Highlights of Python 3.15, now available in beta, include lazy imports, faster JITs, better error messages, and smarter ...

Abstract: The function-calling agent is obtained by performing agent tuning to the large language model (LLM) on function-calling dataset. However, even state-of-the-art datasets (e.g., ...

Abstract: Large Language Models (LLMs) have made significant strides in Natural Language Processing and coding, yet they struggle with robustness and accuracy in complex function calls. To tackle ...

Python uses a stack to keep track of function calls. We’ve seen stacks before. They are LIFO (last-in, first-out) data structures. Let’s consider a single function call. Say we have this function: its ...

Function calling lets an LLM act as a bridge between natural-language prompts and real-world code or APIs. Instead of simply generating text, the model decides when to invoke a predefined function, ...

Large Language Models (LLMs) ushered in a technological revolution. We breakdown how the most important models work. byLanguage Models (dot tech)@languagemodels byLanguage Models (dot ...