Large Language Model

The Emergence of Stacking: How is the Self-Referential Nature of Stacking in Large Language Models Transforming the Artificial Intelligence (AI) Industry?

The AI industry is evolving and coming up with new and unique research and models daily. Whether we talk about healthcare, education, retail, marketing,...

Hugging Face Introduces StackLLaMA: A 7B Parameter Language Model Based on LLaMA and Trained on Data from Stack Exchange Using RLHF

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

Meet SparseFormer: A Neural Architecture for Sparse Visual Recognition with Limited Tokens

Developing neural networks for visual recognition has long been a fascinating but difficult subject in computer vision. Newly suggested vision transformers replicate the human...

Do Models like GPT-4 Behave Safely When Given the Ability to Act?: This AI Paper Introduces MACHIAVELLI Benchmark to Improve Machine Ethics and Build...

Natural language processing is one area where AI systems are making rapid strides, and it is important that the models need to be rigorously...

A New AI Research Integrates Masking into Diffusion Models to Develop Diffusion Masked Autoencoders (DiffMAE): A Self-Supervised Framework Designed for Recognizing and Generating Images...

There has been a long-standing desire to provide visual data in a way that allows for deeper comprehension. Early methods used generative pretraining to...

Stability AI Releases SDXL (Stable Diffusion XL) Beta

The beta version of Stability AI's latest model, SDXL, is now available for preview (Stable Diffusion XL Beta). They could have provided us with...

Meet LMQL: An Open Source Programming Language and Platform for Large Language Model (LLM) Interaction

Large Language Models have taken the Artificial Intelligence community by storm. Their recent impact has helped contribute to a wide range of industries like...

GPT-4 Takes the Lead in Instruction-Tuning of Large Language Models: Advancing Generalization Capabilities for Real-World Tasks

The outstanding generalization skills of Large Language Models (LLMs), such as in-context learning and chain-of-thoughts reasoning, have been demonstrated. Researchers have been looking towards...

Enhancing AI’s Emotional Intelligence: The Role of Psychotherapy in Developing Healthy Language Models

The emergence of publicly accessible chatbots capable of engaging in humanlike conversations has brought AI into the public spotlight, with reactions ranging from amazement...

Meet Auto-GPT: An Experimental Open-Source Application Showing the Power of LLMs like GPT-4 to Autonomously Develop and Manage Different Kinds of Tasks

Toran Bruce Richards, founder of Significant Gravitas, along with a group of developers, explores what could be accomplished by combining LLMs with other high-powered...

A New AI Research Proposes Pythia: A Suite of Decoder-Only Autoregressive Language Models Ranging from 70M to 12B Parameters

Transformer-based models are one of the most advanced and sophisticated classes of models present in the current day. It is plausible to infer that...

Recursive Criticism and Improvement (RCI) Prompting: An Approach to Improve Large Language Models (LLMs) in Computer and Reasoning Tasks

Large Language Models are getting better with every new development in the Artificial Intelligence industry. With each modification and version, LLMs are becoming more...

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