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TLDR AI 2023-04-06
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01GENERAL
02HEADLINES & LAUNCHES
SEGMENT ANYTHING, MAJOR ADVANCE IN IMAGE SEGMENTATION
GOOGLE REVEALS ITS NEWEST A.I. SUPERCOMPUTER, SAYS IT BEATS NVIDIA
03RESEARCH & INNOVATION
WHAT HAPPENS TO MODELS AS THEY TRAIN?
The Pythia paper from EleutherAI is finally here! They released hundreds of checkpoints of Transformer models over time as they train. This is useful because it is not at all clear what skills models gain over time, but now the community can inspect the dynamics of training and gain massive insights into potential areas for improvement and efficiency.
A SURVEY OF LARGE LANGUAGE MODELS
This paper discusses the evolution of language modeling for artificial intelligence algorithms, with a focus on recent advances in large language models (LLMs) with billions of parameters. The paper offers a comprehensive review of LLMs, including pre-training, adaptation tuning, utilization, and capacity evaluation, and provides a useful resource for researchers and engineers.
MODELS
AUDIT is a new instruction-guided audio editing model based on latent diffusion models, which can automatically modify only the necessary audio segments and only requires edit instructions instead of full target audio descriptions as text input. The proposed model achieved state-of-the-art results in both objective and subjective metrics for several audio editing tasks, including adding, dropping, replacement, inpainting, and super-resolution.
04ENGINEERING & RESOURCES
BASICS OF LLMS
This tutorial talks about the basics of large language models.
LYFT2VEC: EMBEDDINGS AT LYFT
VOCODE
Vocode is an open source library that makes it easy to build voice-based LLM apps.
05MISCELLANEOUS
OUR APPROACH TO AI SAFETY
OpenAI is leading the way in capabilities research, they also are a strong player in developing safety systems for their language models. They outline a few directions they are tackling such as factuality, child safety, privacy, and more. They have made progress on all of these aims and the fact that GPT-4 was finished training 6 months before its launch, but held back to focus on safety concerns is interesting. The biggest take away here is that GPT-4 is 40% less likely to generate factually incorrect output than gpt-3.5-turbo.
WHERE ARE AI VIDEOS GOING?
AI-generated videos are gaining popularity, often depicting surreal scenes or celebrity memes. The technology's rapid advancement raises questions about its potential in Hollywood, such as casting movies or modeling scenes. Although challenges remain, experts believe AI will have a significant impact on content creation, but it won't replace human talent in the film industry anytime soon.