Cart is empty SWIFT AI > Generative AI Toolkit > Training Data
Training Data
Generative AI Toolkit
To create a model that excels at everything must be substantially larger than any model designed to specialize in specific tasks—both in terms of parameters and the volume of data it has been trained on posing several practical challenges. Running a LLM also significantly impacts revenue due to higher operational costs and increased latency when compared to smaller, more focused models. Additionally, there's a critical existential risk: developing a LLM-based application while having no control over the underlying LLM you depend on.
Training and deploying small language models also present considerable challenges. Data acquisition and fine-tuning are bottlenecks due to the complexity of the techniques and tools required. Additionally, managing the necessary infrastructure is demanding, and the associated costs can be substantial.
SWIFT is one of the few companies developing AI applications with a fully integrated approach—covering everything from training and models to serving, integrations, and the final product—without relying on OpenAI. We deliver more secure, private, custom AI solutions that perform better than frontier commercial out of the box LLMs like ChatGPT.
Maintaining the highest security standards and integrity, our SWIFT AI generative products reference trusted sources ensuring authentic, accurate, and relevant generated AI Outputs. Furthermore, we never train on non-permissively licensed content, protecting our clients from legal risks, unlike Microsoft Copilot.
SWIFT also offers the provision of private LLM ownership, eliminating reliance on third-party models like ChatGPT and other companies that package these solutions. Our private LLMs give you complete control to fine-tune, train, and adjust parameters to enhance performance beyond what ChatGPT offers, all while seamlessly integrating with your internal data.
All our models are trained in-house with a combination of natural language and specific data and training stages. Together we maintain complete control of the data, which means we can do things to improve the quality of the data (e.g. guarantee non bias content in the training corpus) that organizations like OpenAI do not follow. Our services include building data pipelines and optimizing data ingestion enabling LLM fine-tuning all custom to your use cases and verticals as a service.
The model is just one component of the overall SWIFT AI Generative Toolkit. We have built local personalization into our Enterprise offering combined with the option to fully self-host, delivers the most advanced custom AI-powered solutions while guaranteeing IP security. Your IP and the trained models never leave your on-premises servers or VPC, however you choose to deploy security is our number one priority.
We offer a unique competency when it comes to models: pretraining, task specific finetuning, customer specific finetuning, and API integrations. We will continue to evaluate our deployments and stay at the forefront and iterate accordingly as additional research and releases are available in the industry. We will capitalize on open-source models to benefit our clients and democratize AI.