Best AI tools for< Harry Potter Fan Club Moderator >

The Harry Potter Quizzes website is a platform dedicated to providing a fun and interactive experience for Harry Potter fans. Users can explore various quizzes related to the wizarding world, including personality tests, movie quizzes, and world knowledge quizzes. The site allows fans to discover their Hogwarts house, Patronus, Harry Potter character match, and more. Dive into the magical cinematic world of Harry Potter and test your knowledge with detailed questions from the films. Immerse yourself in spells, potions, and wizarding lore to showcase your mastery of the Harry Potter universe.

Chat with Harry Potter is an AI-powered chat application that allows users to engage in conversations with the famous fictional character, Harry Potter. Users can ask Harry questions about his adventures or the wizarding world, and receive responses generated by the GPT-4 AI model. The application aims to provide an immersive and interactive experience for fans of the Harry Potter series, enabling them to explore the magical world through engaging dialogues with the beloved character.

jpgHD is an online tool that uses AI to enhance and restore old photos. It can repair scratches, colorize black and white photos, and even make photos move like in Harry Potter. jpgHD is easy to use, simply upload your photo and select the desired enhancements. The tool is free to use for basic enhancements, but premium features such as high-resolution output and old photo restoration require a paid subscription.

FilmfaceAI is an AI-powered application that allows users to transform their photos into iconic movie stills, starring themselves. With advanced artificial intelligence technology, users can become a movie star by uploading a selfie and selecting a movie to star in, such as Harry Potter, The Lord of the Rings, or Fight Club. The application provides a fun and creative way for users to immerse themselves in their favorite films and experience the thrill of seeing themselves as part of the movie magic. Created by @JasperSchoormns, FilmfaceAI offers personalized AI gifts and a unique opportunity to explore the world of cinema through the lens of artificial intelligence.

DrawMy.Pet is an AI-powered platform that offers custom pet portraits in various styles. Users can choose from over 50 styles and have their artwork ready in less than 4 hours. The platform has been used by thousands of happy customers to create digital portraits of their pets, with options to select from popular styles like King, Jedi, Watercolor, Harry Potter, and Yoda. DrawMy.Pet aims to boost pets' social media presence and provide exclusive photo packs for a personalized touch. The platform ensures 100% happiness guarantee and allows users to approve the art before printing.

Harvy is an AI-driven automation tool designed to streamline work diary data entry and compliance reporting for heavy vehicle operators. By automating tedious tasks and providing real-time insights, Harvy helps reduce human error, improve compliance, and save time and costs. The platform offers features such as automated data entry, breach detection, compliance reporting, and quick access to historical work sheets. With a user-friendly interface and proactive fatigue management, Harvy empowers teams to focus on safety, efficiency, and growth.

Awesome-llm-role-playing-with-persona is a curated list of resources for large language models for role-playing with assigned personas. It includes papers and resources related to persona-based dialogue systems, personalized response generation, psychology of LLMs, biases in LLMs, and more. The repository aims to provide a comprehensive collection of research papers and tools for exploring role-playing abilities of large language models in various contexts.

**Curated collection of papers and resources on how to unlock the reasoning ability of LLMs and MLLMs.** **Description in less than 400 words, no line breaks and quotation marks.** Large Language Models (LLMs) have revolutionized the NLP landscape, showing improved performance and sample efficiency over smaller models. However, increasing model size alone has not proved sufficient for high performance on challenging reasoning tasks, such as solving arithmetic or commonsense problems. This curated collection of papers and resources presents the latest advancements in unlocking the reasoning abilities of LLMs and Multimodal LLMs (MLLMs). It covers various techniques, benchmarks, and applications, providing a comprehensive overview of the field. **5 jobs suitable for this tool, in lowercase letters.** - content writer - researcher - data analyst - software engineer - product manager **Keywords of the tool, in lowercase letters.** - llm - reasoning - multimodal - chain-of-thought - prompt engineering **5 specific tasks user can use this tool to do, in less than 3 words, Verb + noun form, in daily spoken language.** - write a story - answer a question - translate a language - generate code - summarize a document

LangChain is a C# implementation of the LangChain library, which provides a composable way to build applications with LLMs (Large Language Models). It offers a variety of features, including: - A unified interface for interacting with different LLMs, such as OpenAI's GPT-3 and Microsoft's Azure OpenAI Service - A set of pre-built chains that can be used to perform common tasks, such as question answering, summarization, and translation - A flexible API that allows developers to create their own custom chains - A growing community of developers and users who are contributing to the project LangChain is still under development, but it is already being used to build a variety of applications, including chatbots, search engines, and writing assistants. As the project continues to mature, it is expected to become an increasingly valuable tool for developers who want to build applications with LLMs.

Easily integrate Large Language Models into your Python code. Simply use the `@prompt` and `@chatprompt` decorators to create functions that return structured output from the LLM. Mix LLM queries and function calling with regular Python code to create complex logic.

This repository contains a sophisticated deterministic graph-based solution for answering complex questions using a controllable autonomous agent. The solution is designed to ensure that answers are solely based on the provided data, avoiding hallucinations. It involves various steps such as PDF loading, text preprocessing, summarization, database creation, encoding, and utilizing large language models. The algorithm follows a detailed workflow involving planning, retrieval, answering, replanning, content distillation, and performance evaluation. Heuristics and techniques implemented focus on content encoding, anonymizing questions, task breakdown, content distillation, chain of thought answering, verification, and model performance evaluation.

This repository is a collection of papers on Generative AI Machine Unlearning, categorized based on modality and applications. It includes datasets, benchmarks, and surveys related to unlearning scenarios in generative AI. The repository aims to provide a comprehensive overview of research in the field of machine unlearning for generative models.

