From Fine-Tuning to Prompt Engineering: Theory and Practice for Efficient Transformer Adaptation
Source: MarkTechPost The Challenge of Fine-Tuning Large Transformer Models Self-attention enables transformer models to capture long-range dependencies in...
EPFL Researchers Introduce MEMOIR: A Scalable Framework for Lifelong Model Editing in LLMs
Source: MarkTechPost The Challenge of Updating LLM Knowledge LLMs have shown outstanding performance for various tasks through extensive...
OpenBMB Releases MiniCPM4: Ultra-Efficient Language Models for Edge Devices with Sparse Attention and Fast Inference
Source: MarkTechPost The Need for Efficient On-Device Language Models Large language models have become integral to AI systems,...
StepFun Introduces Step-Audio-AQAA: A Fully End-to-End Audio Language Model for Natural Voice Interaction
Source: MarkTechPost Rethinking Audio-Based Human-Computer Interaction Machines that can respond to human speech with equally expressive and natural...
EPFL Researchers Unveil FG2 at CVPR: A New AI Model That Slashes Localization Errors by 28% for Autonomous Vehicles in GPS-Denied Environments
Source: MarkTechPost Navigating the dense urban canyons of cities like San Francisco or New York can be a...
OThink-R1: A Dual-Mode Reasoning Framework to Cut Redundant Computation in LLMs
Source: MarkTechPost The Inefficiency of Static Chain-of-Thought Reasoning in LRMs Recent LRMs achieve top performance by using detailed...
Microsoft AI Introduces Code Researcher: A Deep Research Agent for Large Systems Code and Commit History
Source: MarkTechPost Rise of Autonomous Coding Agents in System Software Debugging The use of AI in software development...
Internal Coherence Maximization (ICM): A Label-Free, Unsupervised Training Framework for LLMs
Source: MarkTechPost Post-training methods for pre-trained language models (LMs) depend on human supervision through demonstrations or preference feedback...
MemOS: A Memory-Centric Operating System for Evolving and Adaptive Large Language Models
Source: MarkTechPost LLMs are increasingly seen as key to achieving Artificial General Intelligence (AGI), but they face major...
Sakana AI Introduces Text-to-LoRA (T2L): A Hypernetwork that Generates Task-Specific LLM Adapters (LoRAs) based on a Text Description of the Task
Source: MarkTechPost Transformer models have significantly influenced how AI systems approach tasks in natural language understanding, translation, and...