FriendliAI has integrated with Weights & Biases to improve the development and deployment workflow for machine learning (ML) developers working with generative AI models. This collaboration enables developers to easily leverage Weights & Biases’s tools while fine-tuning and deploying generative AI models on FriendliAI’s high-performance engine.
The integration allows developers to deploy models trained on the Weights & Biases platform through FriendliAI’s endpoints, streamlining the generative AI application lifecycle. This aims to simplify the ML developer workflow and allow researchers to focus on pioneering new models instead of infrastructure management.
Read more – FriendliAI integrates with Weights & Biases to streamline Generative AI deployment workflows
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