New short course: LLMs as Operating Systems: Agent Memory, created with Letta, and taught by its founders Charles Packer and Sarah Wooders. An LLM's input context window has limited space. Using a… | Andrew Ng | 156 comments
New short course: LLMs as Operating Systems: Agent Memor…
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New Short Course: Getting Structured LLM Output! Learn how to get structured outputs from your LLM applications in this course, built in partnership with DotTxt, and taught by Will Kurt, a Founding Engineer, and Cameron Pfiffer, Developer Relations Engineer. It's challenging for software to automatically parse through an LLM's freeform text outputs. Structured outputs—like JSON—solve this by converting natural language into consistent, clear, data that a machine can read and process. This course
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New Short Course: Getting Structured LLM Output! Learn ho…
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Come learn about Vector databases! They are a key part of many LLM applications that need search or data retrieval, for example with Retrieval Augmented Generation (RAG). Learn how they work how to use them in our new short course taught by Weaviate’s Sebastian Witalec: https://www.deeplearning.ai/short-courses/vector-databases-embeddings-applications | Andrew Ng
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Come learn about Vector databases! They are a key part of many LLM a…
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Learn to carry out red teaming attacks against your own LLM-based applications to spot and patch vulnerabilities! In our new short course, “Red Teaming LLM Applications,” Matteo Dora & Luca Martial of LLM testing company Giskard teach how to simulate malicious actions to discover vulnerabilities, and improve security. We start with prompt injection, where you can trick an LLM into bypassing safeguards to reveal private information, or say something inappropriate. There is no one-size-fits-all ap
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Learn to carry out red teaming attacks against your own LLM-bas…
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How can business leaders, not just coders, build AI business applications with LLMs? Our new short course, created with Microsoft, is out! In "How Business Thinkers Can Start Building AI Plugins With Semantic Kernel," taught by John Maeda, you'll learn to use Semantic Kernel and build an AI planner that can automatically select the plugins it needs to create multi-step plans with sophisticated logic. Please sign up here: https://www.deeplearning.ai/short-courses/microsoft-semantic-kernel | Andre
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How can business leaders, not just coders, build AI business applicati…
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New AI Agentic course! Learn to use LangGraph to build single and multi-agent LLM applications in AI Agents in LangGraph. This short course, taught by LangChain founder Harrison Chase and Tavily founder Rotem Weiss shows how to integrate agentic search to enhance an agent's knowledge with query-focused answers in predictable formats. Also learn to implement agentic memory to save state for reasoning and debugging, and see how human-in-the-loop input can guide agents at key junctures. You'll buil
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New short course on LLMOps! LLMOps (large language model operations) is a rapidly developing field that takes ideas from MLOps (machine learning operations) and specializes them to building and deploying LLM-based applications. In this course, taught by Google Cloud's Erwin Huizenga, you'll learn to use automation to make building, tuning and deploying an LLM-based application less manual and more efficient. You'll learn how to: - Apply supervised fine-tuning to tune an LLM to a specific task -
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Many AI-savvy programmers are now coding very differently than b…
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New short course on advanced retrieval for RAG (retrieval augme…
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We just released "Large Language Models with Semantic Search”, bu…
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New short course on Reinforcement Learning from Human Feedback! …
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Introducing "Building with Llama 4." This short course is created with …
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