This article will teach you about self-attention mechanisms used in transformer architectures and large language models (LLMs) such as GPT-4 and Llama. Self-attention and related mechanisms are core components of LLMs, making them a useful topic to understand when working…
Posted by Alan Karthikesalingam and Vivek Natarajan, Research Leads, Google Research The physician-patient conversation is a cornerstone of medicine, in which skilled and intentional communication drives diagnosis, management, empathy and trust. AI systems capable of such diagnostic dialogues could increase…
Pol, M. & Ruegg, P. L. Treatment practices and quantification of antimicrobial drug usage in conventional and organic dairy farms in Wisconsin. J. Dairy Sci. 90, 249–261 (2007). Article CAS PubMed Google Scholar Suojala, L., Kaartinen, L. & Pyörälä, S.…
Posted by Gladys Tyen, Intern, Google Research LLMs are increasingly popular for reasoning tasks, such as multi-turn QA, task completion, code generation, or mathematics. Yet much like people, they do not always solve problems correctly on the first try, especially…
The advent of large language models (LLMs) has revolutionized human-machine interactions, particularly in natural language understanding and generation applications. These AI- or LLM-backed virtual assistants hold the promise of serving as intelligent agents capable of autonomously reasoning, observing, and performing…
Ally Financial, the largest digital-only bank in the US and a leading auto lender, has recently collaborated with LangChain to release the first initial coding module that addresses a significant challenge for AI developers working with personal identifiable information (PII)…
Data Table 4 describes the patient populations of the datasets used in this study. Gender and race/ethnicity data and descriptors were collected from the EHR. These are generally collected either directly from the patient at registration, or by a provider,…
Editor’s note: All papers referenced here represent collaborations throughout Microsoft and across academia and industry that include authors who contribute to Aether, the Microsoft internal advisory body for AI ethics and effects in engineering and research. A surge of generative…
Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. NEW RESEARCH Mixture-of-Linear-Experts for Long-term Time Series Forecasting Long-term time series forecasting (LTSF),…
image created by Lexica AI quick hands-on tutorial In this guide, we’ll explore the Assistant APIs from OpenAI. We will learn about the primary features of the Assistants API, including the Code Interpreter, Knowledge Retrieval, and Function Calling capabilities. This…
Data collection We collected 3D marker trajectories using a ten-camera motion capture system (Qualisys AB, Gothenburg, SE) and GRFs using an instrumented treadmill (Bertec Inc., Columbus, USA) in twelve unimpaired adults (6 M/6F; age = 23.9 ± 1.8 years; height = 1.69 ± 0.10 m; mass = 66.5 ± 11.7 kg) and one stroke survivor with…
In an effort to make the internet more accessible for people with disabilities, researchers at The Ohio State University have begun developing an artificial intelligence agent that could complete complex tasks on any website using simple language commands. In the…