From the course: Generative AI and LLMOps: Building Blocks and Applications
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Overview of LLM architectures
From the course: Generative AI and LLMOps: Building Blocks and Applications
Overview of LLM architectures
- [Instructor] Welcome to a thrilling exploration of building applications with large language models or LLMs. Unlike traditional software development where we turn code into binary to execute commands, working with LLM involves navigating data sets, embeddings, and parameter reads. The outputs are probabilistic, adding a layer of complexity and excitement to our task. This is our first look into chapter two, Introduction to LLMs and Their Applications. Our journey begins with a critical step, pinpointing a single problem to solve. It's like finding a needle in a haystack, but the right one can sew the fabric of innovation. We start small to iterate rapidly, yet the problem must be substantial enough to make users' jaw drop. Imagine zeroing in on a coding hiccup with the vast development lifecycle, much like the GitHub Copilot team once did. Next up, selecting the right LLM is picking a trustee sidekick. Costs are cut by using a pre-trained model, but the decision is nuanced. We…
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