Practical course about Large Language Models.
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Updated
Oct 27, 2024 - Jupyter Notebook
Practical course about Large Language Models.
Unlocking the Power of Generative AI: In-Context Learning, Instruction Fine-Tuning and Reinforcement Learning Fine-Tuning.
Build a Multi-turn Conversations Chit-Chat Bot
This repository contains a collection of generative AI models and applications designed for various tasks such as text generation, image synthesis, and style transfer. The models leverage cutting-edge architectures like GPT, GANs, and VAEs, enabling users to explore different generative tasks.
An Efficient LLM Fine-Tuning Factory Optimized for MoE PEFT
practical projects using LLM, VLM and Diffusion models
Finetuning Large Language Models
Official code implemtation of paper AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
The transformation of education starts here! Where AI and educational robotics come together to provide the best learning experience.
In this repo I will share different topics on anything I want to know in nlp and llms
NTU Deep Learning for Computer Vision 2023 course
Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"
Test results of Kanarya and Trendyol models with and without fine-tuning techniques on the Turkish tweet hate speech detection dataset.
Institute Technical Summer Project -23/24
Fine-tuning an LLM to generate musical micro-genres
The task of this project is to Convert Natural Language to SQL Queries
PEFT and LoRA to fine-tune large language models for dialogue summarization, reducing computational resources for broader application.
My lab work of “Generative AI with Large Language Models” course offered by DeepLearning.AI and Amazon Web Services on coursera.
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