AWS Machine Learning Blog

DECEMBER 19, 2023

Artificial intelligence (AI) and machine learning (ML) are becoming an integral part of systems and processes, enabling decisions in real time, thereby driving top and bottom-line improvements across organizations. However, putting an ML model into production at scale is challenging and requires a set of best practices.

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AWS Machine Learning Blog

JANUARY 5, 2024

This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models.

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AWS Machine Learning Blog

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. All the principles of the AWS Shared Responsibility Model are applicable to generative AI solutions.

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IBM Journey to AI blog

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029. At Facebook Messenger, ML powers customer service chatbots.

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Heartbeat

JUNE 12, 2023

Source: Author Introduction Machine learning model monitoring tracks the performance and behavior of a machine learning model over time. It involves collecting and analyzing data on various aspects of the model’s performance, including its accuracy, precision, recall, and F1 score, as well as its bias , fairness , and stability.

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IBM Journey to AI blog

JULY 11, 2023

Better machine learning (ML) algorithms, more access to data, cheaper hardware and the availability of 5G have contributed to the increasing application of AI in the healthcare industry, accelerating the pace of change. An MIT group developed an ML algorithm to determine when a human expert is needed. One example is diabetes.

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Heartbeat

OCTOBER 30, 2023

Ensuring Long-Term Performance and Adaptability of Deployed Models Source: [link] Introduction When working on any machine learning problem, data scientists and machine learning engineers usually spend a lot of time on data gathering , efficient data preprocessing , and modeling to build the best model for the use case.

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Marktechpost

JULY 14, 2023

Research into computer architecture has a long history of producing simulators and tools for assessing and influencing computer system design. Research in computer architecture has made great strides because of simulations and tools like gem5, DRAMSys, and many others. identifying the best solution for a DRAM controller).

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Heartbeat

FEBRUARY 1, 2023

Machine learning has become an essential part of our lives because we interact with various applications of ML models, whether consciously or unconsciously. Machine Learning Operations (MLOps) are the aspects of ML that deal with the creation and advancement of these models. What is MLOps? What is MLOps?

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AWS Machine Learning Blog

NOVEMBER 22, 2023

By using the Framework, you will learn operational and architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable workloads in the cloud. This custom lens integrates best practices and guidance to effectively navigate and overcome common challenges in the management of IDP workloads.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. Amazon SageMaker provides purpose-built tools for machine learning operations (MLOps) to help automate and standardize processes across the ML lifecycle. Philips is a health technology company focused on improving people’s lives through meaningful innovation.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

The AWS Well-Architected Framework provides a systematic way for organizations to learn operational and architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable workloads in the cloud. The monitoring behind the serverless design assists in detecting performance issues.

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deepsense.ai

JULY 30, 2023

The recent strides made in the field of machine learning have given us an array of powerful language models and algorithms. These models offer tremendous potential but also bring a unique set of challenges when it comes to building large-scale ML projects. But what happens next?

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Heartbeat

SEPTEMBER 18, 2023

Unleashing Innovation and Success: Comet — The Trusted ML Platform for Enterprise Environments Machine learning (ML) is a rapidly developing field, and businesses are increasingly depending on ML platforms to fuel innovation, improve efficiency, and mine data for insights.

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IBM Journey to AI blog

MAY 26, 2023

Leading life science companies are leveraging cloud for innovation around operational, revenue and business models. AWS Shared Responsibility Model When it comes to security, AWS follows a Shared Responsibility Model between the customer and AWS.

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Flipboard

JUNE 11, 2023

SAIF draws inspiration from security best practices in software development and incorporates an understanding of security risks specific to AI systems. SAIF addresses risks such as model theft, data poisoning, malicious input injection, and confidential information extraction from training data.

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AWS Machine Learning Blog

FEBRUARY 13, 2024

Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. Features are inputs to ML models used during training and inference. Additionally, usage details of shared resources can be monitored with Amazon CloudWatch and AWS CloudTrail.

