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Adobe has introduced a groundbreaking AI tool named Project Music GenAI Control, designed to revolutionize the way music is created and edited. This prototype generative AI tool, announced during the Hot Pod Summit in Brooklyn, enables users to generate music from text descriptions or reference melodies and offers extensive editing capabilities within the same workflow. Users can input text prompts describing the desired music style, such as 'happy dance' or 'sad jazz,' and the tool generates music accordingly. Additionally, it allows for the customization of the generated music, including adjustments to tempo, intensity, repeating patterns, and structure. Users can also remix sections of music or create repeating loops, making it suitable for various content creation needs, such as backing tracks or background music for podcasts and animations[1][2]. Developed in collaboration with researchers from the University of California and Carnegie Mellon University, Project Music GenAI Control stands out from existing generative music tools by offering a more integrated and user-friendly editing experience. Unlike other tools that require users to generate audio from scratch repeatedly until achieving the desired result or to use separate audio editing software for modifications, Adobe's tool provides "pixel-level control" for music, allowing for direct and detailed adjustments to the generated audio[1][2]. Adobe emphasizes its commitment to ethical and legal considerations by training its generative AI tools on licensed or public domain data to avoid potential intellectual property issues. The company is also exploring watermarking technology to help identify audio produced by Project Music GenAI Control, although details about the implementation and effectiveness of this technology are still in progress[2]. While the tool is currently in the research stage and lacks a user interface, Adobe's initiative represents a significant step forward in AI-powered music creation and editing. It opens up new possibilities for individuals without professional audio experience to bring their musical ideas to life and contributes to the ongoing discussion about the ethical and legal implications of AI-generated content[2]. Project Music GenAI Control is part of Adobe's broader efforts to leverage AI in enhancing audio and video creation tools. Other projects, such as Project Sound Lift, demonstrate Adobe's commitment to using AI to solve common audio challenges, such as separating speech from background noise and enhancing voice recordings[6]. Together, these developments highlight Adobe's role in advancing AI technology in creative industries, offering tools that simplify and enhance the creative process for professionals and hobbyists alike.
Claude is a highly performant, trustworthy, and intelligent AI platform built by Anthropic. Claude excels at tasks involving language, reasoning, analysis, coding, and more.
Introducing AutoRAG: fully managed Retrieval-Augmented Generation on Cloudflare
AutoRAG is here: fully managed Retrieval-Augmented Generation (RAG) pipelines powered by Cloudflare's global network and powerful developer ecosystem. Simplify how you build and scale RAG pipelines to power your context-aware AI chatbots and search applications.
Building complex, production-ready AI agents, especially multi-modal or multi-agent systems, can be challenging. Introducing the Agent Development Kit (ADK),...
Apple's Create ML is a machine learning framework that allows you to create and train custom machine learning models on your Mac using familiar tools like Swift and macOS playgrounds[1][2]. It simplifies model training and produces powerful Core ML models, enabling you to build dynamic app features that leverage Create ML APIs to train models directly from user input or sample data[1]. The framework is available as a Swift framework on iOS, iPadOS, macOS, and tvOS, allowing you to programmatically experiment and automate model creation in Swift scripts or playgrounds[1]. You can find the Create ML app within Xcode by going to Xcode Open Developer Tool Create ML in the menu bar[5]. The framework has been enhanced with new features, such as improvements to text classification and new augmentation APIs[3]. If you're interested in using Create ML, you can access it through Xcode and explore the available resources and documentation provided by Apple.
AI image, AI art generators make you 10x more creative and productive. 100+ models and styles to choose from. Support txt2img, img2img, ControlNet, inpainting, and more with Face/anime enhancement with 2x and 4x upscaling
OpenAI is offering a free class in prompt engineering for devs
Whether or not AI lives up to the hype surrounding it will largely depend on good prompt engineering.
Prompt engineering is the key to unlocking useful — and usable — outputs ...
The LPU™ Inference Engine by Groq is a hardware and software platform that delivers exceptional compute speed, quality, and energy efficiency. Groq provides cloud and on-prem solutions at scale for AI applications.
We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks.
💤 Build a SAAS App FAST with A.I. and No-Code - YouTube
How we built an A.I. SAAS app in record time using OpenAI's GPT, Midjourney, and the no-code platform Bubble.io.Quickie https://quickie.aihttps://twitter.com...
It can generate, edit, and iterate with users on creative and technical writing tasks, such as composing songs, writing screenplays, or learning a user’s writing style.
Artificial intelligence is healthcare’s most transformative area. It’s fundamentally changing how we interact with technology—turning software into a trusted colleague or assistant and freeing each of us to achieve more. Everyone who plays a role in healthcare stands to benefit from AI, so we’ve moved quickly to embed it throughout our software—for patients, for clinicians, and for everyone in between.
