"Intermediate representation" refers to a representation of the music generated from the text prompt. The generator model first turns the text prompt into this intermediate representation, which captures elements of the music such as: -Genre
-Tempo
-Instruments
-Mood
-Era
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Intermediate representation in music generation from text prompts
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Zero-shot classification matches text to music without training
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The model knows how to connect text and music to match each of these sentences with a specific music clip, without having to specifically train the model for each clip.
— AI Breakfast (@AiBreakfast) 9 février 2023
This process is called zero-shot classification. pic.twitter.com/KWerrsnMWjThe model knows how to connect text and music to match each of these sentences with a specific music clip, without having to specifically train the model for each clip. This process is called zero-shot classification.
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Creation of a training set for Noise2Music with LaMDA
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The researchers created a training set for Noise2Music by using two models to label a collection of 6.8M music source files. They used a large language model (LaMDA in this case) to come up with sentences that describe music in a general way.
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Noice2Music generates 30-second music from text inputs
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"Noice2Music" is a project from Google Research that generates a short 30 second piece of music based on text inputs.
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Future of music creation via text prompts using diffusion models
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In the not-too-distant future, anyone will be able to create any type of music they want via text prompts.
— AI Breakfast (@AiBreakfast) 9 février 2023
Here's a look into recent research on diffusion models for generating high quality music audio from text prompts:
(more examples below) pic.twitter.com/ywgJRVoxLxIn the not-too-distant future, anyone will be able to create any type of music they want via text prompts. Here's a look into recent research on diffusion models for generating high quality music audio from text prompts: (more examples below)
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Training generator and cascader models on 300k+ hours of audio
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The 300k+ hours of audio clips were used to train a "generator model" that turns the text into an intermediate representation, and a "cascader model" that uses this intermediate representation to produce high-quality audio.
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Employee Trading Rights: Do All Employers Need Agreement?
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do all employers have to agree to trade you? could see yours getting very complicated
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Adversarial Robustness: Fundamental Problem Underpinning AI Safety
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I sadly missed @zicokolter
's talk, but I really vibed w/ one of his punchlines he shared w/ me today: adversarial robustness may be a basic and toy problem, but we still haven't solved it. Inability to do this indicates gaps in our knowledge, which underlie more complex settings. https://
x.com/NicolasPaperno
/NicolasPapernot/status/1623324869000667137
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Google Quantum AI boosts microwave amplifier output power 100x
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Learn how @GoogleQuantumAI increases the maximum output power of our new superconducting microwave amplifiers by a factor of over 100x, paving the way for the operation of larger quantum processor chips with improved performance. Read more at https://t.co/rhePvB83tn pic.twitter.com/UWdtUj0RZp
— Google AI (@GoogleAI) 9 février 2023Learn how @GoogleQuantumAI increases the maximum output power of our new superconducting microwave amplifiers by a factor of over 100x, paving the way for the operation of larger quantum processor chips with improved performance. Read more at https://
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Homework Should Be Joyful to Compete with ChatGPT
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I wish schools could make homework so joyful that students want to do it themselves, rather than let ChatGPT have all the fun.