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Heartbeat

SEPTEMBER 22, 2023

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. But how do we ensure that our models perform at their best? Model Performance (Image by Author) 1. This is where hyperparameter tuning comes in.

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IBM Journey to AI blog

AUGUST 23, 2023

The recent success of artificial intelligence based large language models has pushed the market to think more ambitiously about how AI could transform many enterprise processes. However, consumers and regulators have also become increasingly concerned with the safety of both their data and the AI models themselves.

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AWS Machine Learning Blog

MAY 23, 2023

This is a guest blog post co-written with Vik Pant and Kyle Bassett from PwC. With organizations increasingly investing in machine learning (ML), ML adoption has become an integral part of business transformation strategies. Many organizations start their journey into the world of ML with a model-centric viewpoint.

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IBM Journey to AI blog

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. However, if AGI development uses similar building blocks as narrow AI, some existing tools and technologies will likely be crucial for adoption.

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IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. When used strategically, text-mining tools can transform raw data into real business intelligence , giving companies a competitive edge. What is text mining? How does text mining work?

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Heartbeat

JULY 31, 2023

However, training and deploying large-scale machine learning models can be a complex and time-consuming process. Comet’s machine learning platform integrates with your existing infrastructure and tools so you can manage, visualize, and optimize models from training runs to production monitoring.

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DataRobot Blog

FEBRUARY 28, 2023

Maximizing Existing Snowflake Investments Some businesses have spent significant money on tools to remain innovative and competitive. Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI.

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Pickl AI

JANUARY 30, 2023

It’s a universal programming language that finds application in different technologies like AI, ML, Big Data and others. In this blog, we are going to explore details about a career in Python and what are the new Python jobs for freshers. Model Development: Use libraries such as TensorFlow, Keras, PyTorch, scikit-learn, etc.,

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AWS Machine Learning Blog

FEBRUARY 6, 2024

These events can be reported anywhere, from hospitals or at home, and must be responsibly and efficiently monitored. In this post, we show how to develop an ML-driven solution using Amazon SageMaker for detecting adverse events using the publicly available Adverse Drug Reaction Dataset on Hugging Face.

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AWS Machine Learning Blog

JULY 6, 2023

Many organizations choose SageMaker as their ML platform because it provides a common set of tools for developers and data scientists. In this post, we cover the benefits for SaaS platforms to integrate with SageMaker, the range of possible integrations, and the process for developing these integrations.

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Towards AI

FEBRUARY 21, 2023

While many see ChatGPT as a leap forward technologically, its true spark wasn’t based on a dramatic technological step change (GPT3, the model it is based on has been around for almost 3 years), but instead on the fact that it was an AI application perfectly calibrated towards individual human interactions.

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The MLOps Blog

MARCH 28, 2023

And because it takes more than technologies and processes to succeed with MLOps, he will also share details on: 1 Brainly’s ML use cases, 2 MLOps culture, 3 Team structure, 4 And technologies Brainly uses to deliver AI services to its clients, Enjoy the article! Multiple AI teams also contribute to ML infrastructure initiatives.

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TheSequence

MARCH 11, 2024

To successfully build an AI application, evaluating the performance of large language models (LLMs) is crucial. This post is a shortened version of Peter’s original blog, titled 'Evaluating LLM Applications '. Often used when a more nuanced or detailed evaluation of the model's output is required.

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Heartbeat

JANUARY 3, 2024

Enter machine learning (ML) , the technological powerhouse that has revolutionized industries from healthcare to finance, with its unparalleled ability to analyze vast datasets, identify patterns, and make predictions. But can ML also be the game-changer in our fight against climate change?

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Heartbeat

JANUARY 9, 2024

Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). We must create new tools and best practices to manage the LLM application lifecycle to address these issues. What is LLMOps?

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AWS Machine Learning Blog

FEBRUARY 22, 2023

Boomi is an enterprise-level software as a service (SaaS) independent software vendor (