01 META PROMPT - Project 🚀 Exciting News Alert! 🚀 Hey everyone! I'm thrilled to share an incredible project that takes Large Language Models (LLMs) to the next level! Introducing the "o1-meta-prompt" – a set of guidelines designed to transform any LLM into an OpenAI o1-like model with mind-blowing meta-prompting capabilities. 🧠✨ Imagine LLMs with enhanced cognitive abilities, structured thinking, deep analysis, and ethical assessments. This project empowers LLMs to think recursively, consider multiple perspectives, and continuously improve themselves. It's all about elevating AI to new heights! 🌟 And the best part? It's a simple prompting technique, compatible with any LLM. No complicated tech stack required. Ready to dive in? Check it out on GitHub: [https://github.com/hemangjoshi37a/o1-meta-prompt](https://github.com/hemangjoshi37a/o1-meta-prompt) 🔍 #AIRevolution #MetaPrompt #LLM #OpenAI #TechInnovation #FutureOfAI #CognitiveComputing #DeepLearning #AI #ArtificialIntelligence #TechTrends #Innovation #MachineLearning #TechCommunity #AIAdvancements #GitHub Don't miss out on the AI revolution! 🌐💡

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https://x.com/AndrewYNg/status/1882125891821822398 Our first short course with @AnthropicAI! Building Towards Computer Use with Anthropic. This teaches you to build an LLM-based agent that uses a computer interface by generating mouse clicks and keystrokes. Computer Use is an important, emerging capability for LLMs that will let AI agents do many more tasks than were possible before, since it lets them interact with interfaces designed for humans to use, rather than only tools that provide explicit API access. I hope you will enjoy learning about it! This course is taught by Anthropic's Head of Curriculum, @Colt_Steele. You'll learn to apply image reasoning and tool use to "use" a computer as follows: a model processes an image of the screen, analyzes it to understand what's going on, and navigates the computer via mouse clicks and keystrokes. This course goes through the key building blocks, and culminates in a demo of an AI assistant that uses a web browser to search for a research paper, downloads the PDF, and finally summarizes the paper for you. In detail, you’ll: - Learn about Anthropic's family of models, when to use which one, and make API requests to Claude - Use multi-modal prompts that combine text and image content blocks, and also work with streaming responses - Improve your prompting by using prompt templates, using XML to structure prompts, and providing examples - Implement prompt caching to reduce cost and latency - Apply tool-use to build a chatbot that can call different tools to respond to queries - See all these building blocks come together in Computer Use demo Please sign up here: https://deeplearning.ai/short-courses/building-towards-computer-use-with-anthropic

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