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Showing episodes and shows of
Lee Twito
Shows
LangTalks
51 - Our AI-driven coding workflow | Oren Melamed
Sharing our workflow with Cursor, Claude Code, GitHub Copilot and others. Listed the useful MCPs and tools, how to measure efficiency gains, and our vision for the future of coding
2025-07-20
30 min
LangTalks
50 - A2A protocol
Is this Agent2Agent new protocol by Google going to be the next MCP?
2025-07-13
20 min
LangTalks
49 - Documents analysis
How to handle long docs like PDF and Docx effectively with LLMs
2025-06-28
23 min
LangTalks
48 - Vibe coding | Sahar Carmel
Tips for AI-driven coding
2025-06-07
30 min
LangTalks
47 - Tech stack for Agents
Python or JS? LangChain or Vanilla? In this episode we gave guidelines on important things to notice when picking a tech stack for new project or a company's platform
2025-05-24
31 min
LangTalks
46 - Building coding multi-agent (LangTalks '25 conf)
Building SWE multi-agent with LangGraph: Zero to Hero | Lee & Gal (LangTalks GenAI 2025 Conference)
2025-05-03
37 min
LangTalks
45 - AI PM: Spec for copilot feature
Example of product specification required from an AI PM for a new feature
2025-04-19
29 min
LangTalks
44 - MCP intro
all you need to know about MCP and how to get started as a developer
2025-03-31
19 min
LangTalks
43 - Building with GenAI-powered tools | Idan Benaun
this episode has 2 aspects - best practices to start a new product in 2025 and what tools can accelerate your process
2025-03-01
33 min
LangTalks
42 - Text to SQL
how to build a text to sql agent
2025-01-26
23 min
LangTalks
41 - GraphRAG
Deep dive on why GraphRAG approach was created and how it works
2024-12-28
15 min
LangTalks
40 - Advanced RAG | Nir Diamant
advanced RAG techniques like RAPTOR and using Clues
2024-11-24
27 min
LangTalks
39 - Code generation agents | Ziv Bakhajian
Cursor, RepoAgent, Aider, and some more coding agents - overview and interesting architectural concepts
2024-10-19
25 min
LangTalks
38 - OpenAI Realtime API
Technical review of the new Realtime API introduced on the dev day
2024-10-02
18 min
LangTalks
37 - Upgrading LLM | Dolev Pomeranz (Gong)
How to migrate the llm provider in your AI app safely
2024-09-17
31 min
LangTalks
36 - MVP with open-source LLM | Yael Daihes (Anecdotes)
If you need to build an llm-app that uses an open-source llm, this episode is for you. Intermediate level
2024-09-02
28 min
LangTalks
35 - LLM app dev guide | Almog Baku
end to end guide on how to get started and deploy to production your llm app
2024-08-19
28 min
LangTalks
34 - Legal documents | Yaron Vazana (Darrow)
Build LLM-app with legal documents that have many references and domain verbiage
2024-08-04
26 min
LangTalks
33 - LangGraph | Eden Marco
Getting started with LangGraph, the most popular multi agent framework
2024-07-13
27 min
LangTalks
32 - AI PM: No-code Tools | Galit Galperin
Utilize no-code tools for fast POCs
2024-06-29
28 min
LangTalks
31- Multi agents | Assaf Elovic ("GPT Researcher")
Review of why and how to build a multi-agent system. Assaf is Head of R&D @ Wix and GPT-researcher open source creator.