LLMStack is a no-code platform for building generative AI agents, workflows, and chatbots. It allows users to connect their own data, internal tools, and GPT-powered models without any coding experience. LLMStack can be deployed to the cloud or on-premise and can be accessed via HTTP API or triggered from Slack or Discord.

SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with LLMs faster and more controllable by co-designing the frontend language and the runtime system. The core features of SGLang include: - **A Flexible Front-End Language**: This allows for easy programming of LLM applications with multiple chained generation calls, advanced prompting techniques, control flow, multiple modalities, parallelism, and external interaction. - **A High-Performance Runtime with RadixAttention**: This feature significantly accelerates the execution of complex LLM programs by automatic KV cache reuse across multiple calls. It also supports other common techniques like continuous batching and tensor parallelism.

Paper-Reading-ConvAI is a repository that contains a list of papers, datasets, and resources related to Conversational AI, mainly encompassing dialogue systems and natural language generation. This repository is constantly updating.

LearnOpenCV is a repository containing code for Computer Vision, Deep learning, and AI research articles shared on the blog LearnOpenCV.com. It serves as a resource for individuals looking to enhance their expertise in AI through various courses offered by OpenCV. The repository includes a wide range of topics such as image inpainting, instance segmentation, robotics, deep learning models, and more, providing practical implementations and code examples for readers to explore and learn from.

lmstudio.js is a pre-release alpha client SDK for LM Studio, allowing users to use local LLMs in JS/TS/Node. It is currently undergoing rapid development with breaking changes expected. Users can follow LM Studio's announcements on Twitter and Discord. The SDK provides API usage for loading models, predicting text, setting up the local LLM server, and more. It supports features like custom loading progress tracking, model unloading, structured output prediction, and cancellation of predictions. Users can interact with LM Studio through the CLI tool 'lms' and perform tasks like text completion, conversation, and getting prediction statistics.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

This repository tracks the latest research on machine unlearning in large language models (LLMs). It offers a comprehensive list of papers, datasets, and resources relevant to the topic.

LongLoRA is a tool for efficient fine-tuning of long-context large language models. It includes LongAlpaca data with long QA data collected and short QA sampled, models from 7B to 70B with context length from 8k to 100k, and support for GPTNeoX models. The tool supports supervised fine-tuning, context extension, and improved LoRA fine-tuning. It provides pre-trained weights, fine-tuning instructions, evaluation methods, local and online demos, streaming inference, and data generation via Pdf2text. LongLoRA is licensed under Apache License 2.0, while data and weights are under CC-BY-NC 4.0 License for research use only.

Tools4AI is a Java-based Agentic Framework for building AI agents to integrate with enterprise Java applications. It enables the conversion of natural language prompts into actionable behaviors, streamlining user interactions with complex systems. By leveraging AI capabilities, it enhances productivity and innovation across diverse applications. The framework allows for seamless integration of AI with various systems, such as customer service applications, to interpret user requests, trigger actions, and streamline workflows. Prompt prediction anticipates user actions based on input prompts, enhancing user experience by proactively suggesting relevant actions or services based on context.

OntoGPT is a Python package for extracting structured information from text using large language models, instruction prompts, and ontology-based grounding. It provides a command line interface and a minimal web app for easy usage. The tool has been evaluated on test data and is used in related projects like TALISMAN for gene set analysis. OntoGPT enables users to extract information from text by specifying relevant terms and provides the extracted objects as output.

Awesome deep logic is a curated list of papers and resources focusing on integrating symbolic logic into deep neural networks. It includes surveys, tutorials, and research papers that explore the intersection of logic and deep learning. The repository aims to provide valuable insights and knowledge on how logic can be used to enhance reasoning, knowledge regularization, weak supervision, and explainability in neural networks.

Enter the wizarding world's ultimate test of knowledge with our Harry Potter Trivia Challenge, where only the truest fans dare to unravel the most obscure spells, unravel mysteries, and emerge as the undisputed Hogwarts trivia champion.

A magical companion for Harry Potter fans, crafting new stories and discussing the wizarding world.

Adventures in the Wizarding World of Harry Potter

The Ultimate AI Guide to all things Harry Potter

Your guide to Harry Potter's world, offering lore, trivia, and interactive learning.

Guide in a Harry Potter-themed RP game

Harry Potter by your side. Upload Your Photo, See Yourself in a Magical Hogwarts Moment! 🔮🦉

I'm the Sorting Hat from Harry Potter, here to find your Hogwarts house.

I'm the Sorting Hat from Harry Potter, here to sort you into a Hogwarts House!

Your go-to expert for all things HubSpot, from basic tool use to advanced API coding.

Emulates Harry Stebbings' insights on business and startups

Steve Jobs, Harry Snyder, Charlie Munger, Sam Walton, and David Ogilvy will see you now. (Beta)

Practice your Wizarding Words to Make Magical Creatures

Need a gift in a hurry? Our last-minute gift finder saves the day with quick, thoughtful, and easily accessible gift options for any urgent occasion.

What is TRUCK lyrics meaning? TRUCK singer：Michael Hardy, Hunter Phelps, Benjamin Johnson，album：A ROCK ，album_time：2020. Click The LINK For More ↓↓↓

with Adam Driver, Ryan Gosling, Leonardo Decaprio, Christan Bale, Matthew McConaughey, Robert Downey Jr, Keanu Reeves, Ethan Hawke, Tom Hardy, Michael B. Jordan, Oscar Isaac, and Joaquin Phoenix