• Post by Rakesh GohelRakesh Gohelon Linkedin
    Learning AI Agents in 2025 (free resources)

    https://www.linkedin.com/posts/rakeshgohel01_learning-ai-agents-can-uplift-your-entire-activity-7352317097898594306-gOH0
    --------------------------------------------------------------
    Learning AI Agents can uplift your entire career in 2025

    If you don't know where to start, here are my Fav 15+ resources...

    This is part 3 of my AI Agent explained series, where I bring you the best AI Agent resources to learn AI Agents.

    Let's get into it, and you can out parts 1 and 2 in the comments:

    YouTube Videos:

    1. AI Agent for Beginners by Microsoft
    - https://lnkd.in/gWzCe8dY

    2. Intro to AI Agents by Google Cloud
    - https://lnkd.in/gP2MHDWk

    3. What are AI Agents? by IBM
    - https://lnkd.in/g2e3uZhM

    Free Courses:

    - OpenAI Academy: Building AI Agents and Assistants
    https://lnkd.in/g-eKfayR

    - 9+ Free courses divided as per experience: https://lnkd.in/gE6aaKmQ

    Reports:

    1. Thomson Reuters: Agentic AI 101
    https://lnkd.in/gbcFwkHN

    2. Google: Agents Whitepaper
    https://lnkd.in/gAe3RdWB

    3. OpenAI: Practical Guide on Building AI Agents
    https://lnkd.in/gBp48Frb

    4. Anthropic: Building Effective AI Agents
    https://lnkd.in/gXCVR_bu

    5. Galileo: Mastering AI Agents
    https://lnkd.in/g669eHdn

    Blogs and CookBooks:

    1. MongoDB - Demystifying AI Agents: A Guide for Beginners
    https://lnkd.in/gkxX7ibZ

    2. IBM - Introduction and in-depth explanation of AI Agents
    https://lnkd.in/gxddjuuk

    3. Hugging Face - AI Agents Course Full in-depth Cookbook
    https://lnkd.in/gbSvEEvB

    4. N8N - Basics of AI Agent guide with practical examples
    https://lnkd.in/gF95y-mm

    These resources are super helpful if you are just starting with AI Agents or know a thing or two.

    However, if you want to learn about the strategies, mindset , and detailed breakdown of enterprise AI Agent Development.

    We just released a detailed cohort that will help you achieve that.

    Enroll here: https://lnkd.in/gA3zhcfm

    The book includes all the details you need to learn AI Agents, as well as our 5-level Agent progression framework for business leaders.

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

    Save ➞ React ➞ Share

    #aiagents #ai #agenticai #openai #googleai #anthropic #microsoftai #ibm #huggingface #mongodb #n8n #machinelearning #automation #airesources #learningai #2025 #freecourses #aireports #aiblogs #aicookbook

