LLM Hosting

adaptAI’s premier service and product is focused on providing private and secure Large Language Models so that our customers can develop their own AI Agents in complete privacy (and fixed costs!)

We are working with purpose built infrastructure to help you build a secure, scalable and stable LLM foundation.

adaptAI has an integrated development environment ready to go! We leverage multiple large language models such as LlaMa2 7B, LlaMa3 8B, Mistral, Flan, BLOOM & Vicuna 13B. New LLMs are being developed almost weekly, so chances are we will probably expand this list once we get comfortable with their deployment, configuration and training techniques.

Of course, these private LLMs will coexists with your cloud services, you will rest assured that your data will be safe. These LLMs will be yours and WILL NOT share any data outside your domain.

The main benefits of this private LLM approach are:

1. Customization and Fine-tuning:
   You can fine-tune the model on your proprietary, domain-specific data, or task-specific examples, allowing it to better understand and generate relevant outputs for your specific needs.
   This level of customization is often not possible with closed, monolithic models offered by third-party providers.
2. Data Privacy and Security:
   By deploying your own language model, you can ensure better control over data privacy and security. You can train the model on your own data, which may contain sensitive or confidential information, without the need to share it with external parties. This can be particularly important in industries with strict data privacy regulations, such as healthcare, finance, or government sectors.
3. Performance Optimization:
   When you have full control over the language model architecture and deployment environment, you can optimize its performance for your specific hardware and computational resources. This includes fine-tuning the model size, precision, and inference settings to achieve the desired balance between performance and accuracy. Again, this is not possible on closed, monolithic LLMs.
   Additionally, you can leverage hardware accelerators like GPUs more effectively, leading to faster inference times and lower latency. Our infrastructure partners will be there to provide GPU-rich architecture that will support your optimization needs. Also worth noting, that fine tuning a model can be significant in closed, monolithic models due to its high tokenization needs.
4. Intellectual Property Protection:
   By developing and deploying your own language model, you can retain full ownership and control over the intellectual property (IP) associated with the model. This can be crucial for organizations that operate in highly competitive industries or deal with sensitive or proprietary information. Owning the IP allows you to protect your competitive advantage and prevents potential disputes or legal issues related to the use of third-party models.

Our infrastructure will be tailored-made architected to meet your computing needs! Yes! It will be elastic, much like the known SaaS providers, but without the unpredictable cost!

adaptAI will also provide the expertise to train your model; and train your folks to continue its evolution.