AI tools for Lord of the rings
Related Tools:

GitaGPT
GitaGPT is an AI chatbot application that allows users to explore the Bhagavad Gita with the help of AI characters like Krishna, Ganesha, Rama, Chanakya, Shiva, Buddha, Hanuman, and more. The application provides spiritual guidance, insights, and solutions for life's challenges from a divine perspective. Users can receive personal guidance on life's purpose, duties, meditation techniques, and inner peace. GitaGPT offers practical, Gita-inspired advice to help users navigate through various life situations and find meaning in their spiritual journey.

Tolkien Talks
It's me, JRR Tolkien, the author of The Hobbit and The Lord Of The Rings. Let's talk.

ScreenScope
Your TV/Film Companion. Keep track of plot developments and character arcs in your favourite TV shows and films, spoiler-free.

AutoExpert (TV/Movies)
Search for TV and Movies, and learn what services offer them for streaming/rental/purchase.

Emperor Palpatine Life Coach
Don't you want life advice from your favorite Dark Lord of the Sith? Try it! DO IT!

awesome-llms-fine-tuning
This repository is a curated collection of resources for fine-tuning Large Language Models (LLMs) like GPT, BERT, RoBERTa, and their variants. It includes tutorials, papers, tools, frameworks, and best practices to aid researchers, data scientists, and machine learning practitioners in adapting pre-trained models to specific tasks and domains. The resources cover a wide range of topics related to fine-tuning LLMs, providing valuable insights and guidelines to streamline the process and enhance model performance.

prompt-tuning-playbook
The LLM Prompt Tuning Playbook is a comprehensive guide for improving the performance of post-trained Language Models (LLMs) through effective prompting strategies. It covers topics such as pre-training vs. post-training, considerations for prompting, a rudimentary style guide for prompts, and a procedure for iterating on new system instructions. The playbook emphasizes the importance of clear, concise, and explicit instructions to guide LLMs in generating desired outputs. It also highlights the iterative nature of prompt development and the need for systematic evaluation of model responses.

lollms-webui
LoLLMs WebUI (Lord of Large Language Multimodal Systems: One tool to rule them all) is a user-friendly interface to access and utilize various LLM (Large Language Models) and other AI models for a wide range of tasks. With over 500 AI expert conditionings across diverse domains and more than 2500 fine tuned models over multiple domains, LoLLMs WebUI provides an immediate resource for any problem, from car repair to coding assistance, legal matters, medical diagnosis, entertainment, and more. The easy-to-use UI with light and dark mode options, integration with GitHub repository, support for different personalities, and features like thumb up/down rating, copy, edit, and remove messages, local database storage, search, export, and delete multiple discussions, make LoLLMs WebUI a powerful and versatile tool.

lollms
LoLLMs Server is a text generation server based on large language models. It provides a Flask-based API for generating text using various pre-trained language models. This server is designed to be easy to install and use, allowing developers to integrate powerful text generation capabilities into their applications.

awesome-local-llms
The 'awesome-local-llms' repository is a curated list of open-source tools for local Large Language Model (LLM) inference, covering both proprietary and open weights LLMs. The repository categorizes these tools into LLM inference backend engines, LLM front end UIs, and all-in-one desktop applications. It collects GitHub repository metrics as proxies for popularity and active maintenance. Contributions are encouraged, and users can suggest additional open-source repositories through the Issues section or by running a provided script to update the README and make a pull request. The repository aims to provide a comprehensive resource for exploring and utilizing local LLM tools.

vectordb-recipes
This repository contains examples, applications, starter code, & tutorials to help you kickstart your GenAI projects. * These are built using LanceDB, a free, open-source, serverless vectorDB that **requires no setup**. * It **integrates into python data ecosystem** so you can simply start using these in your existing data pipelines in pandas, arrow, pydantic etc. * LanceDB has **native Typescript SDK** using which you can **run vector search** in serverless functions! This repository is divided into 3 sections: - Examples - Get right into the code with minimal introduction, aimed at getting you from an idea to PoC within minutes! - Applications - Ready to use Python and web apps using applied LLMs, VectorDB and GenAI tools - Tutorials - A curated list of tutorials, blogs, Colabs and courses to get you started with GenAI in greater depth.

Efficient_Foundation_Model_Survey
Efficient Foundation Model Survey is a comprehensive analysis of resource-efficient large language models (LLMs) and multimodal foundation models. The survey covers algorithmic and systemic innovations to support the growth of large models in a scalable and environmentally sustainable way. It explores cutting-edge model architectures, training/serving algorithms, and practical system designs. The goal is to provide insights on tackling resource challenges posed by large foundation models and inspire future breakthroughs in the field.

tinystruct
Tinystruct is a simple Java framework designed for easy development with better performance. It offers a modern approach with features like CLI and web integration, built-in lightweight HTTP server, minimal configuration philosophy, annotation-based routing, and performance-first architecture. Developers can focus on real business logic without dealing with unnecessary complexities, making it transparent, predictable, and extensible.

Awesome-LLM-Compression
Awesome LLM compression research papers and tools to accelerate LLM training and inference.