Browsing: AI & Robotics
Google Releases FRAMES: A Comprehensive Evaluation Dataset Designed to Test Retrieval-Augmented Generation (RAG) Applications on Factuality, Retrieval Accuracy, and Reasoning
Retrieval-augmented generation (RAG) has been a transformative approach in natural language processing, combining retrieval mechanisms with generative models to enhance…
Have you ever wanted to travel through time to see what your future self might be like? Now, thanks to…
VectorSearch: A Comprehensive Solution to Document Retrieval Challenges with Hybrid Indexing, Multi-Vector Search, and Optimized Query Performance
The field of information retrieval has rapidly evolved due to the exponential growth of digital data. With the increasing volume…
Imagine having to straighten up a messy kitchen, starting with a counter littered with sauce packets. If your goal is…
MassiveDS: A 1.4 Trillion-Token Datastore Enabling Language Models to Achieve Superior Efficiency and Accuracy in Knowledge-Intensive NLP Applications
Language models have become a cornerstone of modern NLP, enabling significant advancements in various applications, including text generation, machine translation,…
This summer, 350 participants came to MIT to dive into a question that is, so far, outpacing answers: How can…
ReliabilityBench: Measuring the Unpredictable Performance of Shaped-Up Large Language Models Across Five Key Domains of Human Cognition
The research evaluates the reliability of large language models (LLMs) such as GPT, LLaMA, and BLOOM, extensively used across various…
A new, multidisciplinary MIT graduate program in music technology and computation will feature faculty, labs, and curricula from across the Institute.The…
Microsoft Researchers Introduce Advanced Query Categorization System to Enhance Large Language Model Accuracy and Reduce Hallucinations in Specialized Fields
Large language models (LLMs) have revolutionized the field of AI with their ability to generate human-like text and perform complex…
New security protocol shields data from attackers during cloud-based computation | MIT News
Deep-learning models are being used in many fields, from health care diagnostics to financial forecasting. However, these models are so…