Faune is an innovative chat application that integrates advanced AI models like Mistral and GPT-4, emphasizing user privacy and simplicity in design. This app is tailored for individuals seeking a straightforward, secure way to explore the capabilities of AI without the need for signups or subscriptions. Features of Faune: - Privacy-Centric: Engagements with AI are kept private, with no user accounts needed, ensuring your interactions are anonymous and secure. - Multi-LLM Support: Offers interaction with various leading language models, including OpenAI and Mistral, providing a broad spectrum of perspectives. - Dynamic Prompt Editing: Features an integrated editor to help refine prompts for more nuanced conversations with AI. - Flexible Credit System: Incorporates a credit system that refreshes every three hours, facilitating continuous access to AI features. - Anonymous Usage: Designed for ease of use from the start, requiring no account creation. - Email Support: Provides dedicated email support to help users with any inquiries or issues for a smooth experience. Faune is designed for those who value privacy and innovation, offering a unique chat experience with AI. Whether you're interested in engaging in private AI conversations, seeking diverse insights from multiple language models, or simply exploring the potential of AI without the hassle of signups, Faune provides the tools you need to unleash creativity.
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Based on our record, Deeplearning4j seems to be more popular. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This integration is not only a technical marvel but also a case study in how open source funding and a transparent business model powered by blockchain are fostering collaboration among developers, academics, and institutional investors. With links to key resources such as the DL4J GitHub repository and the DL4J official website, the project serves as an inspiration for merging complex domains in a unified framework. - Source: dev.to / about 1 month ago
DeepLearning4j Blockchain Integration is more than just a convergence of technologies; it’s a paradigm shift in how AI projects are developed, funded, and maintained. By utilizing the robust framework of DL4J, enhanced with secure blockchain features and an inclusive open source model, the project is not only pushing the boundaries for artificial intelligence but also establishing a resilient model for future... - Source: dev.to / 3 months ago
While KotlinDL seems to be a good solution by Jetbrains, I would personally stick to Java frameworks like DL4J for a better community support and likely more features. Source: almost 4 years ago
Would recommend taking a look at dl4j: https://deeplearning4j.org. Source: about 4 years ago
We use DeepLearning4j in this chapter because it is written in Java and easy to use with Clojure. In a later chapter we will use the Clojure library libpython-clj to access other deep learning-based tools like the Hugging Face Transformer models for question answering systems as well as the spaCy Python library for NLP. Source: about 4 years ago
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
JS-Torch - JS-Torch is a Deep Learning JavaScript library built from scratch, to closely follow PyTorch's syntax.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Liner.ai - Liner is a free tool which lets you build and deploy machine learning applications within minutes. No coding or expertise in machine learning required.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
OpenNERO - Game platform for Artificial Intelligence research and education