marktechpost4d
Thinking LLMs: How Thought Preference Optimization Transforms Language Models to Perform Better Across Logic, Marketing, and Creative Tasks
Large language models (LLMs) have evolved to become powerful tools capable of understanding and responding to user instructions. Based on the transformer architecture, these models predict the next ...
marktechpost3d
AutoDAN-Turbo: A Black-Box Jailbreak Method for LLMs with a Lifelong Agent
Large language models (LLMs) have gained widespread adoption due to their advanced text understanding and generation capabilities. However, ensuring their responsible behavior through safety alignment ...
marktechpost4d
Orthrus: A Mamba-based RNA Foundation Model Designed to Push the Boundaries of RNA Property Prediction
Despite the vast accumulation of genomic data, the RNA regulatory code must still be better understood. Genomic foundation models, pre-trained on large datasets, can adapt RNA representations for ...
marktechpost3d
Google AI Research Examines Random Circuit Sampling (RCS) for Evaluating Quantum Computer Performance in the Presence of Noise
Quantum computers are a revolutionary technology that harnesses the principles of quantum mechanics to perform calculations that would be infeasible for classical computers. Evaluating the performance ...
marktechpost4d
Embodied Agent Interface: An AI Framework for Benchmarking Large Language Models (LLMs) for Embodied Decision Making
Large Language Models (LLMs) need to be evaluated within the framework of embodied decision-making, i.e., the capacity to carry out activities in either digital or physical environments. Even with all ...
marktechpost4d
Google AI Research Introduces Process Advantage Verifiers: A Novel Machine Learning Approach to Improving LLM Reasoning Capabilities
Large language models (LLMs) have become crucial in natural language processing, particularly for solving complex reasoning tasks. These models are designed to handle mathematical problem-solving, ...
marktechpost4d
MentalArena: A Self-Play AI Framework Designed to Train Language Models for Diagnosis and Treatment of Mental Health Disorders
In today’s fast-paced and interconnected world, mental health is more important than ever. The constant pressures of work, social media, and global events can take a toll on our emotional and ...
marktechpost3d
IGNN-Solver: A Novel Graph Neural Solver for Implicit Graph Neural Networks
The most serious challenge regarding IGNNs relates to slow inference speed and scalability. While these networks are effective at capturing long-range dependencies in graphs and addressing ...
marktechpost6d
F5-TTS: A Fully Non-Autoregressive Text-to-Speech System based on Flow Matching with Diffusion Transformer (DiT)
The current challenges in text-to-speech (TTS) systems revolve around the inherent limitations of autoregressive models and their complexity in aligning text and speech accurately. Many conventional ...
marktechpost4d
A New Study by OpenAI Explores How Users’ Names can Impact ChatGPT’s Responses
Bias in AI-powered systems like chatbots remains a persistent challenge, particularly as these models become more integrated into our daily lives. A pressing issue concerns biases that can manifest ...
marktechpost6d
This AI Paper Introduces a Comprehensive Study on Large-Scale Model Merging Techniques
Model merging is an advanced technique in machine learning aimed at combining the strengths of multiple expert models into a single, more powerful model. This process allows the system to benefit from ...
marktechpost5d
Zyphra Releases Zamba2-7B: A State-of-the-Art Small Language Model
Zyphra has officially released Zamba2-7B, a state-of-the-art small language model that promises unprecedented performance in the 7B parameter range. This model outperforms existing competitors, ...