Blog
Self-Consuming Generative Models Go MAD – Paper Summary
Introduction Generative AI models are now everywhere. They synthesize images, text, audio, and more. These models often train on large...
Read moreDetails
Byte Latent Transformer: Patches Scale Better Than Tokens – Paper Summary
Summary Modern large language models (LLMs) rely almost universally on tokenization as a preprocessing step. The process of tokenization involves...
Read moreDetails
AutoReason: Automatic Few-Shot Decomposition – Paper Summary
Summary Recent years have witnessed extraordinary advancements in the capabilities of Large Language Models (LLMs). Models like GPT-3.5, GPT-4, Claude,...
Read moreDetailsSelf-Taught Evaluators: Iterative Improvement Without Human-Labeled Preferences – Paper Summary
Summary Large Language Models (LLMs) have rapidly advanced and now serve as the backbone of numerous language-based applications, from open-ended...
Read moreDetails
OpenAI-o1 AB Testing: Does the o1 model really do good reasoning in math problem solving? Summary
Introduction and Motivation The paper investigates the reasoning capabilities of a recently released large language model (LLM) developed by OpenAI,...
Read moreDetails
We feature the best AI apps, tools, and platforms across the web. If you are an AI app creator and would like to be featured here, feel free to contact us.
