IBM’s Alignment Studio to Optimize AI Compliance for Contextual Regulations

Meet Lytix: An AI Platform for Your LLM Stack Product insights & monitoring, testing, end-to-end analytics, and errors are four of the most difficult LLMs to monitor and test. Teams mostly waste weeks of dev time…

Practical Solutions and Value Enhancing Research Idea Generation with AI Discover how AI can redefine your way of work. Identify Automation Opportunities: Locate key customer interaction points that can benefit from AI. Define KPIs: Ensure your…

Medical AI, through multilingual models like Apollo, aims to transform healthcare by improving diagnosis accuracy, tailoring treatments, and extending medical knowledge access to diverse linguistic populations. Apollo’s innovative approach and exceptional performance set new standards, overcoming…

The Evolution of the GPT Series: A Deep Dive into Technical Insights and Performance Metrics GPT-1: The Beginning GPT-1 marked the inception of the series, showcasing the power of transfer learning in NLP by fine-tuning pre-trained…

Recent research by EPFL and Meta introduces the Chain-of-Abstraction (CoA) reasoning method for large language models (LLMs) to enhance multi-step reasoning by efficiently leveraging tools. The method separates general reasoning from domain-specific knowledge, yielding a 7.5%…

Open Contracts: The Free and Open Source Document Analytics Platform Empower Your Document Analytics with Open Contracts Managing, analyzing, and extracting data from large volumes of documents can be challenging. Open Contracts democratizes document analytics by…

Practical Solutions and Value of ChatQA 2: A Llama3-based Model Enhanced Long-Context Understanding and RAG Capabilities Long-context understanding and retrieval-augmented generation (RAG) in large language models (LLMs) are crucial for tasks such as document summarization, conversational…

NVIDIA unveiled new GPUs, graphics cards, and developer tools at CES, targeting AI models and applications on local devices. The focus shifts to powering generative AI on laptops and PCs with GeForce RTX SUPER desktop GPUs.…

Summary: The article discusses the tension between data scientists’ desire for large volumes of data and the need for data privacy and security. It emphasizes the importance of finding a middle ground in data retention and…

Practical AI Solutions for Speech Processing Enhancing Human-Computer Interaction Large language models (LLMs) excel in natural language tasks but struggle with non-textual data like images and audio. Incorporating speech comprehension improves human-computer interaction. Integrating Textual LLMs…

The text explores SAC’s groundbreaking role as a data-driven social enterprise. For more information, kindly refer to the full article on Towards Data Science.

Language models like GPT-4, which are part of the field of Artificial Intelligence, have gained popularity due to their remarkable capabilities in various fields. These models excel in tasks such as coding, mathematics, law, and understanding…

UC Berkeley researchers have developed LLMCompiler, a framework that improves the efficiency and accuracy of multi-function tasks in LLMs through parallel function calls. It outperforms existing solutions, displaying consistent latency speedup and accuracy improvement. The open-source…

Challenges with Large Language Models (LLMs) Large Language Models (LLMs) struggle to improve reasoning due to a need for more high-quality training data. To address this, exploration-based methods like reinforcement learning (RL) provide a better path…

Understanding Multimodal Reasoning Multimodal reasoning integrates visual and textual data to enhance machine intelligence. Traditional AI models are proficient in processing either text or images, but they often struggle to reason across both formats. Analyzing visual…

Introduction to MAPS: A New Era in Test Case Generation With the rise of Artificial Intelligence (AI), the software industry is now utilizing Large Language Models (LLMs) for tasks like code completion and debugging. However, traditional…

Accelerating Generative AI Inference Speed with NVIDIA TensorRT Model Optimizer Generative AI, while powerful, faces challenges with slow inference speed in real-world applications. This impacts user experiences, turnaround times, and scalability. NVIDIA addresses these challenges with…