Educational Videos for Designing Solutions Using Pre-trained Models

Overview

As part of a discussion in the State of AI Development , we had lot of interested on understanding how to design solution in the world of Generative AI. This is a list of things we would cover

1.Models ( Close , Flexible , Open core , open source , difference between pathway , GPT etc)

2.Prompts ( Prompt Chaining , Tuning , Testing)

3.Tokenization and how it works

4.Embeddings: ( Classification , summarization , generation etc)

5.Vector DB’s

6.Semantics vs Syntax and designing kernel spaces for it

7.Responsible ML

Topic	Video	Slides	Notebook	Author
Models				@mray2020
Prompts				@achueshev/ @bcardoso-
Tokenization				@mray2020 / @HongtaoYang
Embeddings	Video	Slides	Notebook	@HongtaoYang
Vectors DB's				@AndrasHerczeg
Semantics				@HongtaoYang
Responsible ML