• Metaschool is an open-source AI agent marketplace offering over 100 agents across various categories. The platform fosters collaboration and innovation by allowing developers to share their creations and users to access diverse AI solutions. However, since the agents are open-source, their reliability can vary, and not all are vetted for performance or safety. Metaschool primarily focuses on Web3 and blockchain education, tooling, and developer support, making it less ideal for marketing-specific AI needs.

    https://metaschool.so

    #Metaschool #AI #OpenSource #AICommunity #BlockchainTools #Web3Education #AIAgentMarketplace #FutureOfTech #TechInnovation #AIForDevelopers #OpenSourceTools #AIApplications

    https://metaschool.so/ai-agents
    Metaschool is an open-source AI agent marketplace offering over 100 agents across various categories. The platform fosters collaboration and innovation by allowing developers to share their creations and users to access diverse AI solutions. However, since the agents are open-source, their reliability can vary, and not all are vetted for performance or safety. Metaschool primarily focuses on Web3 and blockchain education, tooling, and developer support, making it less ideal for marketing-specific AI needs. https://metaschool.so #Metaschool #AI #OpenSource #AICommunity #BlockchainTools #Web3Education #AIAgentMarketplace #FutureOfTech #TechInnovation #AIForDevelopers #OpenSourceTools #AIApplications https://metaschool.so/ai-agents
    AI Agents Marketplace - Discover 100+ AI Agents on Metaschool
    metaschool.so
    Find the best AI Agents for your next task from a directory of 100+ ai agents worldwide. Discover or submit your agent today.
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  • Learn AI Engineering: Master ML models, AI systems, and Agentic workflows, while understanding Data Science. AIFolks membership provides structured learning and a curated community to analyze data, build predictive models, and solve real-world problems using AI.

    https://www.aifolks.org/

    #AIFolks #AIEngineering #MachineLearning #AISystems #AgenticWorkflows #DataScience #PredictiveModels #AICommunity #StructuredLearning #RealWorldAI #TensorFlow #PyTorch #ScikitLearn
    Learn AI Engineering: Master ML models, AI systems, and Agentic workflows, while understanding Data Science. AIFolks membership provides structured learning and a curated community to analyze data, build predictive models, and solve real-world problems using AI. https://www.aifolks.org/ #AIFolks #AIEngineering #MachineLearning #AISystems #AgenticWorkflows #DataScience #PredictiveModels #AICommunity #StructuredLearning #RealWorldAI #TensorFlow #PyTorch #ScikitLearn
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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
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  • Building complex, production-ready AI agents, especially multi-modal or multi-agent systems, can be challenging. Introducing the Agent Development Kit (ADK), a new open-source project from Google designed to simplify this process based on Google's internal experience. ADK provides a powerful, open foundation (model-agnostic, deployment-agnostic, interoperable) that makes agent development feel like software development, complete with native multi-modal streaming and easy local debugging via a built-in UI.

    Watch Product Manager Anand Iyer, Tech Lead Bo Yang, and Developer Advocate, Ivan Nardini introduce ADK and demo building a multi-agent, multi-modal travel planner quickly using the SDK. Learn about the core design principles and see how you can get started building your own sophisticated AI agents today.

    Resources:
    Get Started → https://google.github.io/adk-docs
    Sample Agents → https://goo.gle/3Rbdo4s

