From the course: Advanced Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs)

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Quick quide to large language models: Summary

Quick quide to large language models: Summary

- Thank you for watching quick guide to ChatGPT embeddings and other large language models, with me, Sinan Ozdemir. Our journey began with an exploration of the history of natural language processing, giving you insights into the inner workings of modern language models and how they're trained to read and write. We then dive deep into the world of LLM applications revealing how semantic search systems efficiently and effectively store and retrieve knowledge using LLM-based embeddings. Harnessing the potential of LLMs, we looked at the nuances of prompt engineering, guiding you to extract consistent and reliable results from aligned LLMs and combining these techniques to create RAG and agentic AIs. We moved on to the exciting realm of fine-tuning, showing you how to optimize LLMS with custom data to achieve enhanced performance to save on AI costs. With the basics under our belt, we've entered into advanced prompt engineering focusing on evaluating and refining LLM outputs through…

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