marktechpost4d
The Allen Institute for AI (AI2) Releases OLMo 2: A New Family of Open-Sourced 7B and 13B Language Models Trained on up to 5T Tokens
The development of language modeling focuses on creating artificial intelligence systems that can process and generate text with human-like fluency. These models play critical roles in machine ...
marktechpost6d
Retrieval-Augmented Generation (RAG): Deep Dive into 25 Different Types of RAG
Retrieval-augmented generation (RAG) architectures are revolutionizing how information is retrieved and processed by integrating retrieval capabilities with generative artificial intelligence. This ...
marktechpost5d
Researchers from NVIDIA and MIT Present SANA: An Efficient High-Resolution Image Synthesis Pipeline that Could Generate 4K Images from a Laptop
Diffusion models have pulled ahead of others in text-to-image generation. With continuous research in this field over the past year, we can now generate high-resolution, realistic images that are ...
marktechpost5d
Meet Foundry: An AI Startup that Builds, Evaluates, and Improves AI Agents
The development of AI agents as autonomous tools capable of handling complex tasks has led to a significant advancement in artificial intelligence. Foundry, a Y Combinator-backed startup, aims to be ...
marktechpost5d
StereoAnything: A Highly Practical AI Solution for Robust Stereo Matching
Computer vision is revolutionizing due to the development of foundation models in object recognition, image segmentation, and monocular depth estimation, showing strong zero- and few-shot performance ...
marktechpost5d
Microsoft AI Introduces LazyGraphRAG: A New AI Approach to Graph-Enabled RAG that Needs No Prior Summarization of Source Data
In AI, a key challenge lies in improving the efficiency of systems that process unstructured datasets to extract valuable insights. This involves enhancing retrieval-augmented generation (RAG) tools, ...
marktechpost5d
Hugging Face Releases SmolVLM: A 2B Parameter Vision-Language Model for On-Device Inference
In recent years, there has been a growing demand for machine learning models capable of handling visual and language tasks effectively, without relying on large, cumbersome infrastructure. The ...
marktechpost8d
Researchers from the University of Maryland and Adobe Introduce DynaSaur: The LLM Agent that Grows Smarter by Writing its Own Functions
Traditional large language model (LLM) agent systems face significant challenges when deployed in real-world scenarios due to their limited flexibility and adaptability. Existing LLM agents typically ...
marktechpost6d
Red Teaming for AI: Strengthening Safety and Trust through External Evaluation
Red teaming plays a pivotal role in evaluating the risks associated with AI models and systems. It uncovers novel threats, identifies gaps in current safety measures, and strengthens quantitative ...
marktechpost5d
CelloType: A Transformer-Based AI Framework for Multitask Cell Segmentation and Classification in Spatial Omics
Cell segmentation and classification are vital tasks in spatial omics data analysis, which provides unprecedented insights into cellular structures and tissue functions. Recent advancements in spatial ...
marktechpost7d
Meet CircleMind: An AI Startup that is Transforming Retrieval Augmented Generation with Knowledge Graphs and PageRank
In an era of information overload, advancing AI requires not just innovative technologies but smarter approaches to data processing and understanding. Meet CircleMind, an AI startup reimagining ...
marktechpost1d
Artificial Intelligence
Matching patients to suitable clinical trials is a pivotal but highly challenging process in modern medical research. It involves analyzing complex patient medical histories and mapping them against ...