Quick Start Guide to Large Language Models (LLMs)

Übersicht

This specialization is a quick start guide to help people use and launch LLMs like GPT, Llama, T5, and BERT at scale. It presents a step-by-step approach to building and deploying LLMs, with real-world case studies to illustrate the concepts, and covers topics such as constructing agents, fine-tuning a Llama 3 model with RLHF, building recommendation engines with Siamese BERT architectures, launching an information retrieval system with OpenAI embeddings and GPT-4, and building an image captioning system with the vision transformer and GPT.

This guide provides clear instructions and best practices for using LLMs and will be a valuable resource for anyone looking to use LLMs in their projects.

Lehrplan

• Course 1: Quick Start Guide to Large Language Models (LLMs): Unit 1
• Course 2: Quick Start Guide to Large Language Models (LLMs): Unit 2
• Course 3: Quick Start Guide to Large Language Models (LLMs): Unit 3

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Unterrichtet von

Pearson

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Fachgebiete

Computer Science