Large Language Model

Person re-identification (ReID) aims to identify individuals across multiple non-overlapping cameras. The challenge of obtaining comprehensive datasets has driven the need for data augmentation, with generative adversarial networks (GANs) emerging as a promising solution. Techniques like GAN...
The scaling rule of language models has produced success like never before. These huge language models have gotten novel emerging capabilities in addition to demonstrating tremendous superiority over earlier paradigms for many disciplines when trained on...

Meet CodePlan: A Task-Agnostic AI Framework For Repository-Level Coding Using Large Language Models (LLMs) And Planning

A revolution in the field of coding work automation has been brought about by introducing Large Language Models (LLMs), such as GPT-3. These models...

Researchers from the University of Washington and Google have Developed Distilling Step-by-Step Technology to Train a Dedicated Small Machine Learning Model with Less Data

In recent years, large language models (LLMs) have revolutionized the field of natural language processing, enabling unprecedented zero-shot and few-shot learning capabilities. However, their...

This AI Paper Introduces the COVE Method: A Novel AI Approach to Tackling Hallucination in Language Models Through Self-Verification

A large corpus of text documents containing billions of text tokens is used to train large language models (LLMs). It has been demonstrated that...

Researchers from MIT and CUHK Propose LongLoRA (Long Low-Rank Adaptation), An Efficient Fine-Tuning AI Approach For Long Context Large Language Models (LLMs)

The introduction of Large language models (LLMs) has brought a significant level of advancement in the field of Artificial Intelligence. Based on the concepts...

Meet LMSYS-Chat-1M: A Large-Scale Dataset Containing One Million Real-World Conversations with 25 State-of-the-Art LLMs

Large language models (LLMs) have become integral to various AI applications, from virtual assistants to code generation. Users adapt their behavior when engaging with...

Tsinghua University Researchers Introduce OpenChat: A Novel Artificial Intelligence AI Framework Enhancing Open-Source Language Models with Mixed-Quality Data

In the fast-evolving field of natural language processing, the capabilities of large language models have grown exponentially. Researchers and organizations worldwide are continually pushing...

This AI Paper from Microsoft Introduces a New Approach to Training Language Models: Mimicking Human Reading Comprehension for Enhanced Performance in Biomedicine, Finance, and...

Domain-specific big language models have emerged due to the oversaturation of general large language models (LLMs). Three main categories may be used to group...

Meet OpenCopilot: Create Custom AI Copilots for Your Own SaaS Product (like Shopify Sidekick)

An AI Copilot is an artificial intelligence system that assists developers, programmers, or other professionals in various tasks related to software development, coding, or...

OpenAI’s ChatGPT Unveils Voice and Image Capabilities: A Revolutionary Leap in AI Interaction

OpenAI, the trailblazing artificial intelligence company, is poised to revolutionize human-AI interaction by introducing voice and image capabilities in ChatGPT. This significant upgrade offers...

This AI Research from Apple Investigates a Known Issue of LLMs’ Behavior with Respect to Gender Stereotypes

Large language models (LLMs) have made tremendous strides in the last several months, crushing state-of-the-art benchmarks in many different areas. There has been a...

Are Large Language Models Really Good at Generating Complex Structured Data? This AI Paper Introduces Struc-Bench: Assessing LLM Capabilities and Introducing a Structure-Aware Fine-Tuning...

Large Language Models (LLMs) have made significant progress in text creation tasks, among other natural language processing tasks. One of the fundamental components of...

This AI Research Proposes LayoutNUWA: An AI Model that Treats Layout Generation as a Code Generation Task to Enhance Semantic Information and Harnesses the...

With the growth of LLMs, there has been thorough research on all aspects of LLMs. So, there have been studies on graphic layout, too....

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