A Coding Guide to Different Function Calling Methods to Create Real-Time, Tool-Enabled Conversational AI Agents 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, emits a structured JSON call with the function name… →

The WAVLab Team is Releases of VERSA: A Comprehensive and Versatile Evaluation Toolkit for Assessing Speech, Audio, and Music Signals AI models have made remarkable strides in generating speech, music, and other forms of audio content, expanding possibilities across communication, entertainment, and human-computer interaction. The ability to create human-like audio through deep generative models is no… →

Alibaba Qwen Team Just Released Qwen3: The Latest Generation of Large Language Models in Qwen Series, Offering a Comprehensive Suite of Dense and Mixture-of-Experts (MoE) Models Despite the remarkable progress in large language models (LLMs), critical challenges remain. Many models exhibit limitations in nuanced reasoning, multilingual proficiency, and computational efficiency. Often, models are either highly… →

ViSMaP: Unsupervised Summarization of Hour-Long Videos Using Meta-Prompting and Short-Form Datasets Video captioning models are typically trained on datasets consisting of short videos, usually under three minutes in length, paired with corresponding captions. While this enables them to describe basic actions like walking or talking, these models struggle with the complexity of long-form videos, such… →