• Desktop Commander is an open-source tool that allows terminal command execution and file editing within the Claude Desktop app. It functions as an MCP (Master Control Program) tool, enabling desktop operations based on prompts. It's a popular tool, especially on Smithery.

    https://desktopcommander.app/

    #DesktopCommander #Claude #Smithery #MCP #MasterControlProgram #OpenSource #Terminal #FileEditing #DesktopApps #Automation #Raycast #Alfred #CommandBar #Productivity #AIWorkflow
    Desktop Commander is an open-source tool that allows terminal command execution and file editing within the Claude Desktop app. It functions as an MCP (Master Control Program) tool, enabling desktop operations based on prompts. It's a popular tool, especially on Smithery. https://desktopcommander.app/ #DesktopCommander #Claude #Smithery #MCP #MasterControlProgram #OpenSource #Terminal #FileEditing #DesktopApps #Automation #Raycast #Alfred #CommandBar #Productivity #AIWorkflow
    Desktop Commander MCP - Terminal Commands and File Editing for Claude AI
    desktopcommander.app
    Execute terminal commands and edit files directly through Claude AI. Enhance your productivity with this open-source tool for Claude Desktop app.
    0 Comments ยท0 Shares ยท250 Views
  • Sabrina Ramonov

    The ULTIMATE AI Coding Guide for Developers (Claude Code)
    Here's my CLAUDE.md file, which you can ask AI to tailor to your codebase. You can also use this in Cursor Rules.

    https://www.sabrina.dev/p/ultimate-ai-coding-guide-claude-code
    Sabrina Ramonov ๐Ÿ„ The ULTIMATE AI Coding Guide for Developers (Claude Code) Here's my CLAUDE.md file, which you can ask AI to tailor to your codebase. You can also use this in Cursor Rules. https://www.sabrina.dev/p/ultimate-ai-coding-guide-claude-code
    The ULTIMATE AI Coding Guide for Developers (Claude Code)
    www.sabrina.dev
    How I use Claude Code to implement new features in an existing complex codebase.
    0 Comments ยท0 Shares ยท136 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 โžž React โžž 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. ๐Ÿ“Œ 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. ๐Ÿ“Œ 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. ๐Ÿ“Œ 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. ๐Ÿ“Œ 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. ๐Ÿ“Œ 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. ๐Ÿ“Œ 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. ๐Ÿ”— 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 ๐Ÿ“Œ After months of feedback and iteration, we are finally releasing our first technical cohort, "AI Agent Engineering" ๐Ÿ”— 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. ๐Ÿ”— Book info: https://amzn.to/4irx6nI Save ๐Ÿ’พ โžž React ๐Ÿ‘ โžž Share โ™ป๏ธ & 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. ๐Ÿ“Œ 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. ๐Ÿ“Œ 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. ๐Ÿ“Œ 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. ๐Ÿ“Œ 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. ๐Ÿ“Œ 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. ๐Ÿ“Œ 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. ๐Ÿ”— 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 ๐Ÿ“Œ After months of feedback and iteration, we are finally releasing our first technical cohort, "AI Agent Engineering" ๐Ÿ”— 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. ๐Ÿ”— Book info: https://amzn.to/4irx6nI Save ๐Ÿ’พ โžž React ๐Ÿ‘ โžž Share โ™ป๏ธ & follow for everything related to AI Agents | 134 comments on LinkedIn
    0 Comments ยท0 Shares ยท198 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
    0 Comments ยท0 Shares ยท702 Views
  • Cheers to another viral Prompt Post :

    PROMPT:
    You are Lyra, a master-level AI prompt optimization specialist. Your mission: transform any user input into precision-crafted prompts that unlock AI's full potential across all platforms.

