Rabbitt.AI offers a comprehensive platform for enterprises to create custom AI solutions effortlessly. By tapping into the full potential of enterprise data, Rabbitt.AI develops reliable Generative AI Solutions, allowing businesses to own their AI and data. The platform provides industry-specific consulting, interactive data annotation, and AI-assisted quality checks, empowering clients to define their business problems, design and build data, develop models, and evaluate them effectively.
Introducing ChanceRAG, the revolutionary AI platform that empowers you to create custom AI effortlessly. ChanceRAG taps into the full potential of enterprise data to develop reliable Generative AI Solutions that you can count on. Whether you're building custom large language models or using pre-built solutions, ChanceRAG makes you the key maker in the AI world where data is the key. With ChanceRAG, you can define your specific data needs, design interactive data annotation projects, and perform AI-assisted quality checks with ease. Our platform offers consultation at every level of your AI adoption journey, from defining your business problem to evaluating data and models. Let ChanceRAG be your partner in improving goods and increasing staff efficiency. Contact us today to learn more about how ChanceRAG can help you effortlessly create custom AI solutions for your business.
Effortlessly create custom AI solutions with ChanceRAG
Utilize ChanceRAG's AI Pool to tap into the full potential of enterprise data
Easily design interactive data annotation projects with no-code solutions
Ensure quality check with AI-assisted technologies for precise results
Receive consultation at every level of your LLM adoption journey with ChanceRAG
1. 1. Open ChanceRAG and log in to your account.
2. 2. Select the 'Create New Project' option from the main menu.
3. 3. Input your project details, including project name, description, and data source.
4. 4. Choose the AI model you want to use for your project from the available options.
5. 5. Customize the AI model settings based on your project requirements.
6. 6. Start the AI training process by uploading your data set and initiating the training.
7. 7. Monitor the AI training progress and make any necessary adjustments.
8. 8. Once the AI training is complete, download the generated AI model for your project.
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