Large Language Models (LLMs) are transforming how we interact with technology, enabling tasks like generating creative content, summarizing text, and answering questions. However, they have ...

To ensure a transparent, independent, and merit-based grant selection process, the project seeks to engage four (4) external evaluators to assess grant applications submitted under the project’s open ...

Abstract: Large Language Models (LLMs) are increasingly used for function calling, typically by prompting the model to generate a specific format. This paper proposes an alternative approach ...

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., ...

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 ...

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, ...

The integration of Large Language Models (LLMs) with external tools, applications, and data sources is increasingly vital. Two significant methods for achieving seamless interaction between models and ...

Functional programming, as the name implies, is about functions. While functions are part of just about every programming paradigm, including JavaScript, a functional programmer has unique ...

You've learned a fair bit so far in the previous lessons. However, we can improve further. Some things we can address are how we can get a more consistent response format to make it easier to work ...