TheSequence

MAY 24, 2023

Since a lot of developers are working on Python we continued to trainStarCoder for about 35B tokens (~3% of full training) on the Python subset which lead to a significant performance boost. data or auto-generated files). cell outputs) for code completion in Jupyter notebooks (see this Jupyter plugin ).

Auto-complete 59

Auto-complete ML Python Machine Learning 59

Heartbeat

SEPTEMBER 6, 2023

Comet Comet is a machine learning platform built to help data scientists and ML engineers track, compare, and optimize machine learning experiments. We can install this library in the same way as other Python libraries, using pip . This dataset consists of 60,000 training grayscale images of handwritten digits between 0 to 9.

Machine Learning 52

Machine Learning Deep Learning Auto-complete Data Scientist 52

AWS Machine Learning Blog

NOVEMBER 9, 2023

Create a KMS key in the dev account and give access to the prod account Complete the following steps to create a KMS key in the dev account: On the AWS KMS console, choose Customer managed keys in the navigation pane. Choose Create key. For Key type , select Symmetric. For Script Path , enter Jenkinsfile. Choose Save.

Data Drift 99

Data Drift Auto-complete ML Automation 99

DataRobot Blog

JANUARY 10, 2023

DataRobot Notebooks is a fully hosted and managed notebooks platform with auto-scaling compute capabilities so you can focus more on the data science and less on low-level infrastructure management. We will be writing code in Python, but DataRobot Notebooks also supports R if that’s your preferred language. Auto-scale compute.

Auto-classification 52

Auto-classification Auto-complete Data Scientist Data Science 52

AWS Machine Learning Blog

JUNE 13, 2023

This post is co-written with Jad Chamoun, Director of Engineering at Forethought Technologies, Inc. and Salina Wu, Senior ML Engineer at Forethought Technologies, Inc. In addition, deployments are now as simple as calling Boto3 SageMaker APIs and attaching the proper auto scaling policies. 2xlarge instances.

Generative AI 65

Generative AI Auto-complete AI Modeling Machine Learning 65

AWS Machine Learning Blog

SEPTEMBER 18, 2023

ML engineers must handle parallelization, scheduling, faults, and retries manually, requiring complex infrastructure code. In this post, we discuss the benefits of using Ray and Amazon SageMaker for distributed ML, and provide a step-by-step guide on how to use these frameworks to build and deploy a scalable ML workflow.

Machine Learning 100

Machine Learning ML Python Auto-complete 100

Pickl AI

JANUARY 23, 2023

It supports languages like Python and R and processes the data with the help of data flow graphs. It is an open-source framework that is written in Python and can efficiently operate on both GPUs and CPUs. Keras supports a high-level neural network API written in Python. It is an open source framework.

Machine Learning 52

Machine Learning ML Neural Network Auto-classification 52