LangTalks

40 Episodes

Reverse

40 - Advanced RAG | Nir Diamant

2024-11-2427:20

advanced RAG techniques like RAPTOR and using Clues

39 - Code generation agents | Ziv Bakhajian

2024-10-1925:13

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

38 - OpenAI Realtime API

2024-10-0218:57

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

37 - Upgrading LLM | Dolev Pomeranz (Gong)

2024-09-1631:33

How to migrate the llm provider in your AI app safely

36 - MVP with open-source LLM | Yael Daihes (Anecdotes)

2024-09-0228:22

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

2024-08-1928:04

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

34 - Legal documents | Yaron Vazana (Darrow)

2024-08-0426:25

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

33 - LangGraph | Eden Marco

2024-07-1327:091

Getting started with LangGraph, the most popular multi agent framework

32 - AI PM: No-code Tools | Galit Galperin

2024-06-2928:44

Utilize no-code tools for fast POCs

31- Multi agents | Assaf Elovic ("GPT Researcher")

2024-06-1527:31

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)

2024-06-0827:52

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

29 - AI PM: trust & evaluation | Shira Weinberg Harel

2024-06-0228:12

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

2024-05-2529:34

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

27 - Latency optimization | Dor Ringel

2024-04-3027:26

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

26 - 12 RAG Pain Points and Proposed Solutions

2024-04-0730:40

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

25 - Reranking

2024-03-2524:53

exploring the reranker component in the 2 stage retrieval system

24 - MVP best practices

2024-03-0228:40

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

23 - LLM theory | Mike Erlihson

2024-02-1833:16

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

2024-01-2724:19

LCEL, LangGraph, LangSmith

21 - Knowledge Graph | Jesús Barrasa (Neo4j, ENG)

2024-01-1435:59

Indexing knowledgebases with KG for RAG applications

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