navigating loneliness and relationships to asking existential questions.
    New Anthropic Research: How people use Claude for emotional support. From millions of anonymized conversations, we studied how adults use AI for emotional and personal needs—from navigating loneliness and relationships to asking existential questions.
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