Using ChatGPT to understand Microsoft’s VALL-E — Neural Codec Language Model Paper
Last Updated on July 17, 2023 by Editorial Team
Author(s): Ana Bildea
Originally published on Towards AI.
Using ChatGPT as a personal assistant to understand scientific papers

image generated by the author using Nightcafe.
In my previous article, I discussed how ChatGPT could assist in designing your text prompt. In this article, I would like to share how the ChatGPT chatbot can be extremely useful when we read scientific papers. So let’s read the Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers paper recently released on arxiv. I used ChatGPT to define field-specific terms such as phonemes and to provide a more thorough understanding of the current advancements in Zero-shot TTS (Text-to-Speech) synthesis. I must admit that it’s quite fun to have such a highly intelligent… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.