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...
LLMs Struggle with Real Conversations: Microsoft and Salesforce Researchers Reveal a 39% Performance Drop in Multi-Turn Underspecified Tasks
Source: MarkTechPost Conversational artificial intelligence is centered on enabling large language models (LLMs) to engage in dynamic interactions...
AI Agents Now Write Code in Parallel: OpenAI Introduces Codex, a Cloud-Based Coding Agent Inside ChatGPT
Source: MarkTechPost OpenAI has introduced Codex, a cloud-native software engineering agent integrated into ChatGPT, signaling a new era...
With AI, researchers predict the location of virtually any protein within a human cell
Source: MIT News – Artificial intelligence A protein located in the wrong part of a cell can contribute...
Georgia Tech and Stanford Researchers Introduce MLE-Dojo: A Gym-Style Framework Designed for Training, Evaluating, and Benchmarking Autonomous Machine Learning Engineering (MLE) Agents
Source: MarkTechPost Machine learning engineering (MLE) involves developing, tuning, and deploying machine learning systems that require iterative experimentation,...
Researchers from Tsinghua and ModelBest Release Ultra-FineWeb: A Trillion-Token Dataset Enhancing LLM Accuracy Across Benchmarks
Source: MarkTechPost The data quality used in pretraining LLMs has become increasingly critical to their success. To build...
Meta AI Introduces CATransformers: A Carbon-Aware Machine Learning Framework to Co-Optimize AI Models and Hardware for Sustainable Edge Deployment
Source: MarkTechPost As machine learning systems become integral to various applications, from recommendation engines to autonomous systems, there’s...
Study shows vision-language models can’t handle queries with negation words
Source: MIT News – Artificial intelligence Imagine a radiologist examining a chest X-ray from a new patient. She...