2024-06-16
27 min
LangTalks
30 - Open Source Security | Avi Lumelsky (Oligo)
everything about adopting open source code and models for your llm app
2024-06-09
27 min
LangTalks
29 - AI PM: trust & evaluation | Shira Weinberg Harel
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
2024-06-02
28 min
LangTalks
28 - Advanced agents
examples and practices of advanced agents, and use of LangGraph for effective tool usage by agents
2024-05-25
29 min
LangTalks
27 - Real Time | Dor Ringel
how to solve latency issues with minimal compromise on quality and cost
2024-04-30
27 min
מוצרלה | Mozzarella- A Product Management Podcast
253 - Mozzarella.ai #5 - Tech Secrets Behind GenAI Products (Feat. Lee Twito @ Lemonade)
בפרק נוסף בסדרה, יוני אירח את לי טוויטו Gen AI Lead @ Lemonade לפצח ביחד את השאלה מה צריך להבין בצד הטכני של פיתוח מוצרי genAI? דיברנו על - - איך לייצר שפה משותפת חדשה עם צוותי הפיתוח והData Scientists? - מהן המטריקות הטכניות והשיקולים הפיתוחיים שמשפיעים על ההצלחה העסקית של המוצר? - איך מתקשרים את העלויות והזמנים לסטייקהולדרס כדי ליישר קו באופן שוטף? - ואיזה מוצר הוא היה יוצר אם הייתה לו שרביט קסמים? ----------- לינק לפודקאסט LangTalks של לי - https://spotify.link/8Orw8NIsOIb
2024-04-16
25 min
LangTalks
26 - 12 RAG Pain Points and Proposed Solutions
The 12 most common challenges around building an effective RAG pipeline and the best practices for solutions
2024-04-07
30 min
LangTalks
25 - Reranking
exploring the reranker component in the 2 stage retrieval system
2024-03-25
24 min
LangTalks
24 - MVP best practices
how to define effective requirements for llm apps, and first steps after going to production
2024-03-02
28 min
LangTalks
23 - LLM theory | Mike Erlihson
What are transformers, why it is so expensive to train a Transformer-based model and what is the architecture of the future LLMs
2024-02-18
33 min
LangTalks
22 - LangChain v0.1
LCEL, LangGraph, LangSmith
2024-01-28
24 min
LangTalks
21 - Knowledge Graph | Jesús Barrasa (Neo4j, ENG)
Indexing knowledgebases with KG for RAG applications
2024-01-14
35 min
LangTalks
20 - RAG Evaluation | Jonathan Yarkoni
ragas framework for evaluating unstructured retrievals and generations
2023-12-25
25 min
LangTalks
19 - RAG
Retrieval Augmented Generation process, Llama index vs LangChain, indexing
2023-12-11
26 min
LangTalks
18 - OpenAI Dev Day
OpenAI DevDay announcements recap
2023-11-20
28 min
LangTalks
17 - Evaluation | Philip Tannor (DeepChecks)
Evaluating LLMs and AI pipeline in dev and production environments. How to work with datasets
2023-11-13
29 min
LangTalks
16 - Multi modal
multimodality is a type of model that can analyze multiple data types like language, images, voice, etc.
2023-10-23
25 min
LangTalks
15 - Initiatives and volunteers matching
Find the most suitable project for volunteer support "Iron swords" war efforts
2023-10-18
17 min
LangTalks
14 - Prompt engineering
Advanced prompt engineering techniques: skeleton of thoughts, directional stimulus prompting, graph of thoughts, augmentations
2023-10-02
27 min
LangTalks
13 - Production environment | Idan Tovi (Vee)
Full stack LLM app development, Typescript vs Python
2023-09-26
24 min
LangTalks
12 - Fine-tuning | Mike Erlihson
Finetuning techniques (SFT, RLHF...), pros & cons, tools (technical episode)
2023-09-18
27 min
LangTalks
11 - Open source models | Matan Kleyman
why should you care about open source models, when and how to finetune, inference best practices, deployment & serving tools, models overview
2023-09-11
33 min
LangTalks
10 - Summarizing mental health sessions | Amit Spinrad (Eleos Health)
Drill down on a summarization task use case
2023-09-04
29 min
LangTalks
9 - Popular tools for LLM-app devs
Save time building applications with LLMs by utilizing tools like LangChain, Llama index, Guidance, GPTCache and many more
2023-08-28
30 min
LangTalks
8 - Vector Databases | Uri Goren (Argmax)
Why you might need a VectorDB, which features to consider when choosing a provider, and use cases examples
2023-08-21
30 min
LangTalks
7 - Agents in LangChain | Eden Marco
From an agent POC with LangChain to production challenges
2023-08-14
28 min
LangTalks
6 - Security and Privacy | Itamar Golan (Prompt Security)
Security, privacy, compliance & safety of LLM-based applications
2023-08-08
36 min
LangTalks
5 - How to use Embeddings
Explore the theory of embeddings and their practical applications
2023-08-01
21 min
LangTalks
4 - Intro to LangChain
Overviewing the main concepts of LangChain framework and how to get started
2023-07-25
25 min
LangTalks
3 - Intro to Agents
Theory and benchmarks for zero shot, few shot, chain of thoughts, and tree of thoughts
2023-07-20
30 min
LangTalks
2 - How LLMs are developed
The evolution of Language Models and OpenAI's training techniques.
2023-07-19
18 min
LangTalks
1 - Intro to LangTalks
Introduction about Lee & Gal and what LangTalks is about
2023-07-18
01 min