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The Top Large Language Models of 2023, 8 Python Libraries You Should be Using, and Why You Need an…

ODSC - Open Data Science

The Top Large Language Models of 2023, 8 Python Libraries You Should be Using, and Why You Need an Observability Platform The Top Large Language Models Going Into 2024 Let’s explore the top large language models that made waves in 2023, and see why you should be using these LLMs in 2024. Register here!

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Ultralearning Product Data Science

Towards AI

Last Updated on July 20, 2023 by Editorial Team Author(s): Harsh Darji Originally published on Towards AI. Data Science The minimal effort maximum outcome way Happiness is not pleasure. Source: Unsplash Why Product Data Science? I am good with stats and decision-making!

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Top 10 ODSC West Sessions You Must Attend in 2023

Iguazio

ODSC West 2023, one of the leading AI conferences, will take place this year from Oct. Don’t miss this opportunity to hear from top speakers, get hands-on training, see demos from the latest innovators in the field and network with the data science community. To help, we put together a list of our top 10 recommended sessions.

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Making LLMs Friendly With Fine-Tuning, Open-Source Data Engineering Tools, and GPT Store Highlights

ODSC - Open Data Science

A Beginner’s Guide to Build Your Own LLM-Based Solutions With the KNIME AI Extension In this blog, learn how you can build your own LLM-based solutions using KNIME, a low-code/no-code analytics platform. People of all skill levels attend, and we love it that way. Register now for 50% off!

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. Open-source tools have gained significant traction due to their flexibility, community support, and adaptability to various workflows.

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Learnings From Building the ML Platform at Stitch Fix

The MLOps Blog

Stefan is a software engineer, data scientist, and has been doing work as an ML engineer. He also ran the data platform in his previous company and is also co-creator of open-source framework, Hamilton. Piotr: You have a super interesting background, and you have covered all the important check boxes there are nowadays.

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How to Use Exploratory Notebooks [Best Practices]

The MLOps Blog

Jupyter notebooks have been one of the most controversial tools in the data science community. Nevertheless, many data scientists will agree that they can be really valuable – if used well. I’ll show you best practices for using Jupyter Notebooks for exploratory data analysis.

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