Amazon has revealed a new artificial intelligence (AI) model called Amazon Nova Act. This AI agent is designed to operate […]
Category: Large Language Model
How to Build a Prototype X-ray Judgment Tool (Open Source Medical Inference System) Using TorchXRayVision, Gradio, and PyTorch
In this tutorial, we demonstrate how to build a prototype X-ray judgment tool using open-source libraries in Google Colab. By […]
This AI Paper Introduces Diversified DPO and ORPO: Post-Training Methods to Boost Output Diversity in Creative Writing with LLMs
Creative writing is a domain that thrives on diversity and imagination. Unlike fact-based or task-specific writing, where a single correct […]
Advancing Medical Reasoning with Reinforcement Learning from Verifiable Rewards (RLVR): Insights from MED-RLVR
Reinforcement Learning from Verifiable Rewards (RLVR) has recently emerged as a promising method for enhancing reasoning abilities in language models […]
UCLA Researchers Released OpenVLThinker-7B: A Reinforcement Learning Driven Model for Enhancing Complex Visual Reasoning and Step-by-Step Problem Solving in Multimodal Systems
Large vision-language models (LVLMs) integrate large language models with image processing capabilities, enabling them to interpret images and generate coherent […]
Google AI Released TxGemma: A Series of 2B, 9B, and 27B LLM for Multiple Therapeutic Tasks for Drug Development Fine-Tunable with Transformers
Developing therapeutics continues to be an inherently costly and challenging endeavor, characterized by high failure rates and prolonged development timelines. […]
Meet Open Deep Search (ODS): A Plug-and-Play Framework Democratizing Search with Open-source Reasoning Agents
The rapid advancements in search engine technologies integrated with large language models (LLMs) have predominantly favored proprietary solutions such as […]
This AI Paper Introduces the Kolmogorov-Test: A Compression-as-Intelligence Benchmark for Evaluating Code-Generating Language Models
Compression is a cornerstone of computational intelligence, deeply rooted in the theory of Kolmogorov complexity, which defines the minimal program […]
Google DeepMind Researchers Propose CaMeL: A Robust Defense that Creates a Protective System Layer around the LLM, Securing It even when Underlying Models may be Susceptible to Attacks
Large Language Models (LLMs) are becoming integral to modern technology, driving agentic systems that interact dynamically with external environments. Despite […]
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 […]