Browsing: AI & Robotics
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…
Multimodal Large Language Models (MLLMs) have advanced the integration of visual and textual modalities, enabling progress in tasks such as…
In February 2024, Reddit struck a $60 million deal with Google to let the search giant use data on the…
Meta AI Proposes Multi-Token Attention (MTA): A New Attention Method which Allows LLMs to Condition their Attention Weights on Multiple Query and Key Vectors
Large Language Models (LLMs) significantly benefit from attention mechanisms, enabling the effective retrieval of contextual information. Nevertheless, traditional attention methods…
Pattie Maes, the Germeshausen Professor of Media Arts and Sciences at MIT and head of the Fluid Interfaces research group within the…
A Code Implementation of Using Atla’s Evaluation Platform and Selene Model via Python SDK to Score Legal Domain LLM Outputs for GDPR Compliance
In this tutorial, we demonstrate how to evaluate the quality of LLM-generated responses using Atla’s Python SDK, a powerful tool…
For this computer scientist, MIT Open Learning was the start of a life-changing journey | MIT News
As a college student in Serbia with a passion for math and physics, Ana Trišović found herself drawn to computer…
Empowering Time Series AI: How Salesforce is Leveraging Synthetic Data to Enhance Foundation Models
Time series analysis faces significant hurdles in data availability, quality, and diversity, critical factors in developing effective foundation models. Real-world…