Shows
LangTalks51 - Our AI-driven coding workflow | Oren MelamedSharing 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 coding2025-07-2030 min
LangTalks50 - A2A protocolIs this Agent2Agent new protocol by Google going to be the next MCP?2025-07-1320 min
LangTalks49 - Documents analysisHow to handle long docs like PDF and Docx effectively with LLMs2025-06-2823 min
LangTalks48 - Vibe coding | Sahar CarmelTips for AI-driven coding2025-06-0730 min
LangTalks47 - Tech stack for AgentsPython 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 platform2025-05-2431 min
LangTalks46 - Building coding multi-agent (LangTalks '25 conf)Building SWE multi-agent with LangGraph: Zero to Hero | Lee & Gal (LangTalks GenAI 2025 Conference)2025-05-0337 min
LangTalks45 - AI PM: Spec for copilot featureExample of product specification required from an AI PM for a new feature2025-04-1929 min
LangTalks44 - MCP introall you need to know about MCP and how to get started as a developer2025-03-3119 min
LangTalks43 - Building with GenAI-powered tools | Idan Benaunthis episode has 2 aspects - best practices to start a new product in 2025 and what tools can accelerate your process2025-03-0133 min
LangTalks42 - Text to SQLhow to build a text to sql agent2025-01-2623 min
LangTalks41 - GraphRAGDeep dive on why GraphRAG approach was created and how it works2024-12-2815 min
LangTalks40 - Advanced RAG | Nir Diamantadvanced RAG techniques like RAPTOR and using Clues2024-11-2427 min
LangTalks39 - Code generation agents | Ziv BakhajianCursor, RepoAgent, Aider, and some more coding agents - overview and interesting architectural concepts2024-10-1925 min
LangTalks38 - OpenAI Realtime APITechnical review of the new Realtime API introduced on the dev day2024-10-0218 min
LangTalks37 - Upgrading LLM | Dolev Pomeranz (Gong)How to migrate the llm provider in your AI app safely2024-09-1731 min
LangTalks36 - 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 level2024-09-0228 min
LangTalks35 - LLM app dev guide | Almog Bakuend to end guide on how to get started and deploy to production your llm app2024-08-1928 min
LangTalks34 - Legal documents | Yaron Vazana (Darrow)Build LLM-app with legal documents that have many references and domain verbiage2024-08-0426 min
LangTalks33 - LangGraph | Eden MarcoGetting started with LangGraph, the most popular multi agent framework2024-07-1327 min
LangTalks32 - AI PM: No-code Tools | Galit GalperinUtilize no-code tools for fast POCs2024-06-2928 min
LangTalks31- 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.2024-06-1627 min
LangTalks30 - Open Source Security | Avi Lumelsky (Oligo)everything about adopting open source code and models for your llm app2024-06-0927 min
LangTalks29 - AI PM: trust & evaluation | Shira Weinberg Harelbuild 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 reports2024-06-0228 min
LangTalks28 - Advanced agentsexamples and practices of advanced agents, and use of LangGraph for effective tool usage by agents2024-05-2529 min
LangTalks27 - Real Time | Dor Ringelhow to solve latency issues with minimal compromise on quality and cost2024-04-3027 min
מוצרלה | Mozzarella- A Product Management Podcast253 - 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?
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לינק לפודקאסט LangTalks של לי - https://spotify.link/8Orw8NIsOIb2024-04-1625 min
LangTalks26 - 12 RAG Pain Points and Proposed SolutionsThe 12 most common challenges around building an effective RAG pipeline and the best practices for solutions2024-04-0730 min
LangTalks25 - Rerankingexploring the reranker component in the 2 stage retrieval system2024-03-2524 min
LangTalks24 - MVP best practiceshow to define effective requirements for llm apps, and first steps after going to production2024-03-0228 min
LangTalks23 - LLM theory | Mike ErlihsonWhat are transformers, why it is so expensive to train a Transformer-based model and what is the architecture of the future LLMs2024-02-1833 min
LangTalks22 - LangChain v0.1LCEL, LangGraph, LangSmith2024-01-2824 min
LangTalks21 - Knowledge Graph | Jesús Barrasa (Neo4j, ENG)Indexing knowledgebases with KG for RAG applications2024-01-1435 min
LangTalks20 - RAG Evaluation | Jonathan Yarkoniragas framework for evaluating unstructured retrievals and generations2023-12-2525 min
LangTalks19 - RAGRetrieval Augmented Generation process, Llama index vs LangChain, indexing2023-12-1126 min
LangTalks18 - OpenAI Dev DayOpenAI DevDay announcements recap2023-11-2028 min
LangTalks17 - Evaluation | Philip Tannor (DeepChecks)Evaluating LLMs and AI pipeline in dev and production environments. How to work with datasets2023-11-1329 min
LangTalks16 - Multi modalmultimodality is a type of model that can analyze multiple data types like language, images, voice, etc.2023-10-2325 min
LangTalks15 - Initiatives and volunteers matchingFind the most suitable project for volunteer support "Iron swords" war efforts2023-10-1817 min
LangTalks14 - Prompt engineeringAdvanced prompt engineering techniques: skeleton of thoughts, directional stimulus prompting, graph of thoughts, augmentations2023-10-0227 min
LangTalks13 - Production environment | Idan Tovi (Vee)Full stack LLM app development, Typescript vs Python2023-09-2624 min
LangTalks12 - Fine-tuning | Mike ErlihsonFinetuning techniques (SFT, RLHF...), pros & cons, tools (technical episode)2023-09-1827 min
LangTalks11 - Open source models | Matan Kleymanwhy should you care about open source models, when and how to finetune, inference best practices, deployment & serving tools, models overview2023-09-1133 min
LangTalks10 - Summarizing mental health sessions | Amit Spinrad (Eleos Health)Drill down on a summarization task use case2023-09-0429 min
LangTalks9 - Popular tools for LLM-app devsSave time building applications with LLMs by utilizing tools like LangChain, Llama index, Guidance, GPTCache and many more2023-08-2830 min
LangTalks8 - Vector Databases | Uri Goren (Argmax)Why you might need a VectorDB, which features to consider when choosing a provider, and use cases examples2023-08-2130 min
LangTalks7 - Agents in LangChain | Eden MarcoFrom an agent POC with LangChain to production challenges2023-08-1428 min
LangTalks6 - Security and Privacy | Itamar Golan (Prompt Security)Security, privacy, compliance & safety of LLM-based applications2023-08-0836 min
LangTalks5 - How to use EmbeddingsExplore the theory of embeddings and their practical applications2023-08-0121 min
LangTalks4 - Intro to LangChainOverviewing the main concepts of LangChain framework and how to get started2023-07-2525 min
LangTalks3 - Intro to AgentsTheory and benchmarks for zero shot, few shot, chain of thoughts, and tree of thoughts2023-07-2030 min
LangTalks2 - How LLMs are developedThe evolution of Language Models and OpenAI's training techniques.2023-07-1918 min
LangTalks1 - Intro to LangTalksIntroduction about Lee & Gal and what LangTalks is about2023-07-1801 min