The Growing Role of AI in Biomedical Research The field of biomedical artificial intelligence is evolving rapidly, with increasing demand for agents capable of performing tasks that span genomics, clinical diagnostics, and molecular biology. These agents aren’t merely designed to retrieve facts; they are expected to reason through complex biological problems, interpret patient data, and […] The post Biomni-R0: New Agentic LLMs Trained End-to-End with Multi-Turn Reinforcement Learning for ...| MarkTechPost
EmbeddingGemma is Google’s new open text embedding model optimized for on-device AI, designed to balance efficiency with state-of-the-art retrieval performance. How compact is EmbeddingGemma compared to other models? At just 308 million parameters, EmbeddingGemma is lightweight enough to run on mobile devices and offline environments. Despite its size, it performs competitively with much larger embedding […] The post Google AI Releases EmbeddingGemma: A 308M Parameter On-Device Embedding ...| MarkTechPost
The Allen Institute for AI (AI2) has released OLMoASR, a suite of open automatic speech recognition (ASR) models that rival closed-source systems such as OpenAI’s Whisper. Beyond just releasing model weights, AI2 has published training data identifiers, filtering steps, training recipes, and benchmark scripts—an unusually transparent move in the ASR space. This makes OLMoASR one […] The post What is OLMoASR and How Does It Compare to OpenAI’s Whisper in Speech Recognition? appeared fi...| MarkTechPost
Introduction Tencent’s Hunyuan team has released Hunyuan-MT-7B (a translation model) and Hunyuan-MT-Chimera-7B (an ensemble model). Both models are designed specifically for multilingual machine translation and were introduced in conjunction with Tencent’s participation in the WMT2025 General Machine Translation shared task, where Hunyuan-MT-7B ranked first in 30 out of 31 language pairs. Model Overview Hunyuan-MT-7B Hunyuan-MT-Chimera-7B […] The post Tencent Hunyuan Open-Sources Hunyua...| MarkTechPost
In this tutorial, we’ll walk through how to:Load and use a pre-trained router. Calibrate it for your own use case. Test routing prompts.| MarkTechPost
Graph-R1, an advanced agentic GraphRAG framework using hypergraph knowledge and reinforcement learning for accurate, efficient QA| MarkTechPost
Mixture-of-Experts MoE Architecture Comparison: Qwen3 30B-A3B vs. GPT-OSS 20B| MarkTechPost
We have been training language models (LMs) for years, but finding valuable resources about the data pipelines commonly used to build the datasets for training The post Large language model data pipelines and Common Crawl (WARC/WAT/WET) first appeared on Terra Incognita.| Terra Incognita
Discover Qwen3, Alibaba’s open-source thinking LLM. Switch between fast replies and chain-of-thought reasoning with 128 K context, and MoE efficiency.| LearnOpenCV – Learn OpenCV, PyTorch, Keras, Tensorflow with code, & tutorials
s1: A Simple Yet Powerful Test-Time Scaling Approach for LLMs| MarkTechPost
Learn about Large Language Models (LLMs) in this article, covering basics and advanced concepts for understanding.| Triple A Review