One of the biggest hurdles to reducing time-to-market of an ML Product is the two language problem. Generaly speaking, the tech stacks of the Producers of the ML models and its Consumers are different. Say, a DataScientist may work with Python, but a Production Engineer may want it in a JVM language. There are multiple approaches to solving this problem. Languages like Julia offer the expressiven… more

Fedem A decentralized framework to train foundational models more

Session Overview AMA with Mixture-of-Experts on Building Building and Deploying LLM Applications: From Concept to Production was held on 24th July, at BIC, as a part of The Fifth Elephant 2024 Annual Conference at BIC. more