Year in Review: LLMs & LLMOps, State of MLOps, and What's Next in 2024
December 22, 2023
On this special, end-of-the-year episode of the ML Platform Podcast, Piotr Niedzwiedzi and Aurimas Griciūnas discuss the state of MLOps and LLMOps, the impact of LLMs on layoffs and ML team composition, unsolved LLM challenges, use cases that don’t align with LLMs, MLOps and LLMOps predictions for 2024, and more.
With LLMs and AI being the center of discussion we also decided to experiment with generative AI for this video. Hope you don’t mind the experimentation.
On this special, end-of-the-year episode of the ML Platform Podcast, Piotr Niedzwiedzi and Aurimas Griciūnas discuss the state of MLOps and LLMOps, the impact of LLMs on layoffs and ML team composition, unsolved LLM challenges, use cases that don’t align with LLMs, MLOps and LLMOps predictions for 2024, and more.
With LLMs and AI being the center of discussion we also decided to experiment with generative AI for this video. Hope you don’t mind the experimentation.
Find the episode on our YouTube channel
Resources:
With LLMs and AI being the center of discussion we also decided to experiment with generative AI for this video. Hope you don’t mind the experimentation.
Find the episode on our YouTube channel
Resources:
- MLOps is an extension of DevOps. Not a fork
- ML Platform Teams, Features Stores, and Where MLOps Extends DevOps With Aurimas Griciunas
- Learnings From Building the ML Platform at Mailchimp With Mikiko Bazeley
- The state of applied ML by Tecton
- MLOps in 2023 by ClearML
Follow us & stay updated:
► Follow us on Linkedin
► Check our Github
► Join our Slack MLOps Community (#neptune-ai)
Connect with Piotr on Linkedin
Connect with Aurimas on Linkedin
► Follow us on Linkedin
► Check our Github
► Join our Slack MLOps Community (#neptune-ai)
Connect with Piotr on Linkedin
Connect with Aurimas on Linkedin
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