Machine Learning Research
24 Hours on an Old Consumer GPU: Optimizing LLMs for low-resource hardware
BERT, a large language model released in 2018 and built upon the then-new transformer architecture, marked a paradigm shift in AI.
Machine Learning Research
Machine Learning Research
Benchmarks for Agentic Behaviors: New LLM benchmarks for Tool Use and Planning in workplace tasks
Tool use and planning are key behaviors in agentic workflows that enable large language models (LLMs) to execute complex sequences of steps. New benchmarks measure these capabilities in common workplace tasks.
Machine Learning Research
For Faster Diffusion, Think a GAN: Adversarial Diffusion Distillation, a method to accelerate diffusion models
Generative adversarial networks (GANs) produce images quickly, but they’re of relatively low quality. Diffusion image generators typically take more time, but they produce higher-quality output. Researchers aimed to achieve the best of both worlds.
Jun 19, 2024
More New Open Models: New models from Nvidia, Alibaba, and Stability AI expand open options
A trio of powerful open and semi-open models give developers new options for both text and image generation.
Machine Learning Research
The LLM Will See You Now: AMIE, a chatbot that outperforms doctors in diagnostic conversations
A critical step in diagnosing illnesses is a conversation between doctor and patient to assemble a medical history, discuss approaches to managing symptoms, and so on.
Tech & Society
Audio Generation Clear of Copyrights: Stability AI releases enhanced text-to-audio generator Stable Audio Open
Sonically minded developers gained a high-profile text-to-audio generator.
Machine Learning Research
Better Teachers Make Better Students: Microsoft‘s Orca 2 strengthens the native reasoning abilities of smaller models
A relatively small student LLM that learns to mimic a larger teacher model can perform nearly as well as the teacher while using much less computation. It can come even closer if the teacher also teaches reasoning techniques.
Machine Learning Research
Richer Context for RAG: RAPTOR, a recursive summarizer, captures more relevant context for LLM inputs
Text excerpts used in retrieval augmented generation (RAG) tend to be short. Researchers used summarization to pack more relevant context into the same amount of text.
Machine Learning Research
Interpreting Image Edit Instructions: Meta’s Emu Edit improves text-to-image generation with task classification.
The latest text-to-image generators can alter images in response to a text prompt, but their outputs often don’t accurately reflect the text. They do better if, in addition to a prompt, they’re told the general type of alteration they’re expected to make.
Machine Learning Research
Brain-Controlled Robots Get More Versatile: NOIR, a system to control robots via electroencephalogram for everyday tasks
Brain-to-computer interfaces that enable users to control robots with their thoughts typically execute a single type of task such as reaching and grasping. Researchers designed a system that responds to a variety of intentions.
Machine Learning Research
Streamlined Inference: Deja Vu, a method that boosts LLM speed by activating only essential neural parts
It’s not necessary to activate all parts of a large language model to process a given input. Using only the necessary parts saves processing.
Letters
Beware Bad Arguments Against Open Source: Big companies are lobbying governments to limit open source AI. Their shifting arguments betray their self-serving motivations.
Inexpensive token generation and agentic workflows for large language models (LLMs) open up intriguing new possibilities for training LLMs on synthetic data...