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)
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Updated
Nov 28, 2023 - C
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)
Code for "Neural Retrievers are Biased Towards LLM-Generated Content"
✨ NovelAI api python sdk, easy to use, modern and user-friendly.
Vision-Language Large Model Incremental Learning(VLLM-IL)
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).
It is a comprehensive resource hub compiling all LLM papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
A curated list of awesome resources, tools, research papers, and projects related to the concept of Large Language Model Operating Systems (LLM-OS).
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration
Local AI Open Orca For Dummies is a user-friendly guide to running Large Language Models locally. Simplify your AI journey with easy-to-follow instructions and minimal setup. Perfect for developers tired of complex processes!
[ICPR 2024] The official repo for FIDAVL: Fake Image Detection and Attribution using Vision-Language Model
A rust voice assistant which is was made to be easy to set up, customize and learn from.
WebUI LLM Japanese chatbot demo using Intel OpenVINO toolkit. This program uses rinna/youri-7b-chat model developed by Rinna Co.,Ltd..
[CVPR Workshop 2024 Oral] DTLLM-VLT: Diverse Text Generation for Visual Language Tracking Based on LLM
Natural Language Processing (NLP)
Classification of Imbalanced Data with Large Language Model (Google T5)
Ruby library for PromptJoy
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FLARES: FINE-GRAINED LANGUAGE-BASED RELIABILITY DETECTION IN SPANISH NEWS
Data anonymization package, supporting different anonymization strategies
Building my first large language model from scratch
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