In recent times, Large Language Models (LLMs) have evolved and transformed Natural Language Processing with their few-shot prompting techniques.  These models have extended their usability in almost...

A pytorch quantization backend for optimum. Contribute to huggingface/optimum-quanto development by creating an account on GitHub.

The performance of large language models (LLMs) has been impressive across many different natural language processing (NLP) applications. In recent studies, LLMs have been proposed as task-specific...

Large Language Models (LLMs) are pivotal in advancing natural language processing tasks due to their profound understanding and generation capabilities. These models are constantly refined to better...

TensorRT Model Optimizer is a unified library of state-of-the-art model optimization techniques such as quantization, pruning, distillation, etc. It compresses deep learning models for downstream d...

Researchers are considering the fusion of large language models (LLMs) with AI agents as a significant leap forward in AI. These enhanced agents can now process information, interact with their...

Over the past few years, large language models have garnered significant attention from researchers and common individuals alike because of their impressive capabilities. These models, such as GPT-3,...

The transformer model has emerged as a cornerstone technology in AI, revolutionizing tasks such as language processing and machine translation. These models allocate computational resources uniformly...

Nature - Prov-GigaPath, a whole-slide pathology foundation model pretrained on a large dataset containing around 1.3 billion pathology images, attains state-of-the-art performance in cancer...

In the evolving field of Retrieval-Augmented Generation (RAG), the quest for refining question-answering (QA) capabilities remain at the forefront of research. Integrating external knowledge bases...

Modern large language models (LLMs) have excellent performance on code reading and generation tasks, allowing more people to enter the once-mysterious field of computer programming. Architecturally,...

What is CopilotKit? CopilotKit is an open-source framework designed to facilitate the integration of AI into applications. With 4.4k+💫Git Stars, it has received great appreciation within the...

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 tinkering with...

Graph Transformers (GTs) have successfully achieved state-of-the-art performance on various platforms. GTs can capture long-range information from nodes that are at large distances, unlike the local...

With a nuanced scope of application, because of the amount of information it has been exposed and trained to, Large Language Models (LLMs) have emerged as game changers in Artificial Intelligence...

The software development sector stands at the dawn of a transformation powered by artificial intelligence (AI), where AI agents perform development tasks. This transformation is not just about...

Large language models (LLMs) have revolutionized natural language processing (NLP) by achieving remarkable performance across tasks such as text generation, translation, sentiment analysis, and...

Taipy is an innovative open-source tool designed to streamline the creation, management, and execution of data-driven pipelines with minimal coding effort. With an astounding 7.2k+💫Git Stars, it has...

Retrieval-Augmented Generation (RAG) is emerging as a pivotal technology in large language models (LLMs). It aims to enhance accuracy by integrating externally retrieved information with pre-existing...

Large language models (LLMs) are the backbone of numerous computational platforms, driving innovations that impact a broad spectrum of technological applications. These models are pivotal in proces...

In recent years, there has been a growing interest in using machine learning techniques for the estimation of treatment effects. Most of the best-performing methods rely on representation learning...

In recent years, LLMs have transitioned from research tools to practical applications, largely due to their increased scale during training. However, as most of their computational resources are...

This repository contains the official implementation of the research paper, "MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training" CVPR 2024 - apple/ml-mobileclip

Unified framework for building enterprise RAG pipelines with small, specialized models - llmware-ai/llmware

Large Language Models (LLMs) stand out for their ability to parse and generate human-like text across various applications. These models have become integral to technologies that automate and enhance...