Machine Learning Research - The Batch | DeepLearning.AI (Page 8)

Machine Learning Research

Synthetic Data Factory: AgentInstruct, a framework for generating diverse synthetic data for LLM fine-tuning

Researchers increasingly fine-tune models on synthetic data, but generated datasets may not be sufficiently diverse. New work used agentic workflows to produce diverse synthetic datasets.

Machine Learning Research

Expressive Synthetic Talking Heads: Microsoft's VASA-1 delivers more lifelike talking-head videos

Previous systems that produce a talking-head video from a photo and a spoken-word audio clip animate the lips and other parts of the face separately.

Machine Learning Research

Hallucination Detector: Oxford scientists propose effective method to detect AI hallucinations

Large language models can produce output that’s convincing but false. Researchers proposed a way to identify such hallucinations.

Tech & Society

How Open Are Open Models?: Radboud University study ranks AI models on openness

The word “open” can mean many things with respect to AI. A new paper outlines the variations and ranks popular models for openness.

Machine Learning Research

Efficient Subject Consistency For Stable Diffusion

Published in mid-2022, DreamBooth enables Stable Diffusion to depict variations on a given subject; say, a particular dog and the same dog with angel wings or wearing a chef’s hat.

Machine Learning Research

Like LoRA, But for Pretraining: GaLore, a memory-saving method for pretraining and fine-tuning LLMs

Low-rank adaptation (LoRA) reduces memory requirements when fine-tuning large language models, but it isn’t as conducive to pretraining.

Machine Learning Research

Model Merging Evolves: Researchers developed automated system for efficient model merging

The technique of model merging combines separate models into a single, more capable model without further training, but it requires expertise and manual effort. Researchers automated the process.

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

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.

Different results from new text-to-image models from Nvidia, Alibaba, and Stability AI

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.