marktechpost4d
This AI Paper Explores Quantization Techniques and Their Impact on Mathematical Reasoning in Large Language Models
Mathematical reasoning stands at the backbone of artificial intelligence and is highly important in arithmetic, geometric, and competition-level problems. Recently, LLMs have emerged as very useful ...
marktechpost4d
Meet KaLM-Embedding: A Series of Multilingual Embedding Models Built on Qwen2-0.5B and Released Under MIT
Multilingual applications and cross-lingual tasks are central to natural language processing (NLP) today, making robust embedding models essential. These models underpin systems like ...
marktechpost4d
Evola: An 80B-Parameter Multimodal Protein-Language Model for Decoding Protein Functions via Natural Language Dialogue
Proteins, essential molecular machines evolved over billions of years, perform critical life-sustaining functions encoded in their sequences and revealed through their 3D structures. Decoding their ...
marktechpost5d
AMD Researchers Introduce Agent Laboratory: An Autonomous LLM-based Framework Capable of Completing the Entire Research Process
Scientific research is often constrained by resource limitations and time-intensive processes. Tasks such as hypothesis testing, data analysis, and report writing demand significant effort, leaving ...
marktechpost5d
The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation
Owing to the advent of Artificial Intelligence (AI), the software industry has been leveraging Large Language Models (LLMs) for code completion, debugging, and generating test cases. However, LLMs ...
marktechpost5d
Researchers from SynthLabs and Stanford Propose Meta Chain-of-Thought (Meta-CoT): An AI Framework for Improving LLM Reasoning
Large Language Models (LLMs) have significantly advanced artificial intelligence, particularly in natural language understanding and generation. However, these models encounter difficulties with ...
marktechpost12d
13 Free AI Courses on AI Agents in 2025
In the ever-evolving landscape of artificial intelligence, the year 2025 has brought forth a treasure trove of educational resources for aspiring AI enthusiasts and professionals. AI agents, with ...
marktechpost5d
This AI Paper Introduces Virgo: A Multimodal Large Language Model for Enhanced Slow-Thinking Reasoning
Artificial intelligence research has steadily advanced toward creating systems capable of complex reasoning. Multimodal large language models (MLLMs) represent a significant development in this ...
marktechpost8d
Graph Generative Pre-trained Transformer (G2PT): An Auto-Regressive Model Designed to Learn Graph Structures through Next-Token Prediction
Graph generation is an important task across various fields, including molecular design and social network analysis, due to its ability to model complex relationships and structured data. Despite ...
marktechpost5d
This AI Paper Introduces Semantic Backpropagation and Gradient Descent: Advanced Methods for Optimizing Language-Based Agentic Systems
Language-based agentic systems represent a breakthrough in artificial intelligence, allowing for the automation of tasks such as question-answering, programming, and advanced problem-solving. These ...
marktechpost6d
Researchers from Princeton University Introduce Metadata Conditioning then Cooldown (MeCo) to Simplify and Optimize Language Model Pre-training
The pre-training of language models (LMs) plays a crucial role in enabling their ability to understand and generate text. However, a significant challenge lies in effectively leveraging the diversity ...
marktechpost13d
This AI Paper from NVIDIA and SUTD Singapore Introduces TANGOFLUX and CRPO: Efficient and High-Quality Text-to-Audio Generation with Flow Matching
Text-to-audio generation has transformed how audio content is created, automating processes that traditionally required significant expertise and time. This ...