amazon machine learning Archives

Amazon Sagemaker Jumpstart Cheat Sheet
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Amazon Sagemaker Jumpstart Cheat Sheet

Joshua Emmanuel Santiago2026-01-12T07:23:56+00:00

Bookmarks Features How It Works Implementation Use Cases Integration Best Practices Pricing A centralized machine learning hub within Amazon SageMaker AI designed to drastically reduce the time and expertise required to build, train, and deploy models. It provides instant access to a curated catalog of production-ready assets. Features Foundation Models Hub Access a broad selection of state-of-the-art foundation models from providers like AI21 Labs, Cohere, Meta, Mistral AI, and Stability AI, alongside hundreds of open-source models from Hugging Face. You can evaluate, compare, and perform tasks like text summarization, [...]

Amazon Sagemaker Jumpstart Cheat SheetJoshua Emmanuel Santiago2026-01-12T07:23:56+00:00

Mastering Prompt Engineering for AWS Large Language Models (LLMs)
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Mastering Prompt Engineering for AWS Large Language Models (LLMs)

Ace Kenneth Batacandulo2024-11-30T03:16:36+00:00

In the rapidly evolving world of Artificial Intelligence (AI) and Machine Learning (ML), Prompt Engineering has become a cornerstone skill for effectively harnessing the power of Large Language Models (LLMs). These models transform industries, power intelligent chatbots, automate workflows, and redefine customer experiences. Yet, the key to unlocking their full potential is crafting clear, precise prompts tailored to specific tasks. Far from being a mere technical skill, Prompt Engineering shapes the interaction between humans and AI, directly influencing the accuracy, efficiency, and reliability of AI-driven solutions. This skill takes on even greater importance in the AWS ecosystem with tools like [...]

Mastering Prompt Engineering for AWS Large Language Models (LLMs)Ace Kenneth Batacandulo2024-11-30T03:16:36+00:00

Deploying a Serverless Inference Endpoint with Amazon SageMaker
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Deploying a Serverless Inference Endpoint with Amazon SageMaker

John Patrick Laurel2023-12-27T11:56:32+00:00

Introduction Welcome to our deep dive into the world of serverless machine learning (ML) inference using Amazon SageMaker. In this blog post, we will explore the innovative and efficient approach of deploying ML models without the need for managing servers, a method known as serverless inference. What is Serverless Inference? Serverless inference is a cloud computing execution model where the cloud provider dynamically manages the allocation of machine resources. The key advantage here is that it abstracts the underlying infrastructure, allowing developers and data scientists to focus solely on their application logic. This approach offers several benefits: Cost-Effectiveness: You pay [...]

Deploying a Serverless Inference Endpoint with Amazon SageMakerJohn Patrick Laurel2023-12-27T11:56:32+00:00

Securing Your Repositories with AWS CodeGuru: How Machine Learning Can Improve Your Code Quality and Security
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Securing Your Repositories with AWS CodeGuru: How Machine Learning Can Improve Your Code Quality and Security

Amiel Palacol2023-06-12T14:35:26+00:00

Ensuring code quality and security is of utmost importance in the ever-evolving field of software development. However, traditional code review practices can be time-consuming and prone to errors, often resulting in overlooked vulnerabilities. Fortunately, the combination of machine learning (ML) and cloud computing has given rise to innovative solutions like AWS CodeGuru, empowering developers to significantly improve code quality and security. This article explores the capabilities of AWS CodeGuru and how it utilizes ML to safeguard your repositories and enhance your development process. Understanding AWS CodeGuru AWS CodeGuru is a cloud-based service that employs ML algorithms to analyze code [...]

Securing Your Repositories with AWS CodeGuru: How Machine Learning Can Improve Your Code Quality and SecurityAmiel Palacol2023-06-12T14:35:26+00:00

AWS re:Invent 2022 Announcements for AWS Machine Learning Engineers and Data Scientists
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AWS re:Invent 2022 Announcements for AWS Machine Learning Engineers and Data Scientists

Joshua Arvin Lat2023-04-27T03:58:46+00:00

Every year, professionals all around the world attend the most transformative tech event — AWS re:Invent. Here, a LOT of new AWS services and capabilities are announced and discussed. In this post, we will focus on the major announcements relevant to data scientists and ML engineers! A Gentle Introduction to Amazon SageMaker The major announcements discussed in this post focus on SageMaker, so we will spend a paragraph or two quickly talking about the service. Amazon SageMaker is the machine learning platform of AWS that helps solve a variety of requirements of data scientists, developers, and machine learning practitioners in [...]

AWS re:Invent 2022 Announcements for AWS Machine Learning Engineers and Data ScientistsJoshua Arvin Lat2023-04-27T03:58:46+00:00

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