Abstract: Source code summarization is the task of writing natural language descriptions of source code. The primary use of these descriptions is in documentation for programmers. Automatic generation ...

Abstract: The advanced function-calling capabilities of foundation models open up new possibilities for deploying agents to perform complex API tasks. However, managing large amounts of data and ...

Witness the powerful bite and strike of a python in an intense face-off with one of nature’s deadliest predators. Trump Makes Announcement Against Taliban ‘Brace yourselves’: Government shutdown ...

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 ...

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 ...

President Trump issued an executive order Monday restricting federal funding for research that involves a controversial field of scientific study known as "gain-of-function" research. The research, ...

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, ...

Wrangling your data into LLMs just got easier, though it's not all sunshine and rainbows Hands On Getting large language models to actually do something useful usually means wiring them up to external ...