Cover Image for Interview "2025 LLM Playbook: SLMs, Model Flexibility, and Deployment Best Practices"
Cover Image for Interview "2025 LLM Playbook: SLMs, Model Flexibility, and Deployment Best Practices"
Spread awareness of open-source languages and tools within the data science and data-centric community.
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Interview "2025 LLM Playbook: SLMs, Model Flexibility, and Deployment Best Practices"

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This talk will be livestreamed on all official ODSC social media - Linkedin, Facebook, Youtube etc.

You may join interview via one of the following links: 

https://www.youtube.com/watch?v=_O_XtZcQ6D0

https://www.linkedin.com/events/7270116198887903232/comments/

https://www.facebook.com/events/489709800190072

Guest: Ivan Lee, Founder and CEO at Datasaur


Ivan, a Stanford Computer Science graduate, founded Loki Studios, a successful mobile gaming company acquired by Yahoo. He spent a decade building AI products at tech giants like Yahoo and Apple. Recognizing the gap in NLP technology accessibility, he founded Datasaur, a platform democratizing NLP and LLM access. Backed by top-tier investors like OpenAI's Greg Brockman, Datasaur serves renowned companies such as Google, Netflix, and Spotify.

As Large Language Models (LLMs) continue to revolutionize industries, the focus in 2025 shifts towards optimizing their deployment and management. This interview explores critical trends, including the rise of Small Language Models (SLMs), the importance of model flexibility, and best practices for successful LLM integration.
This session offers valuable insights for organizations aiming to harness the power of LLMs while addressing the complexities of their implementation.

Some useful links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
ODSC blog: https://opendatascience.com/
Slack Channel: https://hubs.li/Q02ZkDV90
Code of conduct: https://odsc.com/code-of-conduct/

Spread awareness of open-source languages and tools within the data science and data-centric community.
Hosted By
2 Went