Reprompt AI: An AI Startup that is Speeding Up the Road to Production-Ready Artificial Intelligence
Although AI is a rapidly growing industry, there are often many obstacles on the path from groundbreaking research to practical applications. Raising the quality of AI models to that of…
Common Corpus: A Large Public Domain Dataset for Training LLMs
In the dynamic landscape of Artificial Intelligence, a longstanding debate questions the need for copyrighted materials in training top AI models. OpenAI’s bold assertion to the UK Parliament in 2023…
CPU vs GPU for Running LLMs Locally
Researchers and developers need to run large language models (LLMs) such as GPT (Generative Pre-trained Transformer) efficiently and quickly. This efficiency heavily depends on the hardware used for training and…
Google DeepMind Researchers Introduce TacticAI: A New Deep Learning System that is Reinventing Football Strategy
Football has always been a game of tactical brilliance and strategic genius. From the dugouts of your local parks to the hallowed turf of the biggest stadiums, coaches are constantly…
RankPrompt: Revolutionizing AI Reasoning with Autonomous Evaluation with Improvement in Large Language Model Accuracy and Efficiency
The relentless pursuit of refining artificial intelligence has led to the creation of sophisticated Large Language Models (LLMs) such as GPT-3 and GPT-4, significantly expanding the boundaries of machine understanding…
HyperGAI Introduces HPT: A Groundbreaking Family of Leading Multimodal LLMs
HyperGAI researchers have developed Hyper Pretrained Transformers (HPT) a multimodal language model that can handle different types of inputs such, as text, images, videos, and more. Traditional LLMs have achieved…
Data Distillation Meets Prompt Compression: How Tsinghua University and Microsoft’s LLMLingua-2 Is Redefining Efficiency in Large Language Models Using Task-Agnostic Techniques
In a collaborative effort that underscores the importance of interdisciplinary research, Tsinghua University and Microsoft Corporation researchers have unveiled LLMLingua-2. This groundbreaking study delves into language model efficiency, aiming to…
IBM’s Alignment Studio to Optimize AI Compliance for Contextual Regulations
Aligning large language models (LLMs) involves tuning them to desired behaviors, termed ‘civilizing’ or ‘humanizing.’ While model providers aim to mitigate common harms like hate speech and toxicity, comprehensive alignment…
Amazon AI Introduces DataLore: A Machine Learning Framework that Explains Data Changes between an Initial Dataset and Its Augmented Version to Improve Traceability
Data scientists and engineers frequently collaborate on machine learning ML tasks, making incremental improvements, iteratively refining ML pipelines, and checking the model’s generalizability and robustness. There are major worries about…
Researchers at Microsoft Introduce Garnet: An Open-Source and Faster Cache-Store System for Accelerating Applications and Services
To meet the significantly growing need for more effective data storage options amid the swift development of interactive web apps and services, a team of researchers from Microsoft has released…