TCC Poli USP Pro

The lexical simplification baseline for MLSP Shared Task at BEA 2024

Repositório dedicado ao trabalho de graduação

🦙 Llama 2 7B fine-tuned to revive Rick

Chatbot build with Amazon Bedrock, Llama 2, LangChain and Streamlit

Developed and fine-tuned prompts to optimize LLaMA-2's performance for tasks like text generation, document analysis, and chatbot creation. Utilized iterative prompt refinement, few-shot learning, and context-driven chatbot behavior to demonstrate practical applications of LLaMA-2.

A cybersecurity chatbot developed by fine-tuning Falcon-7B and Llama-2-7B using QLoRA on a custom question-answer dataset, which was compiled from the OWASP Top 10 and CVE vulnerability information.

AI-powered email management system that automates email categorization, sentiment analysis, summarization, and response generation using NLP models and machine learning, enhancing communication efficiency.

AI-based Psychology Assistant built with llama-2

Retrieval-Augmented Generation (RAG) to analyze and respond to queries about President Biden's 2023 State of the Union (SOTU) Address

Docker image for LLaVA: Large Language and Vision Assistant

Quantization of the Llama 2 model

FineTuning LLMs on conversational medical dataset.

This repository contains the supplementary material / appendix to go with the paper “Is Temperature the Creativity for Large Language Models” by Max Peeperkorn, Tom Kouwenhoven, Dan Brown, and Anna Jordanous.

This project aims to develop an API backend using Flask to support Text Generation Inference with Llama v2 Models

This project demonstrates how to fine-tune a large language model (LLM) for the IT domain using Amazon SageMaker, creating an "IT Domain Expert" model.

LLM-powered Chatbot for arXiv Knowledge Retrieval

Llama-2 on apple mac using gpu

MLX Institute | Fine-tuning Llama-2 7B on The Onion to generate new satirical articles given a headline

Discussed about 4 use-cases or case studies. Discussed about the approaches and significance of these use-cases as these are different from others. There are several approaches available which can be done using LLM but here the approaches and it's significance could bring insightful approaches towards it's execution.