Large Language Models in Healthcare: Breakthroughs, Use Cases, and Challenges
Why do we – as a human civilization – need to nurture scientific competencies and foster R&D-driven innovation? Can’t conventional ...
Tag: Language
NVIDIA Launches Secure AI General Availability with Enhanced Protection for Large Language Models
Joerg Hiller Apr 23, 2025 15:28 NVIDIA announces the general availability of its Secure AI solution, ...
Making AI-generated code more accurate in any language | MIT News
Programmers can now use large language models (LLMs) to generate computer code more quickly. However, this only makes programmers’ lives ...
MIT Researchers Introduce DISCIPL: A Self-Steering Framework Using Planner and Follower Language Models for Efficient Constrained Generation and Reasoning
Language models predict sequences of words based on vast datasets and are increasingly expected to reason and perform complex linguistic ...
Training LLMs to self-detoxify their language | MIT News
As we mature from childhood, our vocabulary — as well as the ways we use it — grows, and our ...
Google AI Introduce the Articulate Medical Intelligence Explorer (AMIE): A Large Language Model Optimized for Diagnostic Reasoning, and Evaluate its Ability to Generate a Differential Diagnosis
Developing an accurate differential diagnosis (DDx) is a fundamental part of medical care, typically achieved through a step-by-step process that ...
Meet Open-Qwen2VL: A Fully Open and Compute-Efficient Multimodal Large Language Model
Multimodal Large Language Models (MLLMs) have advanced the integration of visual and textual modalities, enabling progress in tasks such as ...
Tencent AI Researchers Introduce Hunyuan-T1: A Mamba-Powered Ultra-Large Language Model Redefining Deep Reasoning, Contextual Efficiency, and Human-Centric Reinforcement Learning
Large language models struggle to process and reason over lengthy, complex texts without losing essential context. Traditional models often suffer ...
This AI Paper Introduces PLAN-AND-ACT: A Modular Framework for Long-Horizon Planning in Web-Based Language Agents
Large language models are powering a new wave of digital agents to handle sophisticated web-based tasks. These agents are expected ...
Meta AI Researchers Introduced SWEET-RL and CollaborativeAgentBench: A Step-Wise Reinforcement Learning Framework to Train Multi-Turn Language Agents for Realistic Human-AI Collaboration Tasks
Large language models (LLMs) are rapidly transforming into autonomous agents capable of performing complex tasks that require reasoning, decision-making, and ...
