Heartbeat

SEPTEMBER 22, 2023

I write about Machine Learning on Medium || Github || Kaggle || Linkedin. ? Introduction In the world of machine learning, where algorithms learn from data to make predictions, it’s important to get the best out of our models. Machine Learning Lifecycle (Image by Author) 2.

Machine Learning 64

Machine Learning ML Algorithm Automation 64

AWS Machine Learning Blog

APRIL 22, 2024

Typically, HyperPod clusters are used by multiple users: machine learning (ML) researchers, software engineers, data scientists, and cluster administrators. Typically, HyperPod clusters are used by multiple users: machine learning (ML) researchers, software engineers, data scientists, and cluster administrators.

Software Engineer 86

Software Engineer Software Development Machine Learning ML 86

AWS Machine Learning Blog

JUNE 8, 2023

Data scientists need a consistent and reproducible environment for machine learning (ML) and data science workloads that enables managing dependencies and is secure. To improve this experience, we announced a public beta of the SageMaker open-source distribution at 2023 JupyterCon. An existing SageMaker domain.

Data Scientist 75

Data Scientist ML Machine Learning Deep Learning 75

Heartbeat

FEBRUARY 2, 2024

This opens up new possibilities for sophisticated interactions between machines and humans, heralding a transformative era in the field of artificial intelligence. This opens up new possibilities for sophisticated interactions between machines and humans, heralding a transformative era in the field of artificial intelligence.

Computer Vision 52

Computer Vision Natural Language Processing Artificial Intelligence Artificial Intelligence 52

Heartbeat

DECEMBER 27, 2023

Photo by Ian Taylor on Unsplash This article will comprehensively create, deploy, and execute machine learning application containers using the Docker tool. It will further explain the various containerization terms and the importance of this technology to the machine learning workflow. What is Virtualization?

Machine Learning 52

Machine Learning Python ML Categorization 52

AWS Machine Learning Blog

NOVEMBER 15, 2023

Regardless of a developer’s choice between the basic or the advanced model, Meta’s responsible use guide is an invaluable resource for model enhancement and customization. In this post, we explore best practices for prompting the Llama 2 Chat LLM. Its model parameters scale from an impressive 7 billion to a remarkable 70 billion.

LLM 90

LLM Large Language Models Chatbots Generative AI 90

AWS Machine Learning Blog

SEPTEMBER 21, 2023

To add to our guidance for optimizing deep learning workloads for sustainability on AWS , this post provides recommendations that are specific to generative AI workloads. To add to our guidance for optimizing deep learning workloads for sustainability on AWS , this post provides recommendations that are specific to generative AI workloads.

Generative AI 100

Generative AI Prompt Engineer Prompt Engineering Deep Learning 100