tool calling
PulseAugur coverage of tool calling — every cluster mentioning tool calling across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New RL methods enhance LLM training stability and efficiency · 7 sources tracked
Researchers have developed several new methods to improve the stability and efficiency of reinforcement learning (RL) in large language models (LLMs). STARE addresses policy entropy collapse by reweighting token-level a…
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AI terms like Agents and RAG are reshaping careers, demanding new knowledge
This article discusses the growing prevalence of AI terms like AI Agents, Automation, Tool Calling, RAG, and Multi-Agent Systems. It suggests that understanding these concepts is crucial for career preservation in the f…
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Microsoft details its Agent Framework for building AI applications
Microsoft has released the third part of its "Agent Framework – Building Blocks for AI" series on the .NET blog. This installment delves into the creation of AI agents, focusing on essential components for their develop…