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 ...
President Trump’s repeated claims about having “solved” the India-Pakistan war infuriated Prime Minister Narendra Modi of India. And that was only the beginning. Credit...Eric Lee/The New York Times ...
Functions are the building blocks of Python programs. They let you write reusable code, reduce duplication, and make projects easier to maintain. In this guide, we’ll walk through all the ways you can ...
Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...
Haupt is a health and wellness editor at TIME. Function Health CEO Jonathan Swerdlin Many people have low-level risk factors, such as early signs of heart disease, smoldering inside their body. But ...
The parallel function calling score for some models is N/A, since the models did not perform parallel calls when expected to. This may be an issue with the wording of the prompt, since only 1 out of 8 ...
Function Health, a preventive health and longevity startup, acquired Ezra to integrate Function’s lab testing capabilities with the company’s artificial-intelligence-powered full-body scans, combining ...
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, ...
In this Colab‑ready tutorial, we demonstrate how to integrate Google’s Gemini 2.0 generative AI with an in‑process Model Context Protocol (MCP) server, using FastMCP. Starting with an interactive ...
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