NVIDIA Releases Cosmos-Reason1: A Suite of AI Models Advancing Physical Common Sense and Embodied Reasoning in Real-World Environments
Source: MarkTechPost AI has advanced in language processing, mathematics, and code generation, but extending these capabilities to physical...
Enhancing Language Model Generalization: Bridging the Gap Between In-Context Learning and Fine-Tuning
Source: MarkTechPost Language models (LMs) have great capabilities as in-context learners when pretrained on vast internet text corpora,...
Researchers from Renmin University and Huawei Propose MemEngine: A Unified Modular AI Library for Customizing Memory in LLM-Based Agents
Source: MarkTechPost LLM-based agents are increasingly used across various applications because they handle complex tasks and assume multiple...
Meta Introduces KernelLLM: An 8B LLM that Translates PyTorch Modules into Efficient Triton GPU Kernels
Source: MarkTechPost Meta has introduced KernelLLM, an 8-billion-parameter language model fine-tuned from Llama 3.1 Instruct, aimed at automating...
Salesforce AI Researchers Introduce UAEval4RAG: A New Benchmark to Evaluate RAG Systems’ Ability to Reject Unanswerable Queries
Source: MarkTechPost While RAG enables responses without extensive model retraining, current evaluation frameworks focus on accuracy and relevance...
Chain-of-Thought May Not Be a Window into AI’s Reasoning: Anthropic’s New Study Reveals Hidden Gaps
Source: MarkTechPost Chain-of-thought (CoT) prompting has become a popular method for improving and interpreting the reasoning processes of...
Omni-R1: Advancing Audio Question Answering with Text-Driven Reinforcement Learning and Auto-Generated Data
Source: MarkTechPost Recent developments have shown that RL can significantly enhance the reasoning abilities of LLMs. Building on...
Reinforcement Learning Makes LLMs Search-Savvy: Ant Group Researchers Introduce SEM to Optimize Tool Usage and Reasoning Efficiency
Source: MarkTechPost Recent progress in LLMs has shown their potential in performing complex reasoning tasks and effectively using...
LLMs Struggle to Act on What They Know: Google DeepMind Researchers Use Reinforcement Learning Fine-Tuning to Bridge the Knowing-Doing Gap
Source: MarkTechPost Language models trained on vast internet-scale datasets have become prominent language understanding and generation tools. Their...
SWE-Bench Performance Reaches 50.8% Without Tool Use: A Case for Monolithic State-in-Context Agents
Source: MarkTechPost Recent advancements in LM agents have shown promising potential for automating intricate real-world tasks. These agents...