Episodes
multimodality is a type of model that can analyze multiple data types like language, images, voice, etc.
Published 10/23/23
Find the most suitable project for volunteer support "Iron swords" war efforts
Published 10/18/23
Advanced prompt engineering techniques: skeleton of thoughts, directional stimulus prompting, graph of thoughts, augmentations
Published 10/02/23
Full stack LLM app development, Typescript vs Python
Published 09/26/23
Finetuning techniques (SFT, RLHF...), pros & cons, tools (technical episode)
Published 09/18/23
why should you care about open source models, when and how to finetune, inference best practices, deployment & serving tools, models overview
Published 09/11/23
Drill down on a summarization task use case
Published 09/04/23
Save time building applications with LLMs by utilizing tools like LangChain, Llama index, Guidance, GPTCache and many more
Published 08/28/23
Why you might need a VectorDB, which features to consider when choosing a provider, and use cases examples
Published 08/21/23
From an agent POC with LangChain to production challenges
Published 08/14/23
Security, privacy, compliance & safety of LLM-based applications
Published 08/07/23
Explore the theory of embeddings and their practical applications
Published 08/01/23
Overviewing the main concepts of LangChain framework and how to get started
Published 07/25/23
Theory and benchmarks for zero shot, few shot, chain of thoughts, and tree of thoughts
Published 07/20/23
The evolution of Language Models and OpenAI's training techniques.
Published 07/19/23
Introduction about Lee & Gal and what LangTalks is about
Published 07/18/23