Wednesday, March 30th 2022
Hyatt Regency San Francisco Airport
1333 Bayshore Highway, Burlingame, CA 94010
Optimizing for tinyML is not easy. ML Engineers go through a frustrating process that is difficult to iterate and requires constant trade-offs between model accuracy, inference speed, size, and memory. However, there is a better way. Please join Latent AI Product Manager Haya Sridharan at the TinyML Summit San Francisco on Wednesday, March 30th as he presents “Accelerated Model Deployment with LEIP Recipes.” Latent AI LEIP Recipes are a set of pre-configured assets combined with a set of instructions to follow to get to an optimized model. Latent AI LEIP Recipes come with all the model optimization settings pre-configured, including quantization and compiler settings, and let ML engineers build models that are already highly optimized for low-power, inference speed, size and memory.
By automating the ML optimization pipeline, Latent AI LEIP Recipes help resolve Edge AI deployment challenges and let organizations instead focus on their business outcomes. To learn more about how LEIP Recipes can help you gain actionable, reliable, and repeatable insights from your data, or to inquire about a specific configuration, please contact us at [email protected].