- Tue. Nov 26th, 2024
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KAIST AI Researchers Introduce KTRL+F: A Knowledge-Augmented in-Document Search Task that Necessitates Real-Time Identification of Semantic Targets within a Document
KTRL+F task is a knowledge-augmented in-document search problem that requires real-time identification of semantic targets within a document, incorporating external knowledge through a single natural query. Existing models face challenges…
Tencent AI Lab Introduces Chain-of-Noting (CoN) to Improve the Robustness and Reliability of Retrieval-Augmented Language Models
Tencent AI Lab researchers address challenges in the reliability of retrieval-augmented language models (RALMs), which may retrieve irrelevant information, leading to misguided responses. The proposed approach, CHAIN-OF-NOTING (CON), aims to…
Stanford University Researchers Introduce FlashFFTConv: A New Artificial Intelligence System for Optimizing FFT Convolutions for Long Sequences
Reasoning efficiently across extended sequences is a major difficulty in machine learning. Recently, convolutions have emerged as a critical primitive for sequence modeling, supporting state-of-the-art performance in language modeling, time-series…
Oxford University Study Shows Large Language Models (LLMs) Pose Risk to Science with False Answers
Large Language Models (LLMs) are generative AI models that power chatbots, such as Google Bard and OpenAI’s ChatGPT. There has been a meteoric rise in the use of LLMs over…
WiMi announced Interactive Holographic Assistant Based on AI
WiMi Hologram Cloud Inc. (NASDAQ: WIMI) (“WiMi” or the “Company”), a leading global Hologram Augmented Reality (“AR”) Technology provider, today announced that it unveiled its latest product: an interactive holographic assistant…
Microsoft recruits former OpenAI CEO Sam Altman and Co-Founder Greg Brockman
AI experts don’t stay jobless for long, as evidenced by Microsoft’s quick recruitment of former OpenAI CEO Sam Altman and Co-Founder Greg Brockman. Altman, who was recently ousted by OpenAI’s…
A New AI Research Releases SWIM-IR: A Large-Scale Synthetic Multilingual Retrieval Dataset with 28 Million Training Pairs over 33 Languages
Researchers from Google Research, Google DeepMind, and the University of Waterloo introduce SWIM-IR, a synthetic retrieval training dataset encompassing 33 languages, addressing the challenge of limited human-labeled training pairs in…
Researchers from the University of Toronto Unveil a Surprising Redundancy in Large Materials Datasets and the Power of Informative Data for Enhanced Machine Learning Performance
With the advent of AI, its use is being felt in all spheres of our lives. AI is finding its application in all walks of life. But AI needs data…
AR industry to benefit from Meta-MediaTek chip collaboration: GlobalData
Meta and MediaTek chipset collaboration will move augmented reality industry forward, says GlobalData Following the news that MediaTek and Meta Reality Labs have announced an exclusive partnership to develop custom…
AR industry to benefit from Meta-MediaTek collaboration: GlobalData
Meta and MediaTek chipset collaboration will move augmented reality industry forward, says GlobalData Following the news that MediaTek and Meta Reality Labs have announced an exclusive partnership to develop custom…