#149 - Building Smart Apps with LLMs

In this episode, we discuss LLMs, how everything started, how they work, and how to use frameworks such as LangChain to develop intelligent applications with them.
Guests
Taha Bouhsine
Sifeddine Nahhas
Nouamane Tazi

Notes
0:00:00 - Introduction and welcoming
0:05:33 - History of LLMs
0:12:00 - The role of transformers in LLMs
0:21:00 - How LLMs differ from other AI methods
0:26:00 - Emergent Abilities of Large Language Models
0:42:00 - HaggingFace and the role or open-source in LLMs
0:47:00 - Open source LLMs.
1:04:00 - Using LLMs to build smart apps.
1:39:00 - Advices for software engineers with no AI background to start with LLMs.
1:46:00 - Conclusion and goodbye.

Links

The Illustrated Transformer

Transformers

The Annotated Transformer

State of GPT

Sparks of AGI

MiniGPT-4

H2O LLM Studio

HuggingFace

GPT4All

llama

LangChain

Embracing AI-Powered Applications: A Developer’s Journey with LangChain

OpenAI cookbook

Jailbreak Chat

MathsMaroc

Prompt Engineering

Emergent Abilities of Large Language Models



Prepared and Presented by

Youssouf EL Azizi