New Summarization Techniques for LLM Applications - Building a Note-Taking App

Explore recent developments in building LLM applications and selecting appropriate language models in this 28-minute video. Learn about personalization, curation, and the current state of LLMs, with a focus on long output use cases. Discover the capabilities of Claude 3: Haiku, including its challenges and exemplars. Delve into various summarization techniques, from simple stuffing to map-reduce and map-rerank methods. Examine a new summarization system that incorporates sectioning, discussing its advantages and disadvantages. Gain insights into creating a note-taking app that generates summaries and long-form notes using these advanced techniques.

Intro
Personalization and Curation
Personalization
Curation
The State of LLMs
Long Output Use Cases
Claude 3: Haiku
Why Haiku
Haiku Challenges
Metaprompt
Haiku Exemplars
Summarizations
Types of Summarization
Simple Stuffing
Map Reduce
Refining our Calls
Map ReRank
New Summarization System
Sectioning
Advantages
Disadvantages
Conclusion