marktechpost5d
Meet Hostinger Horizons: A No-Code AI Tool that Lets You Create, Edit, and Publish Custom Web Apps Without Writing a Single Line of Code
In the evolving landscape of web development, the emergence of no-code platforms has significantly broadened access to application creation. Among these, Hostinger Horizons stands out as an AI-powered ...
marktechpost6d
This AI Paper Propose the UI-R1 Framework that Extends Rule-based Reinforcement Learning to GUI Action Prediction Tasks
Supervised fine-tuning (SFT) is the standard training paradigm for large language models (LLMs) and graphic user interface (GUI) agents. However, SFT demands high-quality labeled datasets, resulting ...
marktechpost8d
Google AI Released TxGemma: A Series of 2B, 9B, and 27B LLM for Multiple Therapeutic Tasks for Drug Development Fine-Tunable with Transformers
Developing therapeutics continues to be an inherently costly and challenging endeavor, characterized by high failure rates and prolonged development timelines. The traditional drug discovery process ...
marktechpost6d
A Beginners Guide to Using Visual Studio Code for Python
Visual Studio Code (VSCode) is a powerful, free source-code editor that makes it easy to write and run Python code. This guide will walk you through setting up VSCode for Python development, step by ...
marktechpost6d
Efficient Inference-Time Scaling for Flow Models: Enhancing Sampling Diversity and Compute Allocation
Recent advancements in AI scaling laws have shifted from merely increasing model size and training data to optimizing inference-time computation. This approach, exemplified by models like OpenAI o1 ...
marktechpost7d
Empowering Time Series AI: How Salesforce is Leveraging Synthetic Data to Enhance Foundation Models
Time series analysis faces significant hurdles in data availability, quality, and diversity, critical factors in developing effective foundation models. Real-world datasets often fall short due to ...
marktechpost7d
Meta Reality Labs Research Introduces Sonata: Advancing Self-Supervised Representation Learning for 3D Point Clouds
3D self-supervised learning (SSL) has faced persistent challenges in developing semantically meaningful point representations suitable for diverse applications with minimal supervision. Despite ...
marktechpost5d
PilotANN: A Hybrid CPU-GPU System For Graph-based ANNS
Approximate Nearest Neighbor Search (ANNS) is a fundamental vector search technique that efficiently identifies similar items in high-dimensional vector spaces. Traditionally, ANNS has served as the ...
marktechpost4d
This AI Paper Introduces Diversified DPO and ORPO: Post-Training Methods to Boost Output Diversity in Creative Writing with LLMs
Creative writing is a domain that thrives on diversity and imagination. Unlike fact-based or task-specific writing, where a single correct output may exist, creative writing involves numerous valid ...
marktechpost13d
Microsoft AI Releases RD-Agent: An AI-Driven Tool for Performing R&D with LLM-based Agents
Research and development (R&D) is crucial in driving productivity, particularly in the AI era. However, conventional automation methods in R&D often lack the intelligence to handle complex research ...
marktechpost11d
This AI Paper from NVIDIA Introduces Cosmos-Reason1: A Multimodal Model for Physical Common Sense and Embodied Reasoning
Artificial intelligence systems designed for physical settings require more than just perceptual abilities—they must also reason about objects, actions, and consequences in dynamic, real-world ...
marktechpost10d
Understanding and Mitigating Failure Modes in LLM-Based Multi-Agent Systems
Despite the growing interest in Multi-Agent Systems (MAS), where multiple LLM-based agents collaborate on complex tasks, their performance gains remain limited compared to single-agent frameworks.