TLDR Index
TLDR AI

TLDR AI 2023-05-11

5 sections15 entriesinline urlcomplete parse

Parse notes

  • Subscription/account footer truncated before parsefooter_truncated

01HEADLINES & LAUNCHES

02RESEARCH & INNOVATION

ENHANCING LANGUAGE MODELS WITH ALGORITHMS FOR SUPERIOR PERFORMANCE

Recent research shows that incorporating algorithms into large pre-trained language models (LLMs) can significantly improve their capabilities, without the need for fine-tuning. An example of evidence-supported question-answering demonstrates a 6.4% improvement over the standard baseline, suggesting the potential advantages of this innovative, cost-effective method.

arxiv.org13 min read

MODELS

This paper systematically evaluates methods for generating images from diffusion models and their benefits for data augmentation in downstream tasks. The study reveals that personalizing diffusion models towards target data is effective, but using the training data of the diffusion model alone through a simple nearest neighbor retrieval procedure results in stronger downstream performance, highlighting the potential and limitations of diffusion models in data augmentation.

arxiv.org16 min read

03ENGINEERING & RESOURCES

PRE-TRAINING WITHOUT ATTENTION

Attention is a way for a language model to perform computation over words. It is pretty expensive. What if we could use 1d convolution state space models for BERT training? It turns out to perform quite well, all the code, weights, etc is available here in Jax.

github.comGitHub repository

CHAIN-OF-THOUGHT-HUB

Chain-Of-Thought-Hub benchmarks large language models' complex reasoning ability with chain-of-thought prompting.

github.comGitHub repository

LLM CHAIN

LLM Chain is a powerful rust crate for building chains in large language models allowing you to summarize text and complete complex tasks.

github.comGitHub repository

Sponsored

AI IS GETTING SMARTER. ARE YOU?

Will a robot be sitting at your desk tomorrow? Unlikely. But the person competing for your next job will probably know the concepts behind AI — and how to put them to work. Luckily, Brilliant

brilliant.orgSponsor

04MISCELLANEOUS