    Post by Rakesh GohelRakesh Gohelon Linkedin Learning AI Agents in 2025 (free resources) https://www.linkedin.com/posts/rakeshgohel01_learning-ai-agents-can-uplift-your-entire-activity-7352317097898594306-gOH0 -------------------------------------------------------------- Learning AI Agents can uplift your entire career in 2025 If you don't know where to start, here are my Fav 15+ resources... This is part 3 of my AI Agent explained series, where I bring you the best AI Agent resources to learn AI Agents. Let's get into it, and you can out parts 1 and 2 in the comments: 📌 YouTube Videos: 1. AI Agent for Beginners by Microsoft - https://lnkd.in/gWzCe8dY 2. Intro to AI Agents by Google Cloud - https://lnkd.in/gP2MHDWk 3. What are AI Agents? by IBM - https://lnkd.in/g2e3uZhM 📌 Free Courses: - OpenAI Academy: Building AI Agents and Assistants https://lnkd.in/g-eKfayR - 9+ Free courses divided as per experience: https://lnkd.in/gE6aaKmQ 📌 Reports: 1. Thomson Reuters: Agentic AI 101 https://lnkd.in/gbcFwkHN 2. Google: Agents Whitepaper https://lnkd.in/gAe3RdWB 3. OpenAI: Practical Guide on Building AI Agents https://lnkd.in/gBp48Frb 4. Anthropic: Building Effective AI Agents https://lnkd.in/gXCVR_bu 5. Galileo: Mastering AI Agents https://lnkd.in/g669eHdn 📌 Blogs and CookBooks: 1. MongoDB - Demystifying AI Agents: A Guide for Beginners https://lnkd.in/gkxX7ibZ 2. IBM - Introduction and in-depth explanation of AI Agents https://lnkd.in/gxddjuuk 3. Hugging Face - AI Agents Course Full in-depth Cookbook https://lnkd.in/gbSvEEvB 4. N8N - Basics of AI Agent guide with practical examples https://lnkd.in/gF95y-mm These resources are super helpful if you are just starting with AI Agents or know a thing or two. However, if you want to learn about the strategies, mindset , and detailed breakdown of enterprise AI Agent Development. We just released a detailed cohort that will help you achieve that. 🔗 Enroll here: https://lnkd.in/gA3zhcfm The book includes all the details you need to learn AI Agents, as well as our 5-level Agent progression framework for business leaders. 🔗 Book info: https://amzn.to/4irx6nI Save 💾 ➞ React 👍 ➞ Share ♻️ #aiagents #ai #agenticai #openai #googleai #anthropic #microsoftai #ibm #huggingface #mongodb #n8n #machinelearning #automation #airesources #learningai #2025 #freecourses #aireports #aiblogs #aicookbook
    Learning AI Agents can uplift your entire career in 2025 | Rakesh Gohel
    www.linkedin.com
    Learning AI Agents can uplift your entire career in 2025 If you don't know where to start, here are my Fav 15+ resources... This is part 3 of my AI Agent explained series, where I bring you the best AI Agent resources to learn AI Agents. Let's get into it, and you can out parts 1 and 2 in the comments: 📌 YouTube Videos: 1. AI Agent for Beginners by Microsoft - https://lnkd.in/gWzCe8dY 2. Intro to AI Agents by Google Cloud - https://lnkd.in/gP2MHDWk 3. What are AI Agents? by IBM - https://lnkd.in/g2e3uZhM 📌 Free Courses: - OpenAI Academy: Building AI Agents and Assistants https://lnkd.in/g-eKfayR - 9+ Free courses divided as per experience: https://lnkd.in/gE6aaKmQ 📌 Reports: 1. Thomson Reuters: Agentic AI 101 https://lnkd.in/gbcFwkHN 2. Google: Agents Whitepaper https://lnkd.in/gAe3RdWB 3. OpenAI: Practical Guide on Building AI Agents https://lnkd.in/gBp48Frb 4. Anthropic: Building Effective AI Agents https://lnkd.in/gXCVR_bu 5. Galileo: Mastering AI Agents https://lnkd.in/g669eHdn 📌 Blogs and CookBooks: 1. MongoDB - Demystifying AI Agents: A Guide for Beginners https://lnkd.in/gkxX7ibZ 2. IBM - Introduction and in-depth explanation of AI Agents https://lnkd.in/gxddjuuk 3. Hugging Face - AI Agents Course Full in-depth Cookbook https://lnkd.in/gbSvEEvB 4. N8N - Basics of AI Agent guide with practical examples https://lnkd.in/gF95y-mm These resources are super helpful if you are just starting with AI Agents or know a thing or two. However, if you want to learn about the strategies, mindset , and detailed breakdown of enterprise AI Agent Development. We just released a detailed cohort that will help you achieve that. 🔗 Enroll here: https://lnkd.in/gA3zhcfm The book includes all the details you need to learn AI Agents, as well as our 5-level Agent progression framework for business leaders. 🔗 Book info: https://amzn.to/4irx6nI Save 💾 ➞ React 👍 ➞ Share ♻️ & follow for everything related to AI Agents | 40 comments on LinkedIn
    0 Comments ·0 Shares ·255 Views
  • Ryan Carson is a five-time founder who has spent the past 20 years building, scaling, and selling startups. In this episode, he shares his playbook for using AI to build products, turning “vibe coding” into a structured and scalable approach that can replace full engineering teams.

