Portkey AI Open-Sourced AI Guardrails Framework to Enhance Real-Time LLM Validation, Ensuring Secure, Compliant, and Reliable AI Operations

Automate RAG evaluation without manual intervention. Understand RAG importance and its impact on production. Learn to generate a synthetic test set and compute RAG metrics using Ragas package. Navigate through the implementation details in the accompanying…

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…

30+ AI Tools For Startups in 2024 Discover how AI can redefine your company’s way of work. Identify Automation Opportunities: Locate key customer interaction points that can benefit from AI. Define KPIs: Ensure your AI endeavors…

Practical Solutions and Value of Generative AI Revolutionizing Natural Language Processing Generative Artificial Intelligence (GenAI), particularly large language models (LLMs) like ChatGPT, has transformed natural language processing (NLP). These models enhance customer service, virtual assistance, and…

The Screen Actors Guild-American Federation of Television and Radio Artists (SAG-AFTRA) has reached an agreement with the Alliance of Motion Picture and Television Producers (AMPTP), ending the 118-day strike. The details of the agreement are still…

The Rise of Cybersecurity Threats With the growing number of websites, cybersecurity threats are increasing significantly. Cyber-attacks are becoming more complex and frequent, putting network infrastructure and digital systems at risk. Unauthorized access and intrusive actions…

Introduction to Omni-RGPT Omni-RGPT is a cutting-edge multimodal large language model developed by researchers from NVIDIA and Yonsei University. It effectively combines vision and language to understand images and videos at a detailed level. Challenges in…

NVIDIA AI Introduces HOVER: A Revolutionary AI for Humanoid Robotics The field of robotics has made significant strides, particularly in the development of humanoid robots capable of performing complex tasks in various environments. These robots are…

Exciting news! 📣 “Re-imagining the opera of the future” takes center stage once again. 🎭✨ Composer Tod Machover’s groundbreaking opera, “VALIS,” inspired by Philip K. Dick’s science fiction novel, returns after 30 years, re-staged at MIT…

Google researchers are developing LLMs to better reason with graph information, which is pervasive and essential for advancing LLM technology. They introduced GraphQA, a benchmark for graph-to-text translation, to assess LLM performance on graph tasks and…

Researchers from Microsoft and ETH Zurich have released a dataset called “HoloAssist” to address the challenges of developing AI assistants for real-world tasks. The dataset contains extensive recordings of participants collaborating on physical manipulation tasks, capturing…

Practical Solutions and Value of weights2weights: A Subspace in Diffusion Weights Customized Diffusion Models for Identity Manipulation Generative models like GANs and Diffusion models encode visual concepts and allow controlled image edits, such as altering facial…

Revolutionizing AI Transparency and Reproducibility with Model Openness Framework (MOF) Challenges in AI Transparency and Reproducibility AI has transformed various sectors, but faces challenges in transparency and reproducibility, hindering trust and collaboration. Model Openness Framework (MOF)…

SecureLoop is an advanced design space exploration tool developed by researchers at MIT to address the security and performance requirements of deep neural network accelerators. By considering various elements such as computation, memory access, and cryptographic…

MIT researchers have developed a method called StableRep to address the scarcity of training data for AI image classifiers. They used a strategy called “multi-positive contrastive learning” to generate synthetic images that match a given text…

Understanding Long-Context Large Language Models (LLMs) Long-context LLMs are built to process large amounts of information effectively. With improved computing power, these models can handle various tasks, especially those requiring detailed knowledge through Retrieval Augmented Generation…