For a full-fledged solution that offers a range of fine-tuned large language models for different industries and supports 30 languages, Writer is a top contender. It offers Palmyra LLMs, fine-tuned for different industries and available in 30 languages, as well as tools like Knowledge Graph and AI Guardrails to improve accuracy and compliance. Writer also offers flexible deployment options and data privacy, making it a good option for businesses that want to build AI into their operations.
Another strong contender is Dayzero, which offers hyper-personalized apps powered by custom Large Language Models. It offers a variety of products, including Worx for training and deploying models, Altimo for intelligent conversation and content generation, and Blox for process automation. Dayzero's end-to-end AI solutions can be customized for specific domains and supports multiple languages, with a focus on precision pre-training and custom application development.
Predibase is another strong contender for fine-tuning and serving large language models. It supports a range of models like Llama-2 and Mistral, and offers low-cost serving infrastructure and enterprise-grade security. Customers can fine-tune models for specific tasks and get features like free serverless inference and dedicated deployments, making it a good option for developers who want to build AI into their apps.
And Prem offers a simple interface for fine-tuning personalized Large Language Models. It focuses on data sovereignty and on-premise deployment, so companies can keep sensitive data in their own data centers. With features like prompt engineering and evaluation, Prem lets companies fine-tune models for their own needs, making it a good option for those who want to use AI without relying on third-party providers.