AgentDevs community focuses on a wide range of AI agents and tools designed for various applications such as web data collection, content automation, and task management. It highlights innovative resources like an AI-powered newsletter creator, Google Agent Development Kit examples, and automation frameworks for managing tasks across platforms like YouTube and Instagram. The platform serves as a valuable hub for developers seeking to leverage AI technologies for efficient application development and automation. Key Points - The AgentDevs platform features 122 AI agents and 40 new tools introduced this week, providing a vast resource for developers. - An AI-powered newsletter creator enables users to automate newsletter production by intelligently selecting and processing news content. - The Google Agent Development Kit (ADK) offers structured examples for beginners to familiarize themselves with agent development practices. - The ADK Short Bot facilitates message shortening using Google's advanced AI, improving clarity in communications. - A Vertex AI RAG Document Management Agent allows users to manage documents through natural language queries, streamlining document retrieval and organization. - The CrewAI RAG PDF and YouTube Data Processor enhances information extraction and management of workflows related to different content formats. - The Python Flow Management with CrewAI provides detailed instructions for managing project environments and dependencies in Python for both beginners and experienced developers. https://www.agentdevs.io/ #AgentDevs #AIagents #AITools #WebDataCollection #ContentAutomation #TaskManagement #AINewsletterCreator #GoogleADK #VertexAI #CrewAI #RAG #Python #AutomationFramework #ADKShortBot #AgentDevelopment #NoCodeAI #Bard #Langchain #AutoGPT #Flowise #AICreator #DataExtraction #DocumentManagement

Consider this post as very very important: What is contnext engineering and where can you go to learn learn about this? Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspired by Karpathy and 3Blue1Brown for moving beyond prompt engineering to the wider discipline of context design, orchestration, and optimization. https://github.com/davidkimai/Context-Engineering https://deepwiki.com/davidkimai/Context-Engineering https://www.datacamp.com/blog/context-engineering #contextengineering #andrejkarpathy #3blue1brown #davidkimai #promptengineering #contextwindow #contextdesign #contextorchestration #contextoptimization #ai #llms #deepwiki #datacamp #datascience #ainews

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

This is madness leonidas! So someone beat to the punch l tried working on something similar 3 years ago but yeah ... execution Leonidas ! modelplayground.ai is a platform for comparing and evaluating various AI models. It provides access to over 100 models through a "single subscription" (my mantra for the project ... l m deeply touched!), without any markup. The platform is in its early stages, but it seems geared towards facilitating the side-by-side comparison and analysis of different AI solutions, allowing users to find the best fit for their needs. The website is modelplayground.ai. It compares Image, Video and 3D Ai generators. https://modelplayground.ai/ https://www.linkedin.com/posts/craig-pickard-tech_i-dont-post-on-linkedin-very-often-but-activity-7343356563715178496-CfXX/ https://www.reddit.com/r/SideProject/comments/1lkabo0/we_built_a_playground_to_compare_100_genai_models/ #modelplaygroundai #aimodels #generativeai #machinelearning #ai #sideproject #imageai #videoai #3dai #modelcomparison #aievaluation #aicrossroads #huggingface #midjourney #stablediffusion #aitools #aiml #ainews