Browsing: AI & Robotics
A Coding Implementation for Advanced Multi-Head Latent Attention and Fine-Grained Expert Segmentation
In this tutorial, we explore a novel deep learning approach that combines multi-head latent attention with fine-grained expert segmentation. By…
Imagine a coffee company trying to optimize its supply chain. The company sources beans from three suppliers, roasts them at…
Google AI Introduce the Articulate Medical Intelligence Explorer (AMIE): A Large Language Model Optimized for Diagnostic Reasoning, and Evaluate its Ability to Generate a Differential Diagnosis
Developing an accurate differential diagnosis (DDx) is a fundamental part of medical care, typically achieved through a step-by-step process that…
Data privacy comes with a cost. There are security techniques that protect sensitive user data, like customer addresses, from attackers…
This AI Paper Introduces a Machine Learning Framework to Estimate the Inference Budget for Self-Consistency and GenRMs (Generative Reward Models)
Large Language Models (LLMs) have demonstrated significant advancements in reasoning capabilities across diverse domains, including mathematics and science. However, improving…
The process of discovering molecules that have the properties needed to create new medicines and materials is cumbersome and expensive,…
A Code Implementation to Use Ollama through Google Colab and Building a Local RAG Pipeline on Using DeepSeek-R1 1.5B through Ollama, LangChain, FAISS, and ChromaDB for Q&A
In this tutorial, we’ll build a fully functional Retrieval-Augmented Generation (RAG) pipeline using open-source tools that run seamlessly on Google…
Renewable power sources have seen unprecedented levels of investment in recent years. But with political uncertainty clouding the future of…
Anthropic’s Evaluation of Chain-of-Thought Faithfulness: Investigating Hidden Reasoning, Reward Hacks, and the Limitations of Verbal AI Transparency in Reasoning Models
A key advancement in AI capabilities is the development and use of chain-of-thought (CoT) reasoning, where models explain their steps…
New method assesses and improves the reliability of radiologists’ diagnostic reports | MIT News
Due to the inherent ambiguity in medical images like X-rays, radiologists often use words like “may” or “likely” when describing…