Browsing: ML News
Large multimodal models (LMMs) have the potential to revolutionize how machines interact with human languages and visual information, offering more intuitive and natural ways for machines…
Large Language Models (LLMs) have extended their capabilities to different areas, including healthcare, finance, education, entertainment, etc. These models have utilized the power of Natural Language…
In deep learning, the quest for efficiency has led to a paradigm shift in how we finetune large-scale models. The research spearheaded by Soufiane Hayou, Nikhil…
New standards are being set across various activities by Large Language Models (LLMs), which are causing a revolution in natural language processing. Despite their successes, most…
Google researchers address the challenge of maintaining the correctness of differentially private (DP) mechanisms by introducing a large-scale library for auditing differential privacy, DP-Auditorium. Differential privacy…
Current approaches to world modeling largely focus on short sequences of language, images, or video clips. This means models miss out on information present in longer…
Recent advancements in generative deep learning models have revolutionized fields such as Natural Language Processing (NLP) and Computer Vision (CV). Previously, specialized models with supervised training…
Deep reinforcement learning (RL) focuses on agents learning to achieve a goal. These agents are trained using algorithms that balance exploration of the environment with the…
Researchers from Google DeepMind have collaborated with Mila, and McGill University defined appropriate reward functions to address the challenge of efficiently training reinforcement learning (RL) agents.…
The well-known Artificial Intelligence (AI)-based chatbot, i.e., ChatGPT, which has been built on top of GPT’s transformer architecture, uses the technique of Reinforcement Learning from Human…