My personal notes, code and projects of the Udacity Generative AI Nanodegree.
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Updated
Mar 21, 2024
My personal notes, code and projects of the Udacity Generative AI Nanodegree.
Natural Language Processing Class Project - Spring '23. Analysing and Generating Sports Fans Responses from Reddit Sport Subreddits
A winner of NeurIPS LLM 2023 Competition
Gemma-2b-it LLM has been finetuned on a dataset of Python codes, enabling it to proficiently learn Python syntax and assist in debugging tasks, offering valuable guidance to programmers.
A collection of examples for training or fine-tuning LLMs.
Fine-tune large language models (LLMs) using the Hugging Face Transformers library.
Factuality check of the SemRep Predications
nter the realm of truth detection with GPT-Truth - fine-tuning GPT-3.5 for unparalleled accuracy in identifying deceptive opinions
Comparison of different adaptation methods on PEFT for fine-tuning downstream tasks or benchmarks.
Streamlit application for Reddit posts powered by OpenAI, Pinecone and Langchain
A payload compression toolkit that makes it easy to create ideal data structures for LLMs; from training data to chain payloads.
Collection of resources for finetuning Large Language Models (LLMs).
This is a final porject repository for Goergia Tech CS7643.
This is a package for generating questions and answers from unstructured data to be used for NLP tasks.
high-efficiency text & file scraper with smart tracking, client/server networking for building language model datasets fast
Finetuning Some Wizard Models With QLoRA
Finetune an LLM to generate SQL from text on Intel GPUs (XPUs) using QLoRA
Collecting data for Building Lucknow's first LLM
npm like package ecosystem for Prompts 🤖
We jailbreak GPT-3.5 Turbo’s safety guardrails by fine-tuning it on only 10 adversarially designed examples, at a cost of less than $0.20 via OpenAI’s APIs.
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