
Mastering Data Compression with LLMs via LMCompress
LMCompress uses large language models to achieve state of the art, lossless compression across text,
LMCompress uses large language models to achieve state of the art, lossless compression across text,
AlphaEvolve by DeepMind evolves and optimizes code using LLMs and evolutionary algorithms, enabling breakthroughs in
J1 by Meta AI is a reasoning-focused LLM judge trained with synthetic data and verifiable
Unstract automates document processing with AI, reducing manual effort, errors, and costs.
TAID enhances LLM distillation by dynamically interpolating student-teacher distributions, solving capacity gaps and mode collapse.
DeepSeek’s R1 model revolutionizes AI reasoning, balancing reinforcement learning with structured training techniques.
AISuite provides a unified API for interacting with multiple LLM providers, enabling seamless model switching.
MiniMax-01 achieves up to 4M tokens with lightning attention and MoE, setting new standards for
Constitutional Classifiers provide a robust framework to defend LLMs against universal jailbreaks, leveraging adaptive filtering
Author(s): Mohamed Azharudeen M, Balaji Dhamodharan
Author(s): Vivek Vishwas Vichare, Kirill Dubovikov, and Team
Author(s): Divyanshi Yadav, Vipul Sharma, Prakash Selvakumar