
Sakana AI and NVIDIA Introduce TwELL with CUDA Kernels for 20.5% Inference and 21.9% Training Speedup in LLMs
Sakana AI and NVIDIA researchers demonstrated that L1 regularization can achieve over 99% sparsity in LLM feedforward...

Sakana AI and NVIDIA researchers demonstrated that L1 regularization can achieve over 99% sparsity in LLM feedforward...

A comprehensive guide comparing nine leading vector database systems used as core infrastructure for RAG and agentic AI...

This tutorial demonstrates an advanced single-cell RNA-seq analysis workflow using Scanpy on the PBMC-3k dataset,...

Five key figures across the AI supply chain gathered at the Milken Global Conference to discuss critical challenges in...

MIT economists found US companies tend to target employees earning a “wage premium,” which increases inequality but not...

A new study reveals that using AI assistants for even brief periods can negatively impact cognitive abilities and...
Assistant Professor Gabriele Farina conducts research on strategic decision-making in multi-agent scenarios, exploring...

The article explains how momentum optimization improves gradient descent by reducing oscillations and speeding up...

Zyphra introduces Tensor and Sequence Parallelism (TSP), a hardware-aware training and inference strategy that combines...

This tutorial demonstrates how to build a production-grade machine learning pipeline using ZenML, covering custom...

This tutorial demonstrates how to efficiently explore and analyze the TaskTrove dataset from Hugging Face using...

MIT researchers have discovered that a phenomenon called superposition explains why large language model performance...

Sakana AI has introduced KAME, a tandem speech-to-speech architecture that integrates LLM knowledge into conversational...

This tutorial demonstrates an end-to-end neuroAI pipeline that decodes linguistic features from MEG brain signals using...

MIT senior Olivia Honeycutt investigates how the ways we communicate can shape our views of the world.

President Sally Kornbluth spoke in front of a packed crowd about growing challenges to the U.S. research ecosystem as...

The article discusses 10 KV cache compression techniques for optimizing Large Language Model inference, covering...

MIT and IBM have launched a new computing research lab focused on the convergence of AI, algorithms, and quantum...

smol-audio is a collection of Google Colab-friendly notebooks designed for fine-tuning multiple audio AI models...