MLOps explained: choose the right stack to build your end-to-end solutions
– whitepaper
Generative AI and large language models (LLMs) are not just a hot topic but a great opportunity for enterprises to tackle some of the most challenging problems they have. Generative AI offers organizations a chance to automate repetitive tasks, improve processes, and move away from traditional approaches to performing different activities. This is all exciting, but the tooling selection is not that easy to navigate. Having the right machine learning tools unblocks teams that are starting their journey. Once you identify use cases and have the data at hand, building an environment where professionals can initially experiment and then scale is crucial. Among the key factors, they need to consider the underlying hardware, the chosen cloud environment, and the machine learning tools available. Open source is widely adopted in the AI ecosystem. However, challenges such as security, user management, or tool integration are still barriers to adoption.
October 2024