Show notes
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.GuestsTaha BouhsineSifeddine NahhasNouamane TaziNotes0:00:00 - Introduction and welcoming0:05:33 - History of LLMs0:12:00 - The role of transformers in LLMs0:21:00 - How LLMs differ from other AI methods0:26:00 - Emergent Abilities of Large Language Models0:42:00 - HaggingFace and the role or open-source in LLMs0:47:00 - 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 ModelsPrepared and Presented by Youssouf EL Azizi

