Best AI tools for< Jazz Musician >

DADABOTS is a website that uses neural networks to generate music. The website features a variety of different music genres, including death metal, jazz, and breakcore. DADABOTS also offers a variety of different ways to interact with the music, including live streaming, live coding, and collabs.

Song Demo AI is an advanced platform specializing in music generation and text-to-music conversion. The service, powered by Suno AI 3.5 and udio ai models, provides free music generation tools to help users create high-quality music tracks quickly and efficiently. Users can input text descriptions and the AI system will automatically generate corresponding music tracks in various styles such as pop, classical, electronic, and jazz. The music generation speed is fast, and the quality of the generated music is professional-level. Song Demo AI supports text input in multiple languages and offers a limited number of free music generation services.

Music AI is an AI-powered music generator and song generator tool that allows users to easily create stunning and unique music from text input. Users can select from a variety of music genres such as Classical, Electronic, Urban, Metal, Jazz, Blues, Reggae, Pop, Folk, Ethnic, Experimental, World, Hip-Hop, Opera, Country, Rock, Disco, and R&B. The tool generates music samples based on the selected genre and provides users with the option to customize the image size. Music AI aims to revolutionize music creation by leveraging advanced AI technology to inspire creativity and produce high-quality music compositions.

AI Rapper Music is a revolutionary AI-driven music creation platform that allows users to generate lyrics, download songs, and listen to music created by AI. While the music generation feature is temporarily unavailable, users can sign up to be notified when it launches. The platform offers various genres like Hip-Hop, Jazz Rap, and more, providing a unique experience in AI-driven rap music creation.

Song.do is a free AI Song Generator tool that allows users to create beautiful and melodious songs from text in seconds. Users can input keywords, phrases, or sentences to customize lyrics and music styles, or simply enter simple words to generate a unique song effortlessly. The tool eliminates the need for expertise in music theory, melody creation, instrument playing, arrangement, recording, or lyric writing, making song creation accessible to everyone. With Song.do, users can make songs as gifts for various occasions or for personal enjoyment. The AI Song Generator supports a variety of music styles, including Blues, Classical, Rock, Pop, EDM, Funk, Instrumental, Metal, Jazz, and Rap.

AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.

LLMLingua is a tool that utilizes a compact, well-trained language model to identify and remove non-essential tokens in prompts. This approach enables efficient inference with large language models, achieving up to 20x compression with minimal performance loss. The tool includes LLMLingua, LongLLMLingua, and LLMLingua-2, each offering different levels of prompt compression and performance improvements for tasks involving large language models.

Langrila is a library that provides an easy way to use API-based LLM (Large Language Models) with an emphasis on simple architecture for readability. It supports various AI models for chat and embedding tasks, as well as retrieval functionalities using Qdrant, Chroma, and Usearch. Langrila also includes modules for function calling, conversation memory management, and prompt templates. It enforces coding policies for simplicity, responsibility independence, and minimum module implementation. The library requires Python version 3.10 to 3.13 and additional dependencies like OpenAI, Gemini, Qdrant, Chroma, and Usearch for specific functionalities.

WordLlama is a fast, lightweight NLP toolkit optimized for CPU hardware. It recycles components from large language models to create efficient word representations. It offers features like Matryoshka Representations, low resource requirements, binarization, and numpy-only inference. The tool is suitable for tasks like semantic matching, fuzzy deduplication, ranking, and clustering, making it a good option for NLP-lite tasks and exploratory analysis.

The 'bookmark-summary' repository reads bookmarks from 'bookmark-collection', extracts text content using Jina Reader, and then summarizes the text using LLM. The detailed implementation can be found in 'process_changes.py'. It needs to be used together with the Github Action in 'bookmark-collection'.

Jazz expert for all enthusiasts.

Advanced jazz chord guide in Japanese, with TABs and practical scenarios

I only respond in jazz scats and skibidibops, mimicking scat singing.