Bloom is a new multi-lingual LLM (Large Language Model) from BigScience, a Hunggingface-hosted open collaboration with hundreds of researchers and institutions around the world. This repo contains a notebook and configuration scripts to get started with the basics of text generation using Bloom's 1.3B parameter pre-trained model.

Simple extension for text-generation-webui that injects recent conversation history into the negative prompt with the goal of minimizing the LLM's tendency to fixate on a single word, phrase, or sentence structure.

The KlicStudio MCP server is a connector based on the Model Context Protocol (MCP), designed to facilitate interactions with KlicStudio services. Acting as a bridge between large language models (LLMs) and KlicStudio services, it enables LLMs to utilize KlicStudio's features such as subtitle generation, translation, and text-to-speech (TTS).

Long Form NLG Generation Based on Large Language Models

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CoFlu is a powerful text manipulation, generation, and comparison tool. It's designed for tasks like proofreading, editing, content creation, version control, and ensuring text consistency. CoFlu offers unique capabilities, including AI-powered text generation, audio transcription, and unprecedented layout-preserving .docx translation using LLMs.

A versatile tool that leverages Google's LLM Gemini, along with HuggingFace models, to generate text and images based on user prompts. It utilizes Langchain for text generation and Hugging Face models for image generation. The project consists of a Streamlit GUI interface where users can interact with the generated content.

An extension for text-generation-webui that adds a basic die roller, to dodge the LLM being biased with it's own rolls

RPI (Resonant Permutation Inference) — Zero-multiply text generation. 18K tok/s. 868 KB models. Standalone or as speculative draft engine for LLMs. Runs on N64, POWER8, x86, ARM.

Integrates Simon Willison's LLM CLI with the Micro editor. This plugin allows you to leverage Large Language Models directly within Micro for text generation, modification, and custom-defined tasks through templates.

A python app with CLI interface to do local inference and testing of open source LLMs for text-generation. Test any transformer LLM community model such as GPT-J, Pythia, Bloom, LLaMA, Vicuna, Alpaca, or any other model supported by Huggingface's transformer and run model locally in your computer without the need of 3rd party paid APIs or keys.

This project focuses on text-generation LLMs, offering a deep dive into building and fine-tuning large language models for generating human-like text. It covers key techniques in training, prompt engineering, and model optimization, enabling the creation of powerful, context-aware text generation applications for diverse use cases.

It’s an innovative Figma plugin powered by advanced Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Automating design workflows saves time, reduces manual effort, and fosters creativity—bridging the gap between text-based prompts and pixel-perfect designs.

Prompt2Play is an AI-powered Gradio app that turns your text prompts into engaging children's stories, complete with illustrations and narration. It uses the power of Large Language Models (LLMs), Text-to-Speech (TTS), and image generation APIs to create narrated visual storybook videos.

An application leveraging OpenAI's models for tasks like conversational agents, text generation, and other LLM-powered functionalities.

An application utilizing Ollama's local models (deepseek-r1:8B) for tasks like conversational AI, text generation, and other LLM-powered features.

This project demonstrates a modular AI service offering text summarization, question answering, and learning path generation APIs. It uses Google's Gemini LLM through LangChain and incorporates a simulated blockchain for response integrity verification.

This Proof of Concept (POC) demonstrates a next-generation Voice AI Agent that runs entirely in the browser. Unlike traditional pipelines (Speech-to-Text → LLM → Text-to-Speech), this project uses Azure's GPT-4o Realtime API to process audio streams end-to-end. This results in ultra-low latency conversations that feel natural and human-like.

Generate synthetic test data for Retrieval-Augmented Generation (RAG) pipelines using LangChain and ollama, llama3 and gemma2

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This repository is a Text Generation app powered by the Huggingface's GPT-2 language model (LLM).

An addon extension for theubie's complex_memory extension for oobabooga's text-generation-webui. Adds the ability to have the LLM generate memories.

A minimal but production-ready Retrieval-Augmented Generation (RAG) pipeline that lets you chat with any collection of text documents using OpenAI's LLMs.

A simple chat bot application that you can communicate with. Built using Flask, htmx, tailwind (for styling) leveraging AI21's supercool LLM(text generation model)

This repository contains the code for my Master's thesis **Text2SHACL: LLM-Driven Generation of Validation Graphs for Automatic Assessment of Social Benefit Eligibility**. The project explores how LLMs can support the automatic generation of SHACL shapes from natural language text.

Developed a Streamlit web application that utilizes OpenAI's GPT-3.5-turbo LLM to answer user questions about uploaded PDF content. The project involved text extraction, text chunking, embedding generation, and question-answering using LangChain libraries.

The project is to test the foundation model framework's on device LLM capability that excels at a diverse range of text generation tasks, like summarization, entity extraction, text understanding, refinement, dialog for games, generating creative content, and more.

This project uses Shannon entropy to control text generation in Large Language Models (LLMs), balancing diversity (creativity) and coherence (logical flow). By dynamically adjusting entropy, we fine-tune the model’s output for applications like creative writing and AI content generation.

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.