

Building LLM Apps & the Challenges that come with it. The What's AI Podcast Episode 16: Jay Alammar
7 snips Jun 27, 2023
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22
Introduction
00:00 • 4min
How I Discovered Machine Learning
03:44 • 4min
How to Write What You Learn
07:38 • 5min
How to Share Misinformation Effectively
13:05 • 2min
How to Explain Transformers and Attention
14:40 • 3min
How to Explain Text Generation Models to Different Audiences
17:16 • 4min
The Two Major Components of a Transformer Block
21:03 • 3min
How to Explain a New Technology
23:52 • 2min
How to Train a Language Model
25:38 • 4min
Preference Training in Machine Learning
29:31 • 3min
The Importance of Embeddings in Chat GPT Models
32:57 • 6min
How to Power Your Search With LLMs
38:40 • 3min
How to Use Large Language Models to Improve Your Product
41:37 • 3min
The Future of AI
45:03 • 2min
The Challenges of Building a Cohere or Open AI-Based App
47:09 • 4min
The Future of Software Development
50:52 • 3min
AI and the Discrimination Between Rich and Poor
53:22 • 3min
How to Improve Hallucination in Chat GPT
56:11 • 3min
How to Train a Multilingual Model
58:51 • 3min
AI and Large English Models Evolve Over the Next Five Years
01:01:29 • 4min
How AI Can Help Us Understand Other Things
01:05:32 • 3min
How to Improve Your Grammar and Syntax
01:08:40 • 4min