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Unlocking the Potential of LLMs: From MLOps to LLMOps

Heartbeat

" — Ilya Sutskever In the ever-evolving landscape of technology, where innovation is the driving force, staying ahead of the curve is paramount. Consequently, the tech world is abuzz with the evolution of a groundbreaking methodology called "LLMOps." Their mission? "GPT is like alchemy!" — Ilya

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LLM Tech and a Lot More: Version 13.3 of Wolfram Language and Mathematica

Hacker News

And to me it’s incredible how far we’ve come in these 35 years—yet how consistent we’ve been in our mission and goals, and how well we’ve been able to just keep building on the foundations we created all those years ago. LLM Tech Comes to Wolfram Language LLMs make possible many important new things in the Wolfram Language.

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Learnings From Building the ML Platform at Mailchimp

The MLOps Blog

I was working as a data scientist, mentoring at two boot camps, and working on a real estate tech startup on the weekends. I started from tech, my first job was an internship at Google as a software engineer. It’s almost like a very specialized data storage solution. You have to follow your interests. For example, Feast.

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Meet the winners of the Unsupervised Wisdom Challenge!

DrivenData Labs

After exploring the data, specifically extracting insights from the narrative, I became quite intrigued and so went ahead iteratively developing my workflow. My Computer Science degree, MBA in Finance and 20 years in the tech field also help. Check out RyoyaKatafuchi's full write-up and solution in the competition repo.

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Dialogue-guided visual language processing with Amazon SageMaker JumpStart

AWS Machine Learning Blog

Its design ensures compatibility with various LLMs and, being open-source, democratizes advanced features for the tech community. VLP processing pipeline The main objective of the VLP processing pipeline is to combine the strengths of different models, creating a sophisticated workflow specialized for VLP.

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