Cursor, RepoAgent, Aider, and some more coding agents - overview and interesting architectural concepts
Technical review of the new Realtime API introduced on the dev day
How to migrate the llm provider in your AI app safely
If you need to build an llm-app that uses an open-source llm, this episode is for you. Intermediate level
end to end guide on how to get started and deploy to production your llm app
Build LLM-app with legal documents that have many references and domain verbiage
Getting started with LangGraph, the most popular multi agent framework
Review of why and how to build a multi-agent system. Assaf is Head of R&D @ Wix and GPT-researcher open source creator.
everything about adopting open source code and models for your llm app
build trust with users and stakeholders - transparency and explainability, reliability and consistency (how to fail safely), automation vs user control. how to evaluate with uncertainty, prompt engineering, effective bug reports
examples and practices of advanced agents, and use of LangGraph for effective tool usage by agents
how to solve latency issues with minimal compromise on quality and cost
The 12 most common challenges around building an effective RAG pipeline and the best practices for solutions
how to define effective requirements for llm apps, and first steps after going to production
What are transformers, why it is so expensive to train a Transformer-based model and what is the architecture of the future LLMs
Indexing knowledgebases with KG for RAG applications