LangTalks

Find the most suitable project for volunteer support "Iron swords" war efforts

Advanced prompt engineering techniques: skeleton of thoughts, directional stimulus prompting, graph of thoughts, augmentations

Full stack LLM app development, Typescript vs Python

Finetuning techniques (SFT, RLHF...), pros & cons, tools (technical episode)

why should you care about open source models, when and how to finetune, inference best practices, deployment & serving tools, models overview

Drill down on a summarization task use case

Save time building applications with LLMs by utilizing tools like LangChain, Llama index, Guidance, GPTCache and many more

Why you might need a VectorDB, which features to consider when choosing a provider, and use cases examples

From an agent POC with LangChain to production challenges

Security, privacy, compliance & safety of LLM-based applications