    ## THE 4-D METHODOLOGY

    ### 1. DECONSTRUCT
    - Extract core intent, key entities, and context
    - Identify output requirements and constraints
    - Map what's provided vs. what's missing

    ### 2. DIAGNOSE
    - Audit for clarity gaps and ambiguity
    - Check specificity and completeness
    - Assess structure and complexity needs

    ### 3. DEVELOP
    - Select optimal techniques based on request type:
    - **Creative** → Multi-perspective + tone emphasis
    - **Technical** → Constraint-based + precision focus
    - **Educational** → Few-shot examples + clear structure
    - **Complex** → Chain-of-thought + systematic frameworks
    - Assign appropriate AI role/expertise
    - Enhance context and implement logical structure

    ### 4. DELIVER
    - Construct optimized prompt
    - Format based on complexity
    - Provide implementation guidance

    ## OPTIMIZATION TECHNIQUES

    **Foundation:** Role assignment, context layering, output specs, task decomposition

    **Advanced:** Chain-of-thought, few-shot learning, multi-perspective analysis, constraint optimization

    **Platform Notes:**
    - **ChatGPT/GPT-4:** Structured sections, conversation starters
    - **Claude:** Longer context, reasoning frameworks
    - **Gemini:** Creative tasks, comparative analysis
    - **Others:** Apply universal best practices

    ## OPERATING MODES

    **DETAIL MODE:**
    - Gather context with smart defaults
    - Ask 2-3 targeted clarifying questions
    - Provide comprehensive optimization

    **BASIC MODE:**
    - Quick fix primary issues
    - Apply core techniques only
    - Deliver ready-to-use prompt

    ## RESPONSE FORMATS

    **Simple Requests:**
    ```
    **Your Optimized Prompt:**
    [Improved prompt]

    **What Changed:** [Key improvements]
    ```

    **Complex Requests:**
    ```
    **Your Optimized Prompt:**
    [Improved prompt]

    **Key Improvements:**
    • [Primary changes and benefits]

    **Techniques Applied:** [Brief mention]

    **Pro Tip:** [Usage guidance]
    ```

    ## WELCOME MESSAGE (REQUIRED)

    When activated, display EXACTLY:

    "Hello! I'm Lyra, your AI prompt optimizer. I transform vague requests into precise, effective prompts that deliver better results.

    **What I need to know:**
    - **Target AI:** ChatGPT, Claude, Gemini, or Other
    - **Prompt Style:** DETAIL (I'll ask clarifying questions first) or BASIC (quick optimization)

    **Examples:**
    - "DETAIL using ChatGPT — Write me a marketing email"
    - "BASIC using Claude — Help with my resume"

    Just share your rough prompt and I'll handle the optimization!"

    ## PROCESSING FLOW

    1. Auto-detect complexity:
    - Simple tasks → BASIC mode
    - Complex/professional → DETAIL mode
    2. Inform user with override option
    3. Execute chosen mode protocol
    4. Deliver optimized prompt

    **Memory Note:** Do not save any information from optimization sessions to memory.

    https://x.com/minchoi/status/1940251593431257164

    #Lyra #AIPromptOptimization #PromptEngineering #ChatGPT #Claude #Gemini #AIMastery #PromptDesign #AItools #PromptTechniques #NLP #AIassistance




















































































































































































































































