di37/chainlit-tutorial

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Python
Created over 1 year ago
Updated over 1 year ago

di37/chainlit-tutorial

di37

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Short demo on how to use Chainlit library for using Large Language Models API.

youtube-notes-generator

AI-powered YouTube Notes Generator: Create detailed notes from YouTube videos. Streamlit UI for easy use.

coding-assistant-codellama-streamlit

This project demonstrates how to utilize Codellama, a local open-source Large Language Model (LLM), and customize its behavior according to your specific requirements using a Modelfile.

full-fine-tuning-nvidia-question-and-answering

Flan-t5-base model was fine-tuned on Nvidia Question and Answer Pair Dataset available on Kaggle. This is a beginner level project who wants to step in to the world of Large Language Models.

Jupyter Notebook

langchain-rag-basic-to-advanced-tutorials

It includes the concepts for RAG application from basics till advanced using LangChain library.

Jupyter Notebook

chatbot-chatgpt-api

Chatbot implementation using ChatGPT API and Gradio.

multiclass-news-classification-using-llms

This repository contains a project that focuses on evaluating the performance of different Language Models (LLMs) for multi-class news classification. The project aims to assess how well LLMs can classify news articles into five distinct categories: business, politics, sports, technology, and entertainment.

Jupyter Notebook

LLM-Load-Unload-Ollama

This is a simple demonstration to show how to keep an LLM loaded for prolonged time in the memory or unloading the model immediately after inferencing when using it via Ollama.

Jupyter Notebook

question-answering-api-llm

Question Answering System API based on all of the Harry Potter Books that will allow to answer all the events that took please in the Harry Potter universe.

speech-to-text-fine-tuning-on-unseen-language

This projects aims to show how whisper model can be fine-tuned on language it was not trained but is trained on similar language to it.

Jupyter Notebook

stock-price-checker-openai-langchain

This project is created just to demonstrate how functions can be used for creating multi tool agent. All credits to Sam Witteveen.

gemini-pro-vision-streamlit-application

Multimodal application using Gemini API

getting-started-with-gemini-api

Jupyter Notebook

mysql-docker-tutorial

base-instruct-chat-model-comparison

Jupyter Notebook

content-based-movie-recommender-system

The Content-Based Movie Recommender System is designed to suggest movies to users by analyzing the similarities between movies.

Jupyter Notebook

chat-with-website-streamlit

generate-synthetic-furniture-ad-dataset

Jupyter Notebook

Newton-Raphson-Tutorial

Simple and efficient code used for computing root of a non-linear algebraic equation. This code can be modified to solve other non-linear equations.

news-research-tool

News Research tool is built for making the life of Research Analysts more easier and efficient.

Jupyter Notebook

stable-zero123-output

imdb-reviews-sentiment-analysis

langchain-palm-in-ed-tech

Jupyter Notebook

caesar-cipher

Program implemented using Python for ciphering - encryption or decryption of a raw text file.

few-shot-text-classification-setfit

Jupyter Notebook

mlproject

Jupyter Notebook

convert-transformers-to-onnx

Jupyter Notebook

neural-networks-z-to-h-01

Jupyter Notebook

large-language-models-from-scratch

Jupyter Notebook

Data-Engineering-ZoomCamp

Jupyter Notebook

mlflow-intermediate-concepts

Jupyter Notebook

sms-spam-classification

Jupyter Notebook

docker-compose-env-demo

text-summarizer-project

Jupyter Notebook

langchain-tutorial-deeplearning-ai

Jupyter Notebook

end-to-end-project-with-mlflow

Jupyter Notebook

learning-git-branching

llama-2-fine-tuning

mlflow-experiments