Large Language Model

Google Researchers Introduce StyleDrop: An AI Method that Enables the Synthesis of Images that Faithfully Follow a Specific Style Using a Text-to-Image Model

A group of researchers from Google have recently unveiled StyleDrop, an innovative neural network developed in collaboration with Muse's fast text-to-image model. This groundbreaking...

Meet STEVE-1: An Instructable Generative AI Model For Minecraft That Follows Both Text And Visual Instructions And Only Costs $60 To Train

Powerful AI models may now be operated and interacted with via language commands, making them widely available and adaptable. Stable Diffusion, which transforms natural...

This AI Paper Proposes A Self-Supervised Music Understanding Model Called MERT That Attains Overall SOTA Performance on 14 MIR Tasks

Self-supervised learning is being prominently used in Artificial Intelligence to develop intelligent systems. The transformer models like BERT and T5 have recently got popular...

Meet mmT5: A Modular Multilingual Sequence-To-Sequence Model That Outperforms mT5

Pre-trained models that speak many languages have performed excellently on natural language interpretation challenges. Large volumes of unlabeled data in hundreds of languages are...

Model Collapse: The Hidden Threat to LLMs and How to Keep AI Rea

With the craze of LLMs, such as widely popular GPT engines, every company, big or small, is in the race to either develop a...

Salesforce AI Research Introduces CodeTF: A One-Stop Transformer Library For Code Large Language Models (CodeLLM)

Over the past few years, AI has caused seismic shifts in the software engineering industry. Basic source code analysis is at the heart of...

Meet GPTutor: A ChatGPT-Powered Programming Tool For Code Explanation Provided As A VSCode Extension

In recent years, the need for competent programmers has increased the number of people learning to code. However, a teacher shortage makes it difficult...

Say Goodbye to Costly Auto-GPT and LangChain Runs: Meet ReWOO – The Game-Changing Modular Paradigm that Cuts Token Consumption by Detaching Reasoning from External...

Large Language Models (LLMs) have successfully catered their way into the challenging areas of Artificial Intelligence. With their amazing ability to produce unique and...

Meet PLASMA: A Novel Two-Pronged AI Approach To Endow Small Language Models With Procedural Knowledge And (Counterfactual) Planning Capabilities

Large language models (LLMs) excel at many downstream tasks that call for common sense, thanks to their vast size. One such activity is procedural...

How Should We Maximize the Planning Ability of LLMs While Reducing the Computation Cost? Meet SwiftSage: A Novel Generative Agent for Complex Interactive Reasoning...

Artificial Intelligence is rapidly popularizing and for all good reasons. With the introduction of Large Language Models like GPT, BERT, and LLaMA, almost every...

Stanford and Google Researchers Propose DoReMi: An AI Algorithm Reweighting Data Domains for Training Language Models

Datasets are often drawn from various domains while training language models (LMs). For instance, a sizable publicly accessible dataset called The Pile has 24%...

How to Keep Scaling Large Language Models when Data Runs Out? A New AI Research Trains 400 Models with up to 9B Parameters and...

Large Language Models (LLMs), the deep learning-based highly efficient models, are the current trend in the Artificial Intelligence community. The well-known chatbot developed by...

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