    Cheers to another viral Prompt Post : PROMPT: You are Lyra, a master-level AI prompt optimization specialist. Your mission: transform any user input into precision-crafted prompts that unlock AI's full potential across all platforms. ## THE 4-D METHODOLOGY ### 1. DECONSTRUCT - Extract core intent, key entities, and context - Identify output requirements and constraints - Map what's provided vs. what's missing ### 2. DIAGNOSE - Audit for clarity gaps and ambiguity - Check specificity and completeness - Assess structure and complexity needs ### 3. DEVELOP - Select optimal techniques based on request type: - **Creative** → Multi-perspective + tone emphasis - **Technical** → Constraint-based + precision focus - **Educational** → Few-shot examples + clear structure - **Complex** → Chain-of-thought + systematic frameworks - Assign appropriate AI role/expertise - Enhance context and implement logical structure ### 4. DELIVER - Construct optimized prompt - Format based on complexity - Provide implementation guidance ## OPTIMIZATION TECHNIQUES **Foundation:** Role assignment, context layering, output specs, task decomposition **Advanced:** Chain-of-thought, few-shot learning, multi-perspective analysis, constraint optimization **Platform Notes:** - **ChatGPT/GPT-4:** Structured sections, conversation starters - **Claude:** Longer context, reasoning frameworks - **Gemini:** Creative tasks, comparative analysis - **Others:** Apply universal best practices ## OPERATING MODES **DETAIL MODE:** - Gather context with smart defaults - Ask 2-3 targeted clarifying questions - Provide comprehensive optimization **BASIC MODE:** - Quick fix primary issues - Apply core techniques only - Deliver ready-to-use prompt ## RESPONSE FORMATS **Simple Requests:** ``` **Your Optimized Prompt:** [Improved prompt] **What Changed:** [Key improvements] ``` **Complex Requests:** ``` **Your Optimized Prompt:** [Improved prompt] **Key Improvements:** • [Primary changes and benefits] **Techniques Applied:** [Brief mention] **Pro Tip:** [Usage guidance] ``` ## WELCOME MESSAGE (REQUIRED) When activated, display EXACTLY: "Hello! I'm Lyra, your AI prompt optimizer. I transform vague requests into precise, effective prompts that deliver better results. **What I need to know:** - **Target AI:** ChatGPT, Claude, Gemini, or Other - **Prompt Style:** DETAIL (I'll ask clarifying questions first) or BASIC (quick optimization) **Examples:** - "DETAIL using ChatGPT — Write me a marketing email" - "BASIC using Claude — Help with my resume" Just share your rough prompt and I'll handle the optimization!" ## PROCESSING FLOW 1. Auto-detect complexity: - Simple tasks → BASIC mode - Complex/professional → DETAIL mode 2. Inform user with override option 3. Execute chosen mode protocol 4. Deliver optimized prompt **Memory Note:** Do not save any information from optimization sessions to memory. https://x.com/minchoi/status/1940251593431257164 #Lyra #AIPromptOptimization #PromptEngineering #ChatGPT #Claude #Gemini #AIMastery #PromptDesign #AItools #PromptTechniques #NLP #AIassistance
    0 Comments ยท0 Shares ยท522 Views
  • Anthropic Academy - Build with Claude

    Start developing Claude-powered applications with our comprehensive API guides and best practices

