marktechpost21h
Reinforcement Learning
In a time when global health faces persistent threats from emerging pandemics, the need for advanced biosurveillance and pathogen detection systems is increasingly evident. Traditional genomic ...
marktechpost5d
What are Large Language Model (LLMs)?
Understanding and processing human language has always been a difficult challenge in artificial intelligence. Early AI systems often struggled to handle tasks like translating languages, generating ...
marktechpost5d
RAG-Check: A Novel AI Framework for Hallucination Detection in Multi-Modal Retrieval-Augmented Generation Systems
Large Language Models (LLMs) have revolutionized generative AI, showing remarkable capabilities in producing human-like responses. However, these models face a critical challenge known as ...
marktechpost8d
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 ...
marktechpost11d
Dolphin 3.0 Released (Llama 3.1 + 3.2 + Qwen 2.5): A Local-First, Steerable AI Model that Puts You in Control of Your AI Stack and Alignment
Artificial intelligence has come a long way, transforming the way we work, live, and interact. Yet, challenges remain. Many AI systems rely heavily on cloud-based infrastructure, which raises valid ...
marktechpost6d
Google AI Just Released TimesFM-2.0 (JAX and Pytorch) on Hugging Face with a Significant Boost in Accuracy and Maximum Context Length
Time-series forecasting plays a crucial role in various domains, including finance, healthcare, and climate science. However, achieving accurate predictions remains a significant challenge.
marktechpost7d
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 ...
marktechpost7d
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 ...
marktechpost8d
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 ...
marktechpost6d
Good Fire AI Open-Sources Sparse Autoencoders (SAEs) for Llama 3.1 8B and Llama 3.3 70B
Large language models (LLMs) like OpenAI’s GPT and Meta’s LLaMA have significantly advanced natural language understanding and text generation. However, these advancements come with substantial ...
marktechpost11d
ScreenSpot-Pro: The First Benchmark Driving Multi-Modal LLMs into High-Resolution Professional GUI-Agent and Computer-Use Environments
GUI agents face three critical challenges in professional environments: (1) the greater complexity of professional applications compared to general-use software, requiring detailed comprehension of ...
marktechpost14d
Top 25 AI Tools for Organizing Notes in 2025
In today’s fast-paced world, staying organized is crucial for productivity, especially for professionals handling complex tasks like financial management. AI-powered note-taking tools have ...