Browsing: AI & Robotics
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
By Vidya Saras
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
By Vidya Saras
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
By Vidya Saras
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
By Vidya Saras
Time series analysis faces significant hurdles in data availability, quality, and diversity, critical factors in developing effective foundation models. Real-world…
Taking out a loan to attend college is an investment in your future. But unlike in the United States, students…
This AI Paper Introduces the Kolmogorov-Test: A Compression-as-Intelligence Benchmark for Evaluating Code-Generating Language Models
By Vidya Saras
Compression is a cornerstone of computational intelligence, deeply rooted in the theory of Kolmogorov complexity, which defines the minimal program…
Around 11 billion tons of goods, or about 1.5 tons per person worldwide, are transported by sea each year, representing…