– Tuning Llama 3 with your own data can create a customized and powerful model for specific business needs
– Vertex AI provides state-of-the-art tuning options, evaluation tools, and hardware/software for efficient tuning and serving
– Model Garden offers a wide range of first-party, third-party, and open models for enterprise developers to discover, tune, and manage models
Tuning a general LLM like Llama 3 with your own data can result in a powerful model tailored to specific business needs. Using Vertex AI, developers have access to state-of-the-art tuning options, including LoRA for supervised tuning, RLHF for reinforcement learning, and distillation. Evaluation of tuned Llama models can be done through preconfigured notebooks in Model Garden or with Auto SxS for model-based evaluation.
Vertex AI offers flexibility with accelerators such as TPUs and GPUs, with Cloud TPU v5e now available for online prediction. PyTorch users can utilize the Optimum-TPU package to train and serve Llama 3 on TPUs. Features like Model Registry make it easy to manage and monitor model variants and endpoints, allowing for scalability based on specific needs.
With over 130 first-party, third-party, and open models, Vertex AI Model Garden is the go-to platform for enterprise developers to discover, tune, and manage models. Developers can access the latest models like Llama 3 and utilize top-notch infrastructure and tooling to build generative AI agents. Join Vertex AI at I/O on May 14th for more updates on Model Garden and start exploring the possibilities with Llama 3.