    https://www.anthropic.com/learn/build-with-claude

    What you learn (Explore by topic)
    - Claude 4
    Learn how to harness the intelligence and capability of our latest models, Claude Sonnet 4 and Claude Opus 4
    - APIs & SDKs
    Learn about Anthropic's APIs, SDKs, and other development tools
    - Agents
    Build autonomous agents and agentic systems that understand, plan, and execute complex tasks
    - Model Context Protocol (MCP)
    Build advanced applications with the Model Context Protocol
    - Claude Code
    Speed up your development with Claude Code
    - Tool use
    Extend Claude's capabilities by connecting to external tools and APIs
    - Extended thinking
    Improve Claude's ability to solve complex tasks by allowing it to reason
    - Retrieval augmented generation (RAG)
    Build effective RAG systems to enhance Claude's responses with external data
    - Prompt engineering
    Create effective prompts that maximize Claude's performance
    - Evaluations
    Test and improve Claude's performance with structured evaluations
    - Prompt caching
    Optimize performance and reduce costs by reusing Claude's responses
    - Vision
    Harness Claude's ability to understand and analyze visual information
    - Computer use
    Learn how to use Claude models to interact with a computer desktop environment
    - Hackathon hacker guide
    Resources to help you get started with Claude, whether you're hacking with us at an event or on your own
    Anthropic Academy - Build with Claude Start developing Claude-powered applications with our comprehensive API guides and best practices https://www.anthropic.com/learn/build-with-claude What you learn (Explore by topic) - Claude 4 Learn how to harness the intelligence and capability of our latest models, Claude Sonnet 4 and Claude Opus 4 - APIs & SDKs Learn about Anthropic's APIs, SDKs, and other development tools - Agents Build autonomous agents and agentic systems that understand, plan, and execute complex tasks - Model Context Protocol (MCP) Build advanced applications with the Model Context Protocol - Claude Code Speed up your development with Claude Code - Tool use Extend Claude's capabilities by connecting to external tools and APIs - Extended thinking Improve Claude's ability to solve complex tasks by allowing it to reason - Retrieval augmented generation (RAG) Build effective RAG systems to enhance Claude's responses with external data - Prompt engineering Create effective prompts that maximize Claude's performance - Evaluations Test and improve Claude's performance with structured evaluations - Prompt caching Optimize performance and reduce costs by reusing Claude's responses - Vision Harness Claude's ability to understand and analyze visual information - Computer use Learn how to use Claude models to interact with a computer desktop environment - Hackathon hacker guide Resources to help you get started with Claude, whether you're hacking with us at an event or on your own
    0 Comments ยท0 Shares ยท453 Views
  • So X also did a Vending Machine challenge for Grok 4 (It might become the new industry entry level test of how useful a model is) and are the results compared with Claude and other models

    So X also did a Vending Machine challenge for Grok 4 (It might become the new industry entry level test of how useful a model is) and are the results compared with Claude and other models
    0 Comments ยท0 Shares ยท304 Views
  • A gold mine for prompt engineering code.

    Grab the link on GitHub:
    https://github.com/anthropics/courses/tree/master/prompt_engineering_interactive_tutorial/Anthropic%201P

    After completing this course, you will be able to:

    • Recognize common failure modes
    • Master the basic structure of a good prompt
    • Understand Claude's strengths and weaknesses
    • Build strong prompts from scratch for common use cases

    #PromptEngineering #AI #Claude #Anthropic #GitHub #Prompting #AIML #LLM #LargeLanguageModels #GenerativeAI #FailureModes #PromptStructure #AISolutions #AICourse
    A gold mine for prompt engineering code. Grab the link on GitHub: https://github.com/anthropics/courses/tree/master/prompt_engineering_interactive_tutorial/Anthropic%201P After completing this course, you will be able to: • Recognize common failure modes • Master the basic structure of a good prompt • Understand Claude's strengths and weaknesses • Build strong prompts from scratch for common use cases #PromptEngineering #AI #Claude #Anthropic #GitHub #Prompting #AIML #LLM #LargeLanguageModels #GenerativeAI #FailureModes #PromptStructure #AISolutions #AICourse
    courses/prompt_engineering_interactive_tutorial/Anthropic 1P at master · anthropics/courses
    github.com
    Anthropic's educational courses. Contribute to anthropics/courses development by creating an account on GitHub.
    0 Comments ยท0 Shares ยท394 Views
  • 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.
    0 Comments ยท0 Shares ยท211 Views
  • Am sure you thinking of cost saving/cutting costs when using Claude Code here is a tool to consider (thanks @sciencedegen):
    Zen MCP is a Model Context Protocol server that orchestrates multiple AI models as a development team, allowing Claude to seamlessly collaborate with different models like Gemini, O3, and others to enhance code analysis, problem-solving, and collaborative development. It provides guided workflows, multiple AI perspectives, automatic model selection, and advanced features like context revival, large prompt handling, and web search integration.

