Large Language Model

Meet SelFee: An Iterative Self-Revising LLM Empowered By Self-Feedback Generation

A recent study has highlighted the effectiveness of natural language feedback in improving the performance of language models. A team of researchers from KAIST...

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...

This AI Research Dives Into The Limitations and Capabilities of Transformer Large Language Models (LLMs), Empirically and Theoretically, on Compositional Tasks

ChatGPT is trending, and millions of people are using it every day. With its incredible capabilities of imitating humans, such as question answering, generating...

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%...

Meet LLaMaTab: An Open-Source Chrome Extension that Runs an LLM Entirely in the Browser

LLaMaTab - An Insightful Chrome Extension A Chrome add-on called LLaMaTab New Tab will display a different image of a llama every time a new...

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...

Language Models Do Not Recognize Identifier Swaps in Python: This AI Paper Explores the Ability of LLMs to Predict the Correct Continuations of Fragments...

Pretrained Large Language Models (LLMs) are quickly taking over as the main paradigm for a wide range of linguistic activities, including creating and completing...

We know That LLMs Can Use Tools, But Did You Know They Can Also Make New Tools? Meet LLMs As Tool Makers (LATM): A...

Large language models (LLMs) have excelled in a wide range of NLP tasks and have shown encouraging evidence of achieving some features of artificial...

CMU Researchers Propose GILL: An AI Method To Fuse LLMs With Image Encoder And Decoder Models

With the release of OpenAI's new GPT 4, multimodality in Large Language Models has been introduced. Unlike the previous version, GPT 3.5, which is...

Meet LLMScore: A New LLM-based Instruction-Following Matching Pipeline to Evaluate the Alignment Between Text Prompts and Synthesized Images in Text-to-Image Synthesis

Text-to-image synthesis research has advanced significantly in recent years. However, assessment measures have lagged due to difficulties adapting assessments with different purposes, effectively capturing...

Recent articles

Be the first to know the latest AI research breakthroughs.

X