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)
Vision-Language Large Model Incremental Learning(VLLM-IL)
Code for "Neural Retrievers are Biased Towards LLM-Generated Content"
✨ NovelAI api python sdk, easy to use, modern and user-friendly.
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.
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).
A curated list of awesome resources, tools, research papers, and projects related to the concept of Large Language Model Operating Systems (LLM-OS).
It is a comprehensive resource hub compiling all LLM papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration
WebUI LLM Japanese chatbot demo using Intel OpenVINO toolkit. This program uses rinna/youri-7b-chat model developed by Rinna Co.,Ltd..
Classification of Imbalanced Data with Large Language Model (Google T5)
Natural Language Processing (NLP)
[CVPR Workshop 2024 Oral] DTLLM-VLT: Diverse Text Generation for Visual Language Tracking Based on LLM
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
Cooking Recipe MRC using PEFT techniques
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