LangTalks

45 - AI PM: Spec for copilot feature 19.04.2025 29:55 ↓

Example of product specification required from an AI PM for a new feature

44 - MCP intro 31.03.2025 19:57 ↓

all you need to know about MCP and how to get started as a developer

43 - Building with GenAI-powered tools | Idan Benaun 01.03.2025 33:05 ↓

this episode has 2 aspects - best practices to start a new product in 2025 and what tools can accelerate your process

42 - Text to SQL 26.01.2025 23:45 ↓

how to build a text to sql agent

41 - GraphRAG 28.12.2024 15:36 ↓

Deep dive on why GraphRAG approach was created and how it works

40 - Advanced RAG | Nir Diamant 24.11.2024 27:20 ↓

advanced RAG techniques like RAPTOR and using Clues

39 - Code generation agents | Ziv Bakhajian 19.10.2024 25:13 ↓

Cursor, RepoAgent, Aider, and some more coding agents - overview and interesting architectural concepts

38 - OpenAI Realtime API 02.10.2024 18:57 ↓

Technical review of the new Realtime API introduced on the dev day

37 - Upgrading LLM | Dolev Pomeranz (Gong) 16.09.2024 31:33 ↓

How to migrate the llm provider in your AI app safely

36 - MVP with open-source LLM | Yael Daihes (Anecdotes) 02.09.2024 28:22 ↓

If you need to build an llm-app that uses an open-source llm, this episode is for you. Intermediate level

35 - LLM app dev guide | Almog Baku 19.08.2024 28:04 ↓

end to end guide on how to get started and deploy to production your llm app

34 - Legal documents | Yaron Vazana (Darrow) 04.08.2024 26:25 ↓

Build LLM-app with legal documents that have many references and domain verbiage

33 - LangGraph | Eden Marco 13.07.2024 27:09 ↓

Getting started with LangGraph, the most popular multi agent framework

32 - AI PM: No-code Tools | Galit Galperin 29.06.2024 28:44 ↓

Utilize no-code tools for fast POCs

31- Multi agents | Assaf Elovic ("GPT Researcher") 15.06.2024 27:31 ↓

Review of why and how to build a multi-agent system. Assaf is Head of R&D @ Wix and GPT-researcher open source creator.

30 - Open Source Security | Avi Lumelsky (Oligo) 08.06.2024 27:52 ↓

everything about adopting open source code and models for your llm app

29 - AI PM: trust & evaluation | Shira Weinberg Harel 02.06.2024 28:12 ↓

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

28 - Advanced agents 25.05.2024 29:34 ↓

examples and practices of advanced agents, and use of LangGraph for effective tool usage by agents

27 - Latency optimization | Dor Ringel 30.04.2024 27:26 ↓

how to solve latency issues with minimal compromise on quality and cost

26 - 12 RAG Pain Points and Proposed Solutions 07.04.2024 30:40 ↓

The 12 most common challenges around building an effective RAG pipeline and the best practices for solutions

25 - Reranking 25.03.2024 24:53 ↓

exploring the reranker component in the 2 stage retrieval system

24 - MVP best practices 02.03.2024 28:40 ↓

how to define effective requirements for llm apps, and first steps after going to production

23 - LLM theory | Mike Erlihson 18.02.2024 33:16 ↓

What are transformers, why it is so expensive to train a Transformer-based model and what is the architecture of the future LLMs

22 - LangChain v0.1 27.01.2024 24:19 ↓

LCEL, LangGraph, LangSmith

21 - Knowledge Graph | Jesús Barrasa (Neo4j, ENG) 14.01.2024 35:59 ↓

Indexing knowledgebases with KG for RAG applications