Advanced Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs)
Advanced Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs)
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 14h 1m | 2.51 GB
Instructor: Sinan Ozdemir
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 14h 1m | 2.51 GB
Instructor: Sinan Ozdemir
Looking to learn more about the many potential use cases of large language models (LLMs)? This course is a quick-start guide designed to help you learn how to use and launch ChatGPT, T5, and BERT at scale. With real-world case studies to illustrate the concepts, instructor Sinan Ozdemir outlines a step-by-step approach to building and deploying LLMs with ease. From creating a recommendation engine and launching an information retrieval system to building an image captioning system and beyond, this course provides clear instructions and best practices for anyone interested in using LLMs to generate insights that otherwise would be difficult to obtain.
Learning objectives
- Launch an application using proprietary models with OpenAI embeddings and GPT-3.
- Fine-tune GPT-3 with custom examples using its API to get better results.
- Learn the basics of prompt engineering by building and customizing a chatbot.
- Deploy custom LLMs to the cloud.
Advanced Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs)
