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

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Module 2: Getting the most out of LLMs introduction

Module 2: Getting the most out of LLMs introduction - ChatGPT Tutorial

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

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Module 2: Getting the most out of LLMs introduction

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- Welcome to Module 2, Getting the Most Out of LLMs. As we transition from the foundational concepts introduced in the first module, it's time to dive even deeper exploring the vast potentials and intricacies of large language models. In this module, we will start with optimization. What does it truly mean to make an LLM perform at its best? Through the process of fine tuning, we'll unveil the techniques required to customize these powerful models to cater to our specific needs. Be it research, business, or any other domain, frankly. Diving into the more hands-on, we'll utilize open AI's fine tuning APIs to bridge the gap between our custom data and the capabilities of LLMs. These hands-on segments will promise to be both educational and empowering, allowing you to witness firsthand the transformational capabilities of fine-tuned LLMs. Navigating the financial landscape of AI will address the concern that many organizations grapple with, cost. Can we achieve superior AI performance…

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