Chinese tech giant Tencent just launched Hunyuan-T1, a reasoning model that blends “speed, accuracy, and efficiency,” while beating GPT-4.5 and o1 across multiple benchmarks. https://huggingface.co/spaces/tencent/Hunyuan-T1 https://llm.hunyuan.tencent.com/#/chat/hy-t1 https://llm.hunyuan.tencent.com

Developer favorite platform for building AI agents and LLM apps. OpenAI Agents SDK, CrewAI, Autogen, and 400+ LLMs and agent frameworks. https://www.agentops.ai/ https://github.com/AgentOps-AI/agentops #aiagents #agents_ops #dev_ai_agents #nocode

MCP clients are shaking up the way we interact with AI agents, and This New MCP Client Lets You Integrate So Many MCP Servers. This video dives into everything from a basic MCP tutorial to advanced integrations using various MCP servers. Whether you’re running a file system MCP server, a Python MCP server, or even a Cursor MCP server, OpenMCP has you covered. We’ll also explore niche setups like Claude MCP, Anthropic MCP, and setups that utilize the model context protocol—be it Anthropic model context protocol or Claude model context protocol. Resources & Links: 🔗 OpenMCP GitHub: https://github.com/CopilotKit/open-mc... 🔗 Composio.dev (MCP Server Library): https://mcp.composio.dev/ 🔗 Notion Guide (Documentation): https://composio.notion.site/Cursor-M... Along the way, you’ll learn how to connect multiple AI agents, including cutting-edge solutions like the model context protocol AI agent and MCP AI agent. Plus, we’ll chat about LLM tech, integrate Cursor AI with traditional setups, and even throw in some playwright automation tips for streamlined workflows. In this video, I cover: ✅ What MCP and model context protocol are all about ✅ Why OpenMCP is a game-changer for AI and automation ✅ Hands-on demos with popular tools like Gmail, Notion, and Google Drive ✅ How to integrate AI setups—from Claude AI and Anthropic Claude to more experimental systems ✅ A step-by-step guide for installing and running your own MCP servers (yes, including file system, Python, and Cursor variants) without the headache of API keys and env variables OpenMCP is still evolving, and with all these powerful tools like Claude, Anthropic, and Cursor, the future of AI automation looks super promising. Let me know your thoughts in the comments, and if you dig this content, hit like, subscribe, and stay tuned for more cool AI-powered workflow hacks! https://youtu.be/xEyKT5iY0W0?si=ZvnbFqlYu-A9_0q_

Resources & Guides Explore our collection of articles, tutorials, and insights about MCP development. https://www.mcpappstore.com/ #mcp #tutorial #modelcontextprotocol #anthropic #claude #llm

FREE COURSE LLM Evaluation with Opik Learn to test and evaluate your LLM applications using the latest tools and techniques, including LLM-as-a-judge metrics and production LLM monitoring. https://www.comet.com/site/llm-course/

This is the only course completely focused on applying state-of-the-art LLM evaluation techniques to real world applications. We will cover some theory, but this is first and foremost a course in applied AI, not mathematics. https://www.comet.com/site/llm-course/ #AI #LLM #MachineLearning #AppliedAI #ArtificialIntelligence #AIApplications #TechInnovation #AITraining #LLMEvaluation #AITheory

https://www.fine.dev/ Fine | AI Coding Tool for Startups | AI Developer Agents Fine is an AI Coding agent for software developers and programmers at startups to use LLMs to write code and complete dev tasks. Sign up to Fine, the AI coding tool for startups.

https://openrouter.ai/ OpenRouter provides a unified API that gives you access to hundreds of AI models through a single endpoint, while automatically handling fallbacks and selecting the most cost-effective options. Get started with just a few lines of code using your preferred SDK or framework. #openrouter #unifiedllms #llmsaggregator #huggingface

https://stackblitz-labs.github.io/bolt.diy/#setup bolt.diy allows you to choose the LLM that you use for each prompt! Currently, you can use OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, or Groq models - and it is easily extended to use any other model supported by the Vercel AI SDK! See the instructions below for running this locally and extending it to include more models. #bolt #bolt_diy #opensource #openai #claude #groq #deepseek #vercel #v0

https://github.com/stackblitz-labs/bolt.diy?tab=readme-ov-file Welcome to bolt.diy, the official open source version of Bolt.new (previously known as oTToDev and bolt.new ANY LLM), which allows you to choose the LLM that you use for each prompt! Currently, you can use OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, or Groq models - and it is easily extended to use any other model supported by the Vercel AI SDK! See the instructions below for running this locally and extending it to include more models.

https://www.tiktok.com/@theaiconsultinglab/video/7472894662848662830 https://console.anthropic.com/dashboard https://platform.openai.com/playground/chat?models=gpt-4o Did you know that both Anthropic and OpenAI have prompt generator tools that can save you probably 90-95% of time writing prompts for LLM's? *Disclaimer* you will need to create an account on their developer platform and fund it with $5, but there is no ongoing fee to access this platform, and the $5 will go a LONG way for creating prompts. Prompt engineering is important, there's no doubt about that, but the model companies are making more progress towards a world where it becomes less important. With every new model that comes out, the reliance on well structured and engineered prompts becomes less important because the models get better at understanding user intents. On top of that, we could start seeing some of these companies implement a type of workflow similar to this prompt generator tool, which translates your requests into well structured prompts automatically. You will still need to be able to diagnose and troubleshoot your prompts if they don't produce the desired result, but using these tools can save you a massive amount of time. For most of my use cases, I will typically use the Anthropic console to write my prompts, and it requires very little editing. Have you tried these tools out yet, if so, what are your impressions of the quality of the prompts they produce? #ai #chatgpt #aiconsulting #llm #deepseek #claude #openai

https://www.promptingguide.ai/agents/introduction In this guide, we refer to an agent as an LLM-powered system designed to take actions and solve complex tasks autonomously. Unlike traditional LLMs, AI agents go beyond simple text generation. They are equipped with additional capabilities, including: Planning and reflection: - AI agents can analyze a problem, break it down into steps, and adjust their approach based on new information. - Tool access: They can interact with external tools and resources, such as databases, APIs, and software applications, to gather information and execute actions. - Memory: AI agents can store and retrieve information, allowing them to learn from past experiences and make more informed decisions. This lecture discusses the concept of AI agents and their significance in the realm of artificial intelligence.