Instacart upgrades its Machine Learning Platform, introduces Griffin 2.0 with advanced capabilities
Instacart developed the next-generation platform based on experiences using the original Griffin machine-learning platform. The company wanted to improve user experience and help manage all ML workloads. The revamped platform leverages the latest developments in MLOps and introduces new capabilities for current and future applications.
Rajpal Paryani, engineering manager at Instacart, said, “Since our early days, we’ve witnessed rapid advancements in MLOps. The emergence of technologies like ChatGPT has revolutionised the utilisation of Large Language Models (LLMs) across various industries. Our company is at the forefront of these developments. The guiding principles behind Griffin 2.0 ensure that our ML infrastructure is well-prepared for advanced applications like LLM training, fine-tuning, and serving in the future.”
All platform capabilities are available to ML engineers in a unified web UI application where they can create ML services end-to-end. At the same time, the process is guided by built-in validation at different stages to help rectify errors earlier in the process.
