Shows
LangTalks64 - AI coding metrics | Liad Elidan (Milestone)Measure the actual impact of adopting AI across the R&D
2026-03-0828 min
2026-02-2328 min
LangTalks62 - AI R&D Rollout | Iko Azoulay (Salt Security)How AI is used across the SDLC in a real R&D org - requirements, tech design, validation, testing, and code review. What worked, what didn’t, and where teams get stuck.
2026-02-0730 min
LangTalks61 - Voice Agents | Shay Davidson (Lemonade)Building and testing voice agents with realtime API or chained approach (TTS->LLM->STT)
2026-01-2429 min
2026-01-1127 min
LangTalks59 - SLMs | Dr Elad Granot (Trullion)the production experience and considerations for fine-tuning a small language model for narrow tasks
2025-12-2833 min
LangTalks58 - AWS re:Invent 2026 predictions | Shuki Cohen (AI21)Recap of the major announcements and innovations from the 2025 re:Invent conference, along with our predictions for where things are heading in 2026
2025-12-0727 min
2025-11-1628 min
LangTalks56 - n8n | Shay ShitritGetting started with no-code agentic automations, popular use cases and tips
2025-10-2523 min
LangTalks55 - Context EngineeringThe state of best practices for context engineering, focused on AI-coding as a leading use case
2025-10-1129 min
LangTalks54 - Permissions | Or Weis (Permit.io)Enabling secured flexibility to your agents and MCP servers
2025-09-1323 min
LangTalks53 - Search & Retrieval | Guy Itach (Fiverr)techniques to combine classic search with agentic retrieval
2025-08-2428 min
LangTalks52 - Agents at scale | Adam Cohen HillelThe story of building Suna - the open source alternative of Manus the generalist autonomous agent
https://github.com/kortix-ai/suna
2025-08-0328 min
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 coding
2025-07-2030 min
2025-07-1320 min
2025-06-2823 min
2025-06-0730 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 platform
2025-05-2431 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 feature
2025-04-1929 min
2025-03-3119 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 process
2025-03-0133 min
2025-01-2623 min
2024-12-2815 min
2024-11-2427 min
LangTalks39 - Code generation agents | Ziv BakhajianCursor, RepoAgent, Aider, and some more coding agents - overview and interesting architectural concepts
2024-10-1925 min
2024-10-0218 min
LangTalks37 - Upgrading LLM | Dolev Pomeranz (Gong)How to migrate the llm provider in your AI app safely
2024-09-1731 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 level
2024-09-0228 min
LangTalks35 - LLM app dev guide | Almog Bakuend to end guide on how to get started and deploy to production your llm app
2024-08-1928 min
LangTalks34 - Legal documents | Yaron Vazana (Darrow)Build LLM-app with legal documents that have many references and domain verbiage
2024-08-0426 min
LangTalks33 - LangGraph | Eden MarcoGetting started with LangGraph, the most popular multi agent framework
2024-07-1327 min
2024-06-2928 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 app
2024-06-0927 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 reports
2024-06-0228 min
LangTalks28 - Advanced agentsexamples and practices of advanced agents, and use of LangGraph for effective tool usage by agents
2024-05-2529 min
LangTalks27 - Real Time | Dor Ringelhow to solve latency issues with minimal compromise on quality and cost
2024-04-3027 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?
-----------
לינק לפודקאסט LangTalks של לי - https://spotify.link/8Orw8NIsOIb
2024-04-1625 min
LangTalks26 - 12 RAG Pain Points and Proposed SolutionsThe 12 most common challenges around building an effective RAG pipeline and the best practices for solutions
2024-04-0730 min
2024-03-2524 min
LangTalks24 - MVP best practiceshow to define effective requirements for llm apps, and first steps after going to production
2024-03-0228 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 LLMs
2024-02-1833 min
2024-01-2824 min
LangTalks21 - Knowledge Graph | Jesús Barrasa (Neo4j, ENG)Indexing knowledgebases with KG for RAG applications
2024-01-1435 min
LangTalks20 - RAG Evaluation | Jonathan Yarkoniragas framework for evaluating unstructured retrievals and generations
2023-12-2525 min
2023-12-1126 min
2023-11-2028 min
LangTalks17 - Evaluation | Philip Tannor (DeepChecks)Evaluating LLMs and AI pipeline in dev and production environments. How to work with datasets
2023-11-1329 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 efforts
2023-10-1817 min
LangTalks14 - Prompt engineeringAdvanced prompt engineering techniques: skeleton of thoughts, directional stimulus prompting, graph of thoughts, augmentations
2023-10-0227 min
LangTalks13 - Production environment | Idan Tovi (Vee)Full stack LLM app development, Typescript vs Python
2023-09-2624 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 overview
2023-09-1133 min
LangTalks10 - Summarizing mental health sessions | Amit Spinrad (Eleos Health)Drill down on a summarization task use case
2023-09-0429 min
LangTalks9 - Popular tools for LLM-app devsSave time building applications with LLMs by utilizing tools like LangChain, Llama index, Guidance, GPTCache and many more
2023-08-2830 min
LangTalks8 - Vector Databases | Uri Goren (Argmax)Why you might need a VectorDB, which features to consider when choosing a provider, and use cases examples
2023-08-2130 min
LangTalks7 - Agents in LangChain | Eden MarcoFrom an agent POC with LangChain to production challenges
2023-08-1428 min
LangTalks6 - Security and Privacy | Itamar Golan (Prompt Security)Security, privacy, compliance & safety of LLM-based applications
2023-08-0836 min
2023-08-0121 min
LangTalks4 - Intro to LangChainOverviewing the main concepts of LangChain framework and how to get started
2023-07-2525 min
LangTalks3 - Intro to AgentsTheory and benchmarks for zero shot, few shot, chain of thoughts, and tree of thoughts
2023-07-2030 min
LangTalks2 - How LLMs are developedThe evolution of Language Models and OpenAI's training techniques.
2023-07-1918 min
2023-07-1801 min