Artificial Language Luminary (ALL) is an open source Large Language Model (LLM), that runs on data collected from searches on Omega Search Engine. (Beta Version)

[ICPR 2024] The official repo for FIDAVL: Fake Image Detection and Attribution using Vision-Language Model

QAYPD(Question-Answer Your Personal Documents), an AI tool to help you answer questions related to your personal documents quickly via leveraging the computational capabilities of OpenAI's GPT LLM (Large Language Model).

Experiments with Harmony

LangSphere is an interactive AI playground specially developed to demonstrate the capabilities of large language models (LLMs) within the realm of Augmented Analytics.

Prompt-engineered GPT3.5 for roasting users like a close friend

This is an eldritch project to resurrect the man himself using retrieval augmented generation on his letters

Deploy Large Models on AWS Inferentia (Inf2) instances.

Question and Answer LLM Wrapper

The open-source repository llm.gallery aggregates research & development content about Large Language Models (LLMs). Explore curated academic papers, community contributions, and educational content on LLM and related topics.

Introduction to the Harmony project

How to use Large Language Model for Sentiment Analysis

A wiki about large language models.

LLM-based for highly remote sensing data imputation

A comprehensive collection of multilingual datasets and large language models, meticulously curated for evaluating and enhancing the performance of large language models across diverse languages and tasks.

This project utilizes a machine learning model where consumer brand data is employed. Initially, a preliminary model is developed, followed by a refined model using a process called 'fine-tuning' to improve results. Additionally, a comprehensive testing suite has been created to validate accuracy and reliability of the model's predictions.

Benchmarking Large Language Model (LLM) Performance for Game Playing via Tic-Tac-Toe

Exploring building an application in which an LLM can be prompted with the addition of context from a customly managed knowledge bank of data.

Chat with your favorite AI Assistant directly from the comfort of your terminal.