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
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
Prepared and Presented by
