Guía de inicio rápido para modelos de lenguaje grandes (LLMs)

Resumen

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.

Programa

• Curso 1: Guía Rápida para Modelos de Lenguaje de Gran Tamaño (LLMs): Unidad 1
• Curso 2: Guía Rápida para Modelos de Lenguaje de Gran Tamaño (LLMs): Unidad 2
• Curso 3: Guía Rápida para Modelos de Lenguaje de Gran Tamaño (LLMs): Unidad 3

---

Impartido por

Pearson

---

Materias

Computer Science