Best AI tools for< Pottery Collector >

The website 'Harry Potter Quizzes' offers a variety of quizzes and tests related to the Harry Potter universe. Users can explore their wizarding world identity by taking personality quizzes, discovering their Hogwarts house, Patronus, and Harry Potter character match. The site also features movie quizzes that test knowledge of the cinematic world of Harry Potter, as well as world knowledge quizzes focusing on spells, potions, and wizarding lore. With a fun and magical approach, 'Harry Potter Quizzes' provides an entertaining experience for fans of the Harry Potter series.

Chat with Harry Potter is an AI-powered application that allows users to engage in conversations with a virtual representation of the famous character, Harry Potter. Users can ask Harry questions about his adventures or the wizarding world, and receive responses based on advanced language processing technology. 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 application that allows users to transform their photos into iconic movie stills, starring themselves. The website offers personalized AI gifts by leveraging advanced artificial intelligence technology. Users can experience becoming a movie star by uploading a selfie and immersing themselves in famous movie scenes like Harry Potter, The Lord of the Rings, and Fight Club. FilmfaceAI provides a unique and fun way for users to engage with AI technology and explore the world of cinema through a personalized lens.

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.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

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.

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.

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.

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.

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.

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.

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.

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.

Cog is an open-source tool that lets you package machine learning models in a standard, production-ready container. You can deploy your packaged model to your own infrastructure, or to Replicate.

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.

A bilingual porcelain classification assistant.

Humorous and empathetic pottery expert sharing engaging advice.

Provides insights into workshops, focusing on craftsmanship and information.

Adventures in the Wizarding World of Harry Potter

The Ultimate AI Guide to all things Harry Potter

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

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! 🔮🦉

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.

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!