What is Residual Vector Quantization?
Neural Audio Compression methods based on Residual Vector Quantization are reshaping the landscape of modern audio codecs. In this guide, learn the basic ideas behind RVQ and how it enhances Neural Compression.
Marco Ramponi
Developer Educator at AssemblyAI
Why Language Models Became Large Language Models And The Hurdles In Developing LLM-based Applications
What’s the difference between Language Models and Large Language Models? Let’s understand AI development trends and the difficulties of integrating LLMs into real-world applications.
How RLHF Preference Model Tuning Works (And How Things May Go Wrong)
Large Language Models like ChatGPT are trained with Reinforcement Learning From Human Feedback (RLHF) to learn human preferences. Let’s uncover how RLHF works and survey its current strongest limitations.
Recent developments in Generative AI for Audio
The spotlight has been on language and images for Generative AI, but there's been a lot of recent progress in the audio domain. Learn everything you need to know about generative audio models in this article.
Large Language Models for Product Managers: 5 Things to Know
A Product Manager's guide to understanding Large Language Models and the building blocks of Conversational AI.