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SABIE is an AI-powered conversational platform for students who are stuck in Google searches, irrelevant, generic, outdated, and unreliable information. We provide verified, up-to-date answers to the questions a student can have in their study abroad journey.

A daily performance and social experiment revealing the thoughts of Livia, an imaginary artist creating and sharing images. Observe the act of inspiration unfolding one idea at a time and ponder the nature of art and creativity in the age of AI.

Athena is a data science platform and a co-pilot/auto-pilot AI agent. Connects to any database, allowing enterprise data teams to collaboratively build and run bespoke workflows. Now with multi-modal Claude-3! API or Python SDK available for early access.

Turn your image into actionable data with GPT-4. Scan, Organize, and Analyze Your Bills Effortlessly How It Works? - Set Up A Bill Template - Add Your Bill To Scan - See Tabular Output

Smallppt - Unleash your creativity with speed and precision. It's not just a presentation tools, there's something more to it. Smallppt is able to create a compelling starting point for presentations in just minutes.

Discover Reggie: Your Passport to Language Mastery! Specializing in pronunciation and comprehension, Reggie immerses you in true-to-life scenarios, sharpening your spoken fluency. Its unique approach simulates native speaker environments, accelerating your mastery in any language. With a focus on intuitive learning through immersion, Reggie not only enhances your speaking abilities but also deepens your listening comprehension, seamlessly guiding you towards linguistic excellence.

ChatTTS is a voice generation model on GitHub at 2noise/chattts,Chat TTS is specifically designed for conversational scenarios. It is ideal for applications such as dialogue tasks for large language model assistants, as well as conversational audio and video introductions. The model supports both Chinese and English, demonstrating high quality and naturalness in speech synthesis. This level of performance is achieved through training on approximately 100,000 hours of Chinese and English data. Additionally, the project team plans to open-source a basic model trained with 40,000 hours of data, which will aid the academic and developer communities in further research and development.