DiJiang: A Groundbreaking Frequency Domain Kernelization Method Designed to Address the Computational Inefficiencies Inherent in Traditional Transformer Models
Outstanding results in various tasks, including document generation/summarization, machine translation, and speech recognition, have propelled the Transformer architecture to the forefront of Natural Language Processing (NLP). Large language models (LLMs)…
Gradient AI announces Alan Sherman as Vice President of Marketing
Gradient AI, a leading enterprise software provider of artificial intelligence (AI) solutions in the insurance industry, today announcedthe appointment of Alan Sherman as vice president of marketing. With leadership and…
Ontra welcomes John Lofy as SVP of Customer Success
Ontra, the leading provider of AI-powered legal technology solutions for the world’s most prominent private markets firms, today announced the appointment of John Lofy as Senior Vice President of Customer Success. In…
Akooda launches its AI-powered Search Platform
Akooda, the world’s first operations intelligence platform, today launched the newest way to get the answers every company is looking for through its AI-powered Enterprise Search platform that allows any employee to…
Are We on the Right Way for Evaluating Large Vision-Language Models? This AI Paper from China Introduces MMStar: An Elite Vision-Dependent Multi-Modal Benchmark
Large vision language models (LVLMs) showcase powerful visual perception and understanding capabilities. These achievements have further inspired the research community to develop a variety of multi-modal benchmarks constructed to explore…
Salesforce AI Introduces Moira: A Cutting-Edge Time Series Foundation Model Offering Universal Forecasting Capabilities
A team of researchers from Salesforce AI has introduced Moirai to address the challenge of time series forecasting across various domains and frequencies, aiming to move toward a universal forecasting…
Anthropic Explores Many-Shot Jailbreaking: Exposing AI’s Newest Weak Spot
As the capabilities of large language models (LLMs) continue to evolve, so too do the methods by which these AI systems can be exploited. A recent study by Anthropic has…
Top Open Source Large Language Models (LLMs) Available For Commercial Use
The top open source Large Language Models available for commercial use are as follows. Llama – 2 Meta released Llama 2, a set of pretrained and refined LLMs, along with…
Researchers at Google DeepMind Present Gecko: A Compact and Versatile Embedding Model Powered by the Vast World Knowledge of LLMs
The efforts to create models that can understand and process text with human-like accuracy are ongoing in natural language processing. Among the famous challenges, one stands out: crafting models that…
DRAGIN: A Novel Machine Learning Framework for Dynamic Retrieval Augmentation in Large Language Models and Outperforming Conventional Methods
The Dynamic Retrieval Augmented Generation (RAG) paradigm aims to improve the performance of LLMs by determining when to retrieve external information and what to retrieve during text generation. Current methods…