#agenticmodels search results

Autonomous learning agents need careful design and tooling to achieve useful levels of interaction in the real world. This lecture connects autonomous systems to recent ideas around #agenticmodels. These are key to learning from real-world interactions (#reinforcementlearning).

GlenBerseth's tweet image. Autonomous learning agents need careful design and tooling to achieve useful levels of interaction in the real world. This lecture connects autonomous systems to recent ideas around #agenticmodels. These are key to learning from real-world interactions  (#reinforcementlearning).

Some popular agentic models include Cursor, Claude, Windsurf, Kilo Code, and Gemini. While some are paid, others are free - I'll break it down in my next thread! Stay tuned! 💻 #VibeCoding #AgenticModels"


Some popular agentic models include Cursor, Claude, Windsurf, Kilo Code, and Gemini. While some are paid, others are free - I'll break it down in my next thread! Stay tuned! 💻 #VibeCoding #AgenticModels"


Open-weight models in live arenas = real-time insight on where agentic coding performance is heading. Kimi K2’s 1T/32B MoE architecture will be fascinating to watch under crowd benchmarks. #OpenSourceAI #AgenticModels #Mialo


Autonomous learning agents need careful design and tooling to achieve useful levels of interaction in the real world. This lecture connects autonomous systems to recent ideas around #agenticmodels. These are key to learning from real-world interactions (#reinforcementlearning).

GlenBerseth's tweet image. Autonomous learning agents need careful design and tooling to achieve useful levels of interaction in the real world. This lecture connects autonomous systems to recent ideas around #agenticmodels. These are key to learning from real-world interactions  (#reinforcementlearning).

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Autonomous learning agents need careful design and tooling to achieve useful levels of interaction in the real world. This lecture connects autonomous systems to recent ideas around #agenticmodels. These are key to learning from real-world interactions (#reinforcementlearning).

GlenBerseth's tweet image. Autonomous learning agents need careful design and tooling to achieve useful levels of interaction in the real world. This lecture connects autonomous systems to recent ideas around #agenticmodels. These are key to learning from real-world interactions  (#reinforcementlearning).

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