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LLMs as Agents Large Language Models (LLMs) like *GPT*, *Claude*, or *Gemini* can act as intelligent. *What does it mean to be an agent?* An *LLM agent* can: • Understand a goal • Break it into steps • Use tools or APIs • Adapt based on c

🚀 For the first time in LLM History! Introducing Agentic Compound LLMs in AnyLLM. What are agentic LLM's ? Agentic LLMs have access to all the 10+ llms in anyllm and know when you use any one of them to perform a specific task. They also have acces

Master LLMs without paying a rupee. LLMCourse is a complete learning track to go from zero to LLM expert — using just Google Colab. You’ll learn: – The core math, Python, and neural network concepts – How to train your own LLMs – How to build and

30 AI Buzzwords Explained for Entrepreneurs 1) Large Language Model (LLM) LLMs are like super-smart computer programs that can understand and do almost anything you ask them using regular language. Think of tools like ChatGPT or Gemini – they're a

Is coding frontend&backend in authentic way is sensible rn cause there are many tools and ai agents should I go to learn frontend and backend even if I know logic how backend and api works should learn code is a manner way rn

3B LLM outperforms 405B LLM 🤯 Similarly, a 7B LLM outperforms OpenAI o1 & DeepSeek-R1 🤯 🤯 LLM: llama 3 Datasets: MATH-500 & AIME-2024 This has done on research with compute optimal Test-Time Scaling (TTS). Recently, OpenAI o1 shows that Test-

Hey gamedevs I have a question, If you have a bug in game logic where one case is not satisfying which is easy to understand but getting solution is tough On that time what you do, how you fix that?

Every day you skip reading this book = a missed opportunity. AI Engineering by @chipro is gold: • Build with LLMs • RAG & agents • Dataset engineering • Evaluation metrics that matter This isn’t just theory. It’s how to build. #AI #LLM #RAG #Tec

𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻: 𝗧𝗵𝗲 𝗙𝗮𝘀𝘁𝗲𝘀𝘁-𝗚𝗿𝗼𝘄𝗶𝗻𝗴 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 LangChain is quickly emerging as the go to framework for developing AI agents and intelligent LLM-powered applications. In a short