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Description
Key Points: insurance industry, Gradient AI
Gradient AI for Insurance Industry
Gradient AI offers AI software solutions tailored for the insurance industry.
These solutions focus on improving outcomes in claims management and underwriting. The platform assists in managing insurance risk for various areas such as group health, property, casualty, and workers' compensation insurers.
By utilizing AI, commercial insurers can automate underwriting processes, enhance results, and decrease claim costs.
Open source
Gradient gives you easy access to open-source LLMs. We host the models and you can focus on inference and fine-tuning.
What we offer
- Ownership & Control: You own your model completely. This includes your private data used for inference and fine-tuning, i.e., the model weights generated during the fine-tuning process.
- Security & Privacy: When you create your own instance of an open-source model no one else can access it unless you decide to share it. Models created within a Gradient workspace can only be accessed by members of that workspace.
- More Customization: When using open-source models you have full access the model's architecture and code. This allows you to better understand the model and completely customize it to fit your needs.
- Open-source Community: Open-source comes with a built-in community of developers who are actively building and sharing resources with each other.
Gradient-hosted models
The Gradient API will host a broad range of language models. While all LLMs can be fine-tuned with your data, each model has been pre-trained differently and has distinct capabilities.
Currently supported by Gradient
| Language Model | Params | Release Date | Context Length | License |
|---|---|---|---|---|
| Bloom-560 | 560M | May 2022 | 2048 | The BigScience RAIL License |
| Llama-2 | 7B / 13B | July 2023 | 4096 | LLaMA 2 License; Cannot use LLaMA outputs to train other LLMs besides LLaMA and its derivatives |
| Nous-Hermes-Llama-2 | 13B | July 2023 | 4096 | N/A |
Expected to be supported in the future
| Language Model | Params | Release Date | Context Length | License |
|---|---|---|---|---|
| Llama-2 | 70B | July 2023 | 4096 | LLaMA 2 License; Cannot use LLaMA outputs to train other LLMs besides LLaMA and its derivatives |
| Starcoder | 15.5B | May 2023 | 8192 | OpenRAIL-M v1 |
| Code Llama | 7B, 13B, 34B | Aug 2023 | 4096 | LLaMA 2 License; Cannot use LLaMA outputs to train other LLMs besides LLaMA and its derivatives |
Features and Benefits
- Ownership & Control: You own your model completely. This includes your private data used for inference and fine-tuning, i.e., the model weights generated during the fine-tuning process.
- Security & Privacy: When you create your own instance of an open-source model no one else can access it unless you decide to share it. Models created within a Gradient workspace can only be accessed by members of that workspace.
- More Customization: When using open-source models you have full access the model's architecture and code. This allows you to better understand the model and completely customize it to fit your needs.
- Open-source Community: Open-source comes with a built-in community of developers who are actively building and sharing resources with each other.
