Quick Start Guide to Large Language Models (LLMs)

932 students enrolled
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.
CERTIFICATEKatılım Sertifikası
FORMAT100% Online
DURATION1 ay

What you'll learn

  • Deep Learning
  • Large Language Modeling
  • Natural Language Processing
  • Retrieval-Augmented Generation
  • Prompt Engineering
  • ChatGPT
  • Generative AI Agents
  • Generative Model Architectures
  • LLM Application
  • Generative AI
  • Model Optimization
  • Fine-tuning

Course Content

3 topics
  1. Kurs 1 Quick Start Guide to Large Language Models (LLMs): Unit 1
  2. Kurs 2 Quick Start Guide to Large Language Models (LLMs): Unit 2
  3. Kurs 3 Quick Start Guide to Large Language Models (LLMs): Unit 3

Details

  • ProviderPearson
  • TypeCourse
  • CategoryData Science & AI
  • LevelIntermediate
  • Duration1 ay
  • LanguageEnglish

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