Daily AI Newsletter: Just released: Real-time Text-to-Speech Model for lifelike conversations

Just released: Real-time Text-to-Speech Model for lifelike conversations

How to implement a paper without crying

By Saeed EzzatiPublished Aug 11, 2023, 1:33 AM PDTUpdated Sep 2, 2026, 6:33 PM PDT6 min read

Just released: Real-time Text-to-Speech Model for lifelike conversations

In today’s email:

📣 A Text-to-Speech Model that is built for carrying out conversations like a real person in real-time
😻 The famed Stanford Smallville is officially open-source
📚 How to implement a paper without crying
🛠 Various AI-related tools and platforms, including
- A tool to write SQL without knowing SQ
- A video editor that is just like a text editor
- Your autonomous podcast production intern
- An AI tool for conditional music generation
- An AI job interviewer you can self-host
- and more.

PlayHT 2.0 Conversational - Text-to-Voice AI model built for conversational speech in real-time. [Link]

The world’s first Large Language Text-to-Speech Model that is built for carrying out conversations like a real person in real-time.

This model also introduces for the first time the concept of Emotions to Generative Voice AI, allowing you to control and direct the generation of speech with a particular emotion. The model is available in closed beta and will be made accessible through our API and Studio.

The famed Stanford Smallville is officially open-source! [Link]

The famed Stanford Smallville is officially open-source!
25 AI agents inhabit a digital Westworld, unaware that they are living in a simulation. They go to work, gossip, organize socials, make new friends, and even fall in love. Each has unique personality and backstory.… twitter.com/i/web/status/1…
— Jim Fan (@DrJimFan)
4:40 PM • Aug 9, 2023

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Llama from scratch (or how to implement a paper without crying) [Link]

My approach for implementing papers is:

Make all of the helper functions required to test your model quantitatively (data splits, training, plotting the loss).
Before you even look at the paper, pick a small, simple, and fast model that you've done in the past. Then make a helper function to evaluate the model qualitatively.
Start by picking apart different components of the paper, and then implementing them one-by-one, training and evaluating as you go.

Other stuff

Custom instructions are now available to ChatGPT users on the free plan! [Link] (And so is the Custom instruction profile from Superpower ChatGPT) [A custom instruction for more accurate responses]
AI Botched Their Headshots [Link] HIGHLY RECOMMENDED
Stability AI Is Losing Executives, Engineers, and Its Edge [Link]