¡TOUCAN ya es público! 🚀 1.5M de datos Agent-Tool reales (MCP) para entrenar Agentes LLM. Modelos ajustados superan a rivales cerrados en BFCL V3 y MCP-Universe. La clave para el #ToolCalling avanzado y #MultiTurn. ¡Impulsa tu IA! youtu.be/utRKdPNQVG4 #TOUCAN #OpenSource

Practical Guide to Multi‑Turn Agentic Reinforcement Learning for LLMs

Researchers outline a recipe for training LLM agents in multi‑turn settings, defining three pillars—environment, reward, policy—and release code in the Meow‑Tea‑Taro GitHub repo. getnews.me/practical-guide-to-multi... #multiturn #llm

Google study shows LLMs abandon correct answers under pressure, threatening multi-turn AI systems Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to...

#Startups #abandon #answers #correct #Google #LLMs […]

[Original post on zephyrnet.com]