This repository contains HTML versions of various Jupyter notebooks. These files are accessible directly in a web browser, allowing for easy viewing and sharing of notebook content without requiring a Jupyter Notebook environment.

This repository provides Jupyter notebooks to interact with Mistral Large Language Models (LLMs) for tasks including chatbot development, retrieval-augmented generation, and text generation. These notebooks are designed to help users leverage Mistral models in a range of applications, from conversational AI to content generation.

This repository contains Jupyter notebooks for working with Anthropic Large Language Models (LLMs), providing tools to explore chat-based interactions, retrieval-augmented generation, and text generation. These notebooks serve as a practical introduction to leveraging Anthropic models for various applications.

Repo to store code for #66DaysOfData challenge by Ken Jee. Includes notebooks and code for different concepts and technologies in data science for learning purposes.

the notebook and generated texts created for the DAGPap22

Generates ballads using Deep learning . Using LSTMs and data of some famous ballads . Generates new ballads and autocompletes with initial given texts .

🔍 Explore deep generative models with this structured repository for experiments, utilities, and course assignments using notebooks and scripts.

Natural language processing (NLP) tasks: text classification and text generation. The notebooks explore different techniques and models for handling these tasks, offering insights into common challenges and solutions.

This repository contains Jupyter notebooks to explore and utilize OpenAI's Large Language Models (LLMs) for various applications, including chatbots, retrieval-augmented generation, text generation, prompt engineering, and vector embedding. These notebooks provide a comprehensive toolkit for working with OpenAI models in diverse contexts.

A tutorial on GPT2 language model training with texts from Shakespeare

A jupyter notebook to generate song lyrics using LSTM network.

Generative AI workshop delivered at PyDataBCN 2023

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Sales Script AI is a tool that generates tailored sales scripts using AI-driven natural language processing techniques in an interactive Jupyter Notebook environment.

Hands‑on experiments with neural sequence models. To generate text and tackle translation. Each colab notebook go through data prep, model building, training loops and evaluation.

Explore advanced neural networks for crafting captivating headlines! Compare LSTM 🔄 and Transformer 🔀 models through interactive notebooks 📓 and easy-to-use wrapper classes 🛠️. Ideal for content creators and data enthusiasts aiming to automate and enhance headline generation ✨.

Natural LangWiz is a repository for exploring Natural Language Processing (NLP) techniques through Jupyter notebooks. It covers everything from text preprocessing and sentiment analysis to advanced transformer models. Dive in to see how we turn raw text into actionable insights with a touch of NLP wizardry!

The LLM FineTuning and Evaluation project 🚀 enhances FLAN-T5 models for tasks like summarizing Spanish news articles 🇪🇸📰. It features detailed notebooks 📚 on fine-tuning and evaluating models to optimize performance for specific applications. 🔍✨

NeoTutor is an interactive Agentic AI tutor system powered by LLaMA 3 and LangGraph. It dynamically generates questions, provides structured feedback, and offers personalized practice—all within a single notebook. Ideal for students and educators looking to explore adaptive learning using large language models.

Text Generation notebook using TensorFlow 2.0