ODSC - Open Data Science

DECEMBER 7, 2023

How to Add Domain-Specific Knowledge to an LLM Based on Your Data In this article, we will explore one of several strategies and techniques to infuse domain knowledge into LLMs, allowing them to perform at their best within specific professional contexts by adding chunks of documentation into an LLM as context when injecting the query.

Data Scientist 98

Data Scientist Explainable AI Data Science Python 98

The MLOps Blog

JANUARY 26, 2024

We’ll see how this architecture applies to different classes of ML systems, discuss MLOps and testing aspects, and look at some example implementations. Understanding machine learning pipelines Machine learning (ML) pipelines are a key component of ML systems. But what is an ML pipeline? What is a feature store?

Machine Learning 72

Machine Learning Metadata ML Python 72

AWS Machine Learning Blog

SEPTEMBER 18, 2023

SageMaker geospatial capabilities make it easy for data scientists and machine learning (ML) engineers to build, train, and deploy models using geospatial data. The results of SUEWS are then visualized, in this case with Arup’s existing geospatial data platform. nName: {} nID: {}".format(eoj["Name"],eoj["Arn"]))

Data Scientist 101

Data Scientist ML Machine Learning ML Engineer 101

Snorkel AI

JUNE 9, 2023

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions. Catch the sessions you missed!

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

Snorkel AI

JUNE 9, 2023

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions. Catch the sessions you missed!

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

Snorkel AI

MAY 26, 2023

The data scientists will start with experimentation, and then once they find some insights and the experiment is successful, then they hand over the baton to data engineers and ML engineers that help them put these models into production. And so that’s where we got started as a cloud data warehouse.

ML 52

ML Python Machine Learning Data Scientist 52

Snorkel AI

MAY 26, 2023

The data scientists will start with experimentation, and then once they find some insights and the experiment is successful, then they hand over the baton to data engineers and ML engineers that help them put these models into production. And so that’s where we got started as a cloud data warehouse.

ML 52

ML Python Machine Learning Data Scientist 52