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פודקסט טכני בעברית על בניית סוכנים ואפליקציות עם מודלי שפה.
הצטרפו לקהילת הווטסאפ שלנו לדיונים ושאלות:
https://chat.whatsapp.com/JKVFSNFMVQu8G1KWx1jqap
ניוזלטר עם סיכום דו-שבועי של כל הנושאים הכי חמים:
www.langtalks.ai
הצטרפו לקהילת הווטסאפ שלנו לדיונים ושאלות:
https://chat.whatsapp.com/JKVFSNFMVQu8G1KWx1jqap
ניוזלטר עם סיכום דו-שבועי של כל הנושאים הכי חמים:
www.langtalks.ai
54 Episodes
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Enabling secured flexibility to your agents and MCP servers
techniques to combine classic search with agentic retrieval
The story of building Suna - the open source alternative of Manus the generalist autonomous agent
https://github.com/kortix-ai/suna
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
Is this Agent2Agent new protocol by Google going to be the next MCP?
How to handle long docs like PDF and Docx effectively with LLMs
Tips for AI-driven coding
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
Building SWE multi-agent with LangGraph: Zero to Hero | Lee & Gal (LangTalks GenAI 2025 Conference)
Lecture video:
https://www.youtube.com/watch?v=KroPK5DygWw
Repo:
https://github.com/langtalks/swe-agent
Example of product specification required from an AI PM for a new feature
all you need to know about MCP and how to get started as a developer
this episode has 2 aspects - best practices to start a new product in 2025 and what tools can accelerate your process
how to build a text to sql agent
Deep dive on why GraphRAG approach was created and how it works
advanced RAG techniques like RAPTOR and using Clues
Cursor, RepoAgent, Aider, and some more coding agents - overview and interesting architectural concepts
Technical review of the new Realtime API introduced on the dev day
How to migrate the llm provider in your AI app safely
If you need to build an llm-app that uses an open-source llm, this episode is for you. Intermediate level
end to end guide on how to get started and deploy to production your llm app
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