New Summarization via In Context Learning with a New Class of Models

Опубликовано: 04 Ноябрь 2024
на канале: Sam Witteveen
10,600
391

In this video I discuss some of the recent changes in building LLM apps and choosing which LLMs to use. I also show how I used some of these changes to build a Note taking app that creates summaries and long form notes

For more tutorials on using LLMs and building Agents, check out my Patreon:
Patreon:   / samwitteveen  
Twitter:   / sam_witteveen  

🕵️ Interested in building LLM Agents? Fill out the form below
Building LLM Agents Form: https://drp.li/dIMes

👨‍💻Github:
https://github.com/samwit/langchain-t... (updated)
https://github.com/samwit/llm-tutorials

⏱️Time Stamps:
00:00 Intro
01:01 Personalization and Curation
01:18 Personalization
02:06 Curation
05:20 The State of LLMs
09:29 Long Output Use Cases
11:20 Claude 3: Haiku
12:10 Why Haiku
13:31 Haiku Challenges
14:23 Metaprompt
14:57 Haiku Exemplars
17:29 Summarizations
17:32 Types of Summarization
18:59 Simple Stuffing
19:21 Map Reduce
20:06 Refining our Calls
20:21 Map ReRank
20:31 New Summarization System
23:28 Sectioning
23:49 Advantages
24:17 Disadvantages
25:01 Conclusion