    What you’ll learn:
    1. A simple three-file system that transforms chaotic AI coding into a structured, reliable process
    2. How to create AI-generated PRDs and task lists that actually work
    3. A step-by-step workflow using Cursor to build features systematically
    4. Why slowing down to provide proper context is the secret to speeding up your AI development
    5. How to use model context protocols (MCPs) to extend your AI’s capabilities beyond just coding
    6. Why founders can now build entire companies with minimal engineering teams and how Ryan is doing it himself

    https://youtu.be/fD4ktSkNCw4?si=cbVp__wJrmyEPObt
    https://www.ryancarson.com/about
    https://github.com/snarktank/ai-dev-tasks

    Tools referenced:
    • ChatGPT: https://chat.openai.com/
    • Claude: https://claude.ai/
    • Gemini 2.5 Pro: https://deepmind.google/models/gemini/pro/
    • Repo Prompt: https://repoprompt.com/
    • Task Master: https://github.com/eyaltoledano/claude-task-master/blob/main/docs/tutorial.md
    • Browserbase: https://browserbase.com/
    • Stagehand: https://docs.stagehand.dev/integrations/mcp-server

    #AICoding #RyanCarson #VibeCoding #ChatGPT #Claude #Gemini2.5Pro #RepoPrompt #TaskMaster #Browserbase #Stagehand #Cursor #AIAgent #ProductDevelopment #NoCode #LowCode #EngineeringTeams #PRD #ModelContextProtocols #AIWorkflow #SoftwareDevelopment #AIDrivenDevelopment #ThreeFileSystem #StructuredCoding #AIScaling
    Ryan Carson is a five-time founder who has spent the past 20 years building, scaling, and selling startups. In this episode, he shares his playbook for using AI to build products, turning “vibe coding” into a structured and scalable approach that can replace full engineering teams. What you’ll learn: 1. A simple three-file system that transforms chaotic AI coding into a structured, reliable process 2. How to create AI-generated PRDs and task lists that actually work 3. A step-by-step workflow using Cursor to build features systematically 4. Why slowing down to provide proper context is the secret to speeding up your AI development 5. How to use model context protocols (MCPs) to extend your AI’s capabilities beyond just coding 6. Why founders can now build entire companies with minimal engineering teams and how Ryan is doing it himself https://youtu.be/fD4ktSkNCw4?si=cbVp__wJrmyEPObt https://www.ryancarson.com/about https://github.com/snarktank/ai-dev-tasks Tools referenced: • ChatGPT: https://chat.openai.com/ • Claude: https://claude.ai/ • Gemini 2.5 Pro: https://deepmind.google/models/gemini/pro/ • Repo Prompt: https://repoprompt.com/ • Task Master: https://github.com/eyaltoledano/claude-task-master/blob/main/docs/tutorial.md • Browserbase: https://browserbase.com/ • Stagehand: https://docs.stagehand.dev/integrations/mcp-server #AICoding #RyanCarson #VibeCoding #ChatGPT #Claude #Gemini2.5Pro #RepoPrompt #TaskMaster #Browserbase #Stagehand #Cursor #AIAgent #ProductDevelopment #NoCode #LowCode #EngineeringTeams #PRD #ModelContextProtocols #AIWorkflow #SoftwareDevelopment #AIDrivenDevelopment #ThreeFileSystem #StructuredCoding #AIScaling
    0 Comments ·0 Shares ·277 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 ·300 Views
  • Now rolled out to 100% of Pro users they said ...Due to higher than expected demand, Plus and Team users will begin getting access Monday.

    https://x.com/OpenAI/status/1945904743148323285
    https://x.com/OpenAI/status/1946024465214935279
    https://x.com/OpenAI/status/1945904745333563656
    Now rolled out to 100% of Pro users they said ...Due to higher than expected demand, Plus and Team users will begin getting access Monday. https://x.com/OpenAI/status/1945904743148323285 https://x.com/OpenAI/status/1946024465214935279 https://x.com/OpenAI/status/1945904745333563656
    0 Comments ·0 Shares ·160 Views
  • So makarte sentiments on Grok 4 is it was built to "break" Benchmark score but not to be actually useful ... users are calling "X" out on this since day of launch !

    https://x.com/burkov/status/1944125708751745352

    #Grok4 #AI #LLM #Benchmark #X #SocialMedia #OpenAI #GPT4 #LanguageModel #ArtificialIntelligence #Chatbot #Innovation #TechNews
    So makarte sentiments on Grok 4 is it was built to "break" Benchmark score but not to be actually useful ... users are calling "X" out on this since day of launch ! https://x.com/burkov/status/1944125708751745352 #Grok4 #AI #LLM #Benchmark #X #SocialMedia #OpenAI #GPT4 #LanguageModel #ArtificialIntelligence #Chatbot #Innovation #TechNews
    0 Comments ·0 Shares ·285 Views
  • BIG ANNOUNCEMENT TODAY !!!

    Sam Altman, Casey Chu, Isa Fulford, Yash Kumar, and Zhiqing Sun introduce and demo the new "unified agentic model" in ChatGPT.

    https://youtu.be/1jn_RpbPbEc

    #ChatGPT #SamAltman #CaseyChu #IsaFulford #YashKumar #ZhiqingSun #UnifiedAgenticModel #AIModel #AgenticAI #LargeLanguageModel #LLM #AIMultimodal #GenerativeAI #GPT #OpenAI #AIDemo #AIAnnouncement #AICapabilities
    BIG ANNOUNCEMENT TODAY !!! Sam Altman, Casey Chu, Isa Fulford, Yash Kumar, and Zhiqing Sun introduce and demo the new "unified agentic model" in ChatGPT. https://youtu.be/1jn_RpbPbEc #ChatGPT #SamAltman #CaseyChu #IsaFulford #YashKumar #ZhiqingSun #UnifiedAgenticModel #AIModel #AgenticAI #LargeLanguageModel #LLM #AIMultimodal #GenerativeAI #GPT #OpenAI #AIDemo #AIAnnouncement #AICapabilities
    0 Comments ·0 Shares ·343 Views
  • The all-in-one AI application
    Everything great about AI in one desktop application. Chat with docs, use AI Agents, and more - full locally and offline.

    Leverage powerful AI tooling with no set up
    - Supports custom models
    Stay local fully with our built-in LLM provider running any model you want.
    Or leverage enterprise models from OpenAI, Azure, AWS, and more.
    - Use every type of document.
    PDFs, word documents, CSV, codebases, and so much more make up your business - now you can use them all. Even import docs from online locations
    - Full privacy
    AnythingLLM comes with sensible and locally running defaults for your LLM, embedder, vector database, and storage and agents. Nothing is shared unless you allow it.
    https://anythingllm.com/
    The all-in-one AI application Everything great about AI in one desktop application. Chat with docs, use AI Agents, and more - full locally and offline. Leverage powerful AI tooling with no set up - Supports custom models Stay local fully with our built-in LLM provider running any model you want. Or leverage enterprise models from OpenAI, Azure, AWS, and more. - Use every type of document. PDFs, word documents, CSV, codebases, and so much more make up your business - now you can use them all. Even import docs from online locations - Full privacy AnythingLLM comes with sensible and locally running defaults for your LLM, embedder, vector database, and storage and agents. Nothing is shared unless you allow it. https://anythingllm.com/
    AnythingLLM | The all-in-one AI application for everyone
    anythingllm.com
    AnythingLLM is the AI application you've been seeking. Use any LLM to chat with your documents, enhance your productivity, and run the latest state-of-the-art LLMs completely privately with no technical setup.
    0 Comments ·0 Shares ·285 Views
  • PromptPanda is an AI-powered prompt management system aimed at simplifying and improving the use of AI prompts. It offers features suitable for small businesses, startups, and personal use, including a free tier. The system helps users manage prompts, preventing loss and enabling efficient team collaboration through prompt variables and OpenAI integration.

    https://www.promptpanda.io/

    #PromptPanda #AIpromptManagement #OpenAI #promptengineering #promptoptimization #promptlibrary #promptvariables #teamprompts #promptsharing #AItools #productivitytools #JasperAI #CopyAI #promptmanagement #promptorganization
    PromptPanda is an AI-powered prompt management system aimed at simplifying and improving the use of AI prompts. It offers features suitable for small businesses, startups, and personal use, including a free tier. The system helps users manage prompts, preventing loss and enabling efficient team collaboration through prompt variables and OpenAI integration. https://www.promptpanda.io/ #PromptPanda #AIpromptManagement #OpenAI #promptengineering #promptoptimization #promptlibrary #promptvariables #teamprompts #promptsharing #AItools #productivitytools #JasperAI #CopyAI #promptmanagement #promptorganization
    PromptPanda; Your AI Prompt Management System
    www.promptpanda.io
    Streamline your AI prompt management with PromptPanda. Organize, tag, and share prompts effortlessly. Try it free today!
    0 Comments ·0 Shares ·367 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 ·442 Views
  • Why Stagehand?
    Most existing browser automation tools either require you to write low-level code in a framework like Selenium, Playwright, or Puppeteer, or use high-level agents that can be unpredictable in production. By letting developers choose what to write in code vs. natural language, Stagehand is the natural choice for browser automations in production.

    Choose when to write code vs. natural language: use AI when you want to navigate unfamiliar pages, and use code (Playwright) when you know exactly what you want to do.

    Preview and cache actions: Stagehand lets you preview AI actions before running them, and also helps you easily cache repeatable actions to save time and tokens.

    Computer use models with one line of code: Stagehand lets you integrate SOTA computer use models from OpenAI and Anthropic into the browser with one line of code.

    https://www.stagehand.dev/
    https://github.com/browserbase/stagehand
    https://youtu.be/Qb1YrN0fZfM?si=mWz5NQgKyC-Lvunz

    #stagehand #browserautomation #playwright #selenium #puppeteer #ai #automation #lowcode #nocode #openai #anthropic #computerusemodels #aitools #webautomation #webscraping
    Why Stagehand? Most existing browser automation tools either require you to write low-level code in a framework like Selenium, Playwright, or Puppeteer, or use high-level agents that can be unpredictable in production. By letting developers choose what to write in code vs. natural language, Stagehand is the natural choice for browser automations in production. Choose when to write code vs. natural language: use AI when you want to navigate unfamiliar pages, and use code (Playwright) when you know exactly what you want to do. Preview and cache actions: Stagehand lets you preview AI actions before running them, and also helps you easily cache repeatable actions to save time and tokens. Computer use models with one line of code: Stagehand lets you integrate SOTA computer use models from OpenAI and Anthropic into the browser with one line of code. https://www.stagehand.dev/ https://github.com/browserbase/stagehand https://youtu.be/Qb1YrN0fZfM?si=mWz5NQgKyC-Lvunz #stagehand #browserautomation #playwright #selenium #puppeteer #ai #automation #lowcode #nocode #openai #anthropic #computerusemodels #aitools #webautomation #webscraping
    Stagehand: A browser automation SDK built for developers and LLMs.
    www.stagehand.dev
    Stagehand makes it easy for both developers and agents to control a browser. Write code once, run it anywhere.
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  • 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
    0 Comments ·0 Shares ·904 Views
  • Kimi AI competes with ChatGPT, with Kimi excelling in deep reasoning and handling extensive context lengths. ChatGPT is more accessible globally and is better for daily development tasks. Kimi targets business users and global markets. OpenAI still leads in global accessibility and knowledge diversity, but Kimi is a strong competitor, especially if long context windows are needed.

    https://www.kimi.com/
    Kimi AI competes with ChatGPT, with Kimi excelling in deep reasoning and handling extensive context lengths. ChatGPT is more accessible globally and is better for daily development tasks. Kimi targets business users and global markets. OpenAI still leads in global accessibility and knowledge diversity, but Kimi is a strong competitor, especially if long context windows are needed. https://www.kimi.com/
    0 Comments ·0 Shares ·331 Views
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