Practical Guide to Using Large Language Models
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Build GenAI Apps from Scratch — UCSB PaCE Certificate Program
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Overview
Syllabus
00:00:00 Intro into the growing LLM ecosystem
00:02:54 ChatGPT interaction under the hood
00:13:12 Basic LLM interactions examples
00:18:03 Be aware of the model you're using, pricing tiers
00:22:54 Thinking models and when to use them
00:31:00 Tool use: internet search
00:42:04 Tool use: deep research
00:50:57 File uploads, adding documents to context
00:59:00 Tool use: python interpreter, messiness of the ecosystem
01:04:35 ChatGPT Advanced Data Analysis, figures, plots
01:09:00 Claude Artifacts, apps, diagrams
01:14:02 Cursor: Composer, writing code
01:22:28 Audio Speech Input/Output
01:27:37 Advanced Voice Mode aka true audio inside the model
01:37:09 NotebookLM, podcast generation
01:40:20 Image input, OCR
01:47:02 Image output, DALL-E, Ideogram, etc.
01:49:14 Video input, point and talk on app
01:52:23 Video output, Sora, Veo 2, etc etc.
01:53:29 ChatGPT memory, custom instructions
01:58:38 Custom GPTs
02:06:30 Summary
Taught by
Andrej Karpathy
Reviews
5.0 rating, based on 2 Class Central reviews
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This course provides a practical and easy-to-understand introduction to Large Language Models (LLMs). Andrej Karpathy explains complex AI concepts in a clear and engaging way, making them accessible even for beginners. I learned how LLMs work, how to interact with them effectively, and how they can be applied to real-world tasks. The examples and demonstrations were very helpful and made the learning experience enjoyable. The course is well-structured, informative, and relevant for students interested in Artificial Intelligence, Machine Learning, and Generative AI. I highly recommend this course to anyone who wants to understand and start using Large Language Models effectively.
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Great and awesome content that describe the foundation of how to use this llm overally and something of under the hood. Loved to watch the content. watching this video make the concept of gpt and llm becomes very easy. Thank you for making this content.