Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (A…
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Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
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Announcing a new Coursera course: Retrieval Augmented Generation (RAG) You'll learn to build high performance, production-ready RAG systems in this hands-on, in-depth course created by DeepLearning.AI and taught by Zain Hasan, experienced AI and ML engineer, researcher, and educator. RAG is a critical component today of many LLM-based applications in customer support, internal company Q&A systems, even many of the leading chatbots that use web search to answer your questions. This course teaches
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Andrew Ng s Machine Learning Course Fundamentals | Avichal Sharma posted on the topic | LinkedIn
Andrew Ng s Machine Learning Course Fundamentals | Avichal Sh…
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New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs acce
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New short course: Evaluating AI Agents! Evals are important for driving AI system improvements, and in this course you'll learn to systematically assess and improve an AI agent’s performance. This is built in partnership with Arize AI and taught by John Gilhuly, Head of Developer Relations, and Aman Khan, Director of Product. I've often found evals to be a critical tool in the agent development process - they can be the difference between picking the right thing to work on vs. wasting weeks of e
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