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Jesse Bornstein in Yeager.ai

Explaining LLMs, Fine-tuning, Embeddings, RAG, and other GenAI Concepts — AI for Startups Webinar

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Go to the profile of Jesse Bornstein
Jesse Bornstein in Yeager.ai

Arbitrary Precision with AI Agents and Objects in 🧬🌍GenWorlds

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Go to the profile of Jesse Bornstein
Jesse Bornstein in Yeager.ai

AI Agent Kryptonite - Prompt Saturation and Context Bleeding

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Go to the profile of Jesse Bornstein
Jesse Bornstein in Yeager.ai

🧬🌍GenWorlds Developer Tips🛠️

Developing multi-agent systems with GenWorlds (GitHub) is easy and efficient! Here are some of our…

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Go to the profile of Jesse Bornstein
Jesse Bornstein in Yeager.ai

The Difference Between Microsoft’s AutoGen and Yeager’s 🧬🌍GenWorlds — 2 AI Agent Frameworks

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Go to the profile of Jesse Bornstein
Jesse Bornstein in Yeager.ai

Fine-Tuning or RAG — Why Not Both?

By Yeager.ai and Qdrant

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Go to the profile of Jesse Bornstein
Jesse Bornstein in Yeager.ai

AI Agents are Taking us from Software to Autonomous Software

AI Agents will bring about the true…

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Go to the profile of Jesse Bornstein
Jesse Bornstein in Yeager.ai

Demystifying LLMs for the Business Thinker

Overview of LLMs for the non-technical business leader

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Go to the profile of Jesse Bornstein
Jesse Bornstein in Yeager.ai

Exploring 🧬🌍GenWorlds x 🦜️🔗 LangChain

🧬🌍GenWorlds a multi-agent system powered by🦜️🔗…

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Go to the profile of Jesse Bornstein
Jesse Bornstein in Yeager.ai

Is Your CTO Using a Vector Database?

By Yeager.ai and Qdrant

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About
Yeager.ai
Yeager.ai
Yeager.ai is the lab behind 🧬🌍GenWorlds.com, the event-based communication framework for building multi-agent systems. Using a websocket, 🧬🌍GenWorlds provides a platform for creating interactive environments where AI agents asynchronously interact to execute complex tasks.
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