Zendata Unveils Groundbreaking AI Governance and Data Privacy Solution
Zendata launches comprehensive platform for AI model and data usage scanning, enhancing governance, bias detection, and compliance across enterprise AI ecosystems Zendata, the leading provider of data privacy and AI…
Darts: A New Python Library for User-Friendly Forecasting and Anomaly Detection on Time Series
Time series data, representing observations recorded sequentially over time, permeate various aspects of nature and business, from weather patterns and heartbeats to stock prices and production metrics. Efficiently processing and…
Meet Torchchat: A Flexible Framework for Accelerating Llama 3, 3.1, and Other Large Language Models Across Laptop, Desktop, and Mobile
The quick development of Large Language Models (LLMs) has had a big impact on a number of different domains, like generative AI, Natural Language Understanding, and Natural Language Processing. However,…
How Important is the Reference Model in Direct Preference Optimization DPO? An Empirical Study on Optimal KL-Divergence Constraints and Necessity
Direct Preference Optimization (DPO) is an advanced training method to fine-tune large language models (LLMs). Unlike traditional supervised fine-tuning, which depends on a single gold reference, DPO trains models to…
Introducing JCDS and JWDS: Novel Approaches for Dense Subgraph Detection in Temporal Graphs
Early work established polynomial-time algorithms for finding the densest subgraph, followed by explorations of size-constrained variants and extensions to multiple graph snapshots. Researchers have also investigated overlapping dense subgraphs and…