AI

Quantization is an essential technique in machine learning for compressing model data, which enables the efficient operation of large language models (LLMs)….

Large Language Models (LLMs) have emerged as powerful tools in natural language processing, yet understanding their internal representations remains a significant challenge….

Escalation in AI implies an increased infrastructure expenditure. The massive and multidisciplinary research exerts economic pressure on institutions as high-performance computing (HPC) …

In recent times, large language models (LLMs) built on the Transformer architecture have shown remarkable abilities across a wide range of tasks….

The Evidence Lower Bound (ELBO) is a key objective for training generative models like Variational Autoencoders (VAEs). It parallels neuroscience, aligning with…

The ability to generate accurate conclusions based on data inputs is essential for strong reasoning and dependable performance in Artificial Intelligence (AI)…

Multimodal Retrieval Augmented Generation (RAG) technology has opened new possibilities for artificial intelligence (AI) applications in manufacturing, engineering, and maintenance industries. These…

Promptfoo is a command-line interface (CLI) and library designed to enhance the evaluation and security of large language model (LLM) applications. It…

Natural Language Processing (NLP) focuses on building computational models to interpret and generate human language. With advancements in transformer-based models, large language…

In the rapidly evolving world of artificial intelligence and machine learning, the demand for powerful, flexible, and open-access solutions has grown immensely….