Rezonate Unveils Zoe: The AI Assistant for Identity Security
Generative AI-Powered Assistant Highlights Company’s Mission to Solve Identity Security Challenges with Advanced AI and Analytics Capabilities Zoe provides AI-augmented identity security to help IAM and security teams get ahead…
6 Statistical Methods for A/B Testing in Data Science and Data Analysis
A/B testing is a cornerstone of data science, essential for making informed business decisions and optimizing customer revenue. Here, we delve into six widely used statistical methods in A/B testing,…
Top TensorFlow Courses
TensorFlow is a powerful open-source framework for building and deploying machine learning models. Learning TensorFlow enables you to create sophisticated neural networks for tasks like image recognition, natural language processing,…
Hazelcast’s AI Core Now Includes Vector Search Capabilities
Hazelcast Platform 5.5 delivers advanced query, compute capabilities to power AI and mission-critical applications Hazelcast, Inc. is announcing the introduction of vector search in the latest release of its flagship…
Stumpy: A Powerful and Scalable Python Library for Modern Time Series Analysis
Time series data is used globally across various domains, including finance, healthcare, and sensor networks. Identifying patterns and anomalies within this data is crucial for several tasks like anomaly detection,…
Researchers at Stanford Present RelBench: An Open Benchmark for Deep Learning on Relational Databases
Relational databases are integral to many digital systems, providing structured data storage across various sectors, such as e-commerce, healthcare, and social media. Their table-based structure simplifies maintenance and data access…
Zamba2-2.7B Released: A State-of-the-Art Small Language Model Achieving Twice the Speed and 27% Reduced Memory Overhead
Zyphra’s release of Zamba2-2.7B marks a pivotal moment in developing small language models, demonstrating a significant advancement in efficiency and performance. The model is trained on a substantial enough dataset…
This AI Paper Presents a Survey of the Current Methods Used to Achieve Refusal in LLMs: Provide Evaluation Benchmarks and Metrics Used to Measure Abstention in LLMs
Prior work on abstention in large language models (LLMs) has made significant strides in query processing, answerability assessment, and handling misaligned queries. Researchers have explored methods to predict question ambiguity,…
rLLM (relationLLM): A PyTorch Library Designed for Relational Table Learning (RTL) with Large Language Models (LLMs)
Large language models (LLMs) have emerged as powerful tools in artificial intelligence, demonstrating remarkable capabilities in understanding and generating text. These models utilize advanced technologies such as web-scale unsupervised pretraining,…
DataBee™ Introduces a Gen AI Powered Chatbot
BeeKeeper AI helps eliminate IT operations, security and compliance gaps while freeing up valuable staff time DataBee, fromComcast Technology Solutions (CTS), today announced a new generative AI-based chatbot called BeeKeeper AI,…