A Multimodal Approach to Convert Book Summaries into Artistic Book Covers
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Updated
Apr 18, 2024 - Jupyter Notebook
A Multimodal Approach to Convert Book Summaries into Artistic Book Covers
llama-2 model finetuned to generate docker commands
Lite Korean language model
Finetuning of Falcon-7b, ROC is an Average D&D player, present it a situation, it will explain the thought process of an average player.
fine-tuning framework
This repo contains everything about transformers and NLP.
Fine-tuned FLAN T-5 using Instruction Fine-Tuning (Full), LoRA-based PEFT, and RLHF with PPO
Colab notebook for finetuning Microsoft's Phi-2-3B LLM for solving mathematical word problems using QLoRA
This repository contains notebooks and resources related to the Software Development Group Project (SDGP) machine learning component. Specifically, it includes two notebooks used for creating a dataset and fine-tuning a Mistral-7B-v0.1-Instruct model.
From data gathering to productionizing LLMs using LLMOps good practices.
Just a copy from internet for the reference.
Caption-Studio: Unleash the power of cutting-edge language models and image recognition to effortlessly generate captivating captions for your images. Elevate your social media game with expertly crafted, attention-grabbing captions that perfectly complement your visuals.
Fine Tune technique exploration with the best ranked base models from Hugging Face
Implementation for fine-tuning a Falcon-7b model using QLoRA on the Spider dataset. The repository focuses on the task of converting natural language questions into SQL commands.
Our project addresses the challenge of multi-document summarization with Large Language Models (LLMs), which are constrained by token length limitations. We propose a novel approach that combines the strengths of LLMs and Maximal Marginal Relevance (MMR).
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