New technique helps LLMs improve reasoning by ignoring irrelevant information
New technique can accelerate language models by 300x
Why the open source community might be the biggest winner of the OpenAI fallout
How Microsoft is reducing its dependence on OpenAI
Here is how far we are to achieving AGI, according to DeepMind
Running thousands of LLMs on one GPU is now possible with S-LoRA
Language models can use steganography to hide their reasoning, study finds
New method reveals how one LLM can be used to jailbreak another
Cohere launches Embed V3 for enterprise LLM applications
MIT’s copilot system can set the stage for a new wave of AI innovation
How generative AI is making robots smarter, more capable, and more ready for the mainstream
Meet LLEMMA, the math-focused open source AI that outperforms rivals
DeepMind UniSim simulates reality to train robots, game characters
Uh-oh! Fine-tuning LLMs compromises their safety, study finds
The open-source alternatives to GPT-4 Vision are coming
DeepMind’s ‘remarkable’ new AI controls robots of all kinds
Microsoft’s AutoGen framework allows multiple AI agents to talk to each other and complete your tasks
The implications of the generative AI gold rush
LLMs are surprisingly great at compressing images and audio, DeepMind researchers find
DeepMind discovers that AI large language models can optimize their own prompts
How AI agents are already simulating human civilization
How LLMs could benefit from a decades’ long symbolic AI project
How MIT’s Liquid Neural Networks can solve AI problems from robotics to self-driving cars
VentureBeat Transform Day 2: Embracing partnerships for generative AI success
VentureBeat Transform Day 1: Moving fast with care advised for AI adoption
Meta announces Voicebox, a generative model for multiple voice synthesis tasks
Meta releases I-JEPA, a machine learning model that learns high-level abstractions from images
Rethinking AI benchmarks: A new paper challenges the status quo of evaluating artificial intelligence
Why exams intended for humans might not be good benchmarks for LLMs like GPT-4
Diffusion models can be contaminated with backdoors, study finds
What’s next in large language model (LLM) research? Here’s what’s coming down the ML pike
Hugging Face, AWS partner on open-source machine learning amidst AI arms race
GitHub Copilot expands market for AI code generation with new business plan
How Microsoft can become the biggest winner of generative AI
OpenAI, Georgetown, Stanford study finds LLMs can boost public opinion manipulation
Google’s Muse model could be the next big thing for generative AI
ChatGPT and the unbundling of online search
What we learned about AI and deep learning in 2022
