BOMML is a cloud-based AI model hosting platform that simplifies the process of hosting AI models. It specializes in hosting various AI models, such as Lama 2, and aims to provide user-friendly services to empower innovators to leverage AI efficiently. BOMML prioritizes privacy and security by running AI models on encrypted machines within secure datacenter clouds, ensuring that user data is not tracked or used for training. Users can utilize BOMML for tasks like text generation, conversational chats, embeddings, analysis, and optical character recognition. The platform offers easy integration through API endpoints, supports fine-tuning and training of AI models, and allows users to bring their own data for tailored solutions. BOMML's vision is to democratize access to AI technology and make innovation more accessible and accelerated.
BOMML, a cloud-based AI model hosting platform, was launched on August 9, 2023. The founder of BOMML is Maximilian-Markus Lampe. The company specializes in hosting Lama 2 and various AI models, aiming to make AI technology accessible to all innovators and creators by simplifying the hosting process and ensuring user-friendly services.
To use BOMML effectively, follow these comprehensive steps:
Understanding BOMML: BOMML is an AI hosting tool designed for various AI models and scenarios. It simplifies AI deployment without complex implementation processes.
Data Privacy and Security: BOMML ensures your data's privacy and security by running AI models on encrypted machines in secure datacenter clouds. They do not track user data or utilize it to train models.
Multiple Tasks Handling: BOMML can manage various tasks like text generation, conversational chats, embeddings, controlling, analyzing, and optical character recognition.
Integration and API Access: BOMML can be effortlessly integrated into different applications through API endpoints. It offers accessibility via both an API and a web interface.
Pricing: BOMML operates on a competitive pricing model where users pay for what they use. This cost-effective approach makes it favorable for on-demand AI services.
Fine-Tuning and Training: Users have the flexibility to fine-tune and train AI models according to specific tasks or individual data, tailoring the models to their unique needs.
Bringing Your Own Data: BOMML allows users to bring their data, such as documents and files, to generate more relevant responses for their specific use cases.
On-Premise AI Support: For on-premise AI models, BOMML provides assistance throughout the process, ensuring smooth setup on personal hardware.
Specialized Support: BOMML offers help for various use cases, with experts guiding users to find solutions tailored to each problem.
Real-Time Usage: BOMML's models are fast and efficient, suitable for real-time applications.
By following these steps, users can leverage BOMML's capabilities effectively and efficiently for a wide range of AI tasks while ensuring data security and privacy.
Paid plans start at USD9.90/month and include:
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