Function calling with Large Language Models (LLMs) is a technique that enhances the capabilities of AI systems by allowing them to interact with external functions or tools. This approach enables LLMs to recognise when specific functions are needed to complete a task and to generate appropriate inputs for those functions.

Prompting in AI involves crafting inputs that shape model responses, significantly influencing output quality. Direct prompts provide straightforward questions for specific answers, while few-shot prompting offers examples to guide tone and style.  Zero-shot prompting relies solely on the model's knowledge without prior examples. Chain-of-thought prompting encourages step-by-step reasoning

Artificial Intelligence (AI) has significantly advanced in many areas, including audio. It is transforming our interaction with and processing of sound, impacting everything from voice assistants to music production. This overview highlights the exciting developments in AI for audio, particularly focusing on Whisper, a cutting-edge Automatic Speech Recognition (ASR) model

What is Function Calling? Function Calling is a powerful feature in large language models (LLMs) that enables them to interact with external tools, APIs, and databases. This capability allows LLMs to extend their problem-solving abilities beyond their training data, accessing real-time information and performing complex operations. At its core, Function