    Subscribe to Google for Developers → https://goo.gle/developers

    #ADK #AgentDevelopmentKit #GoogleAI #OpenSource #AIAgents #MultiModal #MultiAgentSystems #AIDevelopment #AIWorkflow #GenAI #LangChain #AutoGen #AIInfrastructure #SoftwareDevelopment #DebuggingUI #TravelPlanner #Python #AICommunity #ModelAgnostic #DeploymentAgnostic
    Building complex, production-ready AI agents, especially multi-modal or multi-agent systems, can be challenging. Introducing the Agent Development Kit (ADK), a new open-source project from Google designed to simplify this process based on Google's internal experience. ADK provides a powerful, open foundation (model-agnostic, deployment-agnostic, interoperable) that makes agent development feel like software development, complete with native multi-modal streaming and easy local debugging via a built-in UI. Watch Product Manager Anand Iyer, Tech Lead Bo Yang, and Developer Advocate, Ivan Nardini introduce ADK and demo building a multi-agent, multi-modal travel planner quickly using the SDK. Learn about the core design principles and see how you can get started building your own sophisticated AI agents today. Resources: Get Started → https://google.github.io/adk-docs Sample Agents → https://goo.gle/3Rbdo4s Subscribe to Google for Developers → https://goo.gle/developers #ADK #AgentDevelopmentKit #GoogleAI #OpenSource #AIAgents #MultiModal #MultiAgentSystems #AIDevelopment #AIWorkflow #GenAI #LangChain #AutoGen #AIInfrastructure #SoftwareDevelopment #DebuggingUI #TravelPlanner #Python #AICommunity #ModelAgnostic #DeploymentAgnostic
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  • Exciting News! Dive into the world of AI with this fantastic interactive tutorial on prompt engineering by Anthropic! Whether you're a curious beginner or a seasoned tech enthusiast, this course is designed to spark your creativity and enhance your understanding of AI-driven solutions. Don't miss out on the opportunity to learn from the best and elevate your skills! Check it out here: https://github.com/anthropics/courses/tree/master/prompt_engineering_interactive_tutorial/Anthropic%201P

    Welcome to Anthropic's educational courses. This repository currently contains five courses. We suggest completing the courses in the following order:

    Anthropic API fundamentals - teaches the essentials of working with the Claude SDK: getting an API key, working with model parameters, writing multimodal prompts, streaming responses, etc.
    Prompt engineering interactive tutorial - a comprehensive step-by-step guide to key prompting techniques. [AWS Workshop version]
    Real world prompting - learn how to incorporate prompting techniques into complex, real world prompts. [Google Vertex version]
    Prompt evaluations - learn how to write production prompt evaluations to measure the quality of your prompts.
    Tool use - teaches everything you need to know to implement tool use successfully in your workflows with Claude.

    #AI #MachineLearning #ArtificialIntelligence #TechTrends #Innovation #FutureTech #AICommunity #LearnAI #TechEducation #DigitalSkills #AIRevolution #TechLovers #CodingLife #InteractiveLearning #AnthropicAI #PromptEngineering #ExploreAI #TechSavvy #AIInsights #SkillUp
    🚀 Exciting News! 🚀 Dive into the world of AI with this fantastic interactive tutorial on prompt engineering by Anthropic! Whether you're a curious beginner or a seasoned tech enthusiast, this course is designed to spark your creativity and enhance your understanding of AI-driven solutions. Don't miss out on the opportunity to learn from the best and elevate your skills! Check it out here: https://github.com/anthropics/courses/tree/master/prompt_engineering_interactive_tutorial/Anthropic%201P Welcome to Anthropic's educational courses. This repository currently contains five courses. We suggest completing the courses in the following order: Anthropic API fundamentals - teaches the essentials of working with the Claude SDK: getting an API key, working with model parameters, writing multimodal prompts, streaming responses, etc. Prompt engineering interactive tutorial - a comprehensive step-by-step guide to key prompting techniques. [AWS Workshop version] Real world prompting - learn how to incorporate prompting techniques into complex, real world prompts. [Google Vertex version] Prompt evaluations - learn how to write production prompt evaluations to measure the quality of your prompts. Tool use - teaches everything you need to know to implement tool use successfully in your workflows with Claude. #AI #MachineLearning #ArtificialIntelligence #TechTrends #Innovation #FutureTech #AICommunity #LearnAI #TechEducation #DigitalSkills #AIRevolution #TechLovers #CodingLife #InteractiveLearning #AnthropicAI #PromptEngineering #ExploreAI #TechSavvy #AIInsights #SkillUp
    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.
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