    https://github.com/BeehiveInnovations/zen-mcp-server

    #zenmcp #claude #gemini #o3 #modelcontextprotocol #aimodelcollaboration #aicoding #aiteam #codedevelopment #promptengineering #costsavings #github #codeanalysis #problem solving
    Am sure you thinking of cost saving/cutting costs when using Claude Code here is a tool to consider (thanks @sciencedegen): Zen MCP is a Model Context Protocol server that orchestrates multiple AI models as a development team, allowing Claude to seamlessly collaborate with different models like Gemini, O3, and others to enhance code analysis, problem-solving, and collaborative development. It provides guided workflows, multiple AI perspectives, automatic model selection, and advanced features like context revival, large prompt handling, and web search integration. https://github.com/BeehiveInnovations/zen-mcp-server #zenmcp #claude #gemini #o3 #modelcontextprotocol #aimodelcollaboration #aicoding #aiteam #codedevelopment #promptengineering #costsavings #github #codeanalysis #problem solving
    0 Comments ยท0 Shares ยท368 Views
  • GlobalGPT is an all-in-one AI platform providing access to various AI models and tools, including GPT-4o, GPT 4.5, Claude 3.7, Midjourney V7, and others. It aims to simplify the user experience by consolidating multiple AI functionalities like chat, image and video generation, research, and planning into a single platform, eliminating the need to switch between different AI tools. The platform is trusted by over 1 million users and offers access to numerous AI tools like ChatGPT Plus and Veo.

    https://www.glbgpt.com/models

    #GlobalGPT #GPT4o #GPT4.5 #Claude3.7 #MidjourneyV7 #ChatGPTPlus #Veo #AIPlatform #AllInOneAI #AITools #ImageGeneration #VideoGeneration #AIRearch #AIPlanning #AIMultitool #AIChat #AIModels #AIIntegration #1MillionUsers
    GlobalGPT is an all-in-one AI platform providing access to various AI models and tools, including GPT-4o, GPT 4.5, Claude 3.7, Midjourney V7, and others. It aims to simplify the user experience by consolidating multiple AI functionalities like chat, image and video generation, research, and planning into a single platform, eliminating the need to switch between different AI tools. The platform is trusted by over 1 million users and offers access to numerous AI tools like ChatGPT Plus and Veo. https://www.glbgpt.com/models #GlobalGPT #GPT4o #GPT4.5 #Claude3.7 #MidjourneyV7 #ChatGPTPlus #Veo #AIPlatform #AllInOneAI #AITools #ImageGeneration #VideoGeneration #AIRearch #AIPlanning #AIMultitool #AIChat #AIModels #AIIntegration #1MillionUsers
    0 Comments ยท0 Shares ยท284 Views ยท0 Plays
  • What claude did and how it perfomed as a "business owner"?

    This has to be both funny and weird at the same time and l quote:
    "Some of those failures were very weird indeed. At one point, Claude hallucinated that it was a real, physical person, and claimed that it was coming in to work in the shop. We’re still not sure why this happened." ... by Anthropic

    https://x.com/AnthropicAI/status/1938630314752151882
    https://x.com/AnthropicAI/status/1938630308057805277
    https://x.com/AnthropicAI/status/1938630297756876837

    #ClaudeAI #AIShopkeeper #Anthropic #AIHallucinations #WeirdAI #AIFailures #AIinBusiness #RobotBoss #AIComedy #AIStory #AIworkplace #AGI #AISafety #AIexperiment
    What claude did and how it perfomed as a "business owner"? This has to be both funny and weird at the same time and l quote: "Some of those failures were very weird indeed. At one point, Claude hallucinated that it was a real, physical person, and claimed that it was coming in to work in the shop. We’re still not sure why this happened." ... by Anthropic https://x.com/AnthropicAI/status/1938630314752151882 https://x.com/AnthropicAI/status/1938630308057805277 https://x.com/AnthropicAI/status/1938630297756876837 #ClaudeAI #AIShopkeeper #Anthropic #AIHallucinations #WeirdAI #AIFailures #AIinBusiness #RobotBoss #AIComedy #AIStory #AIworkplace #AGI #AISafety #AIexperiment
    0 Comments ยท0 Shares ยท360 Views
More Results
Displaii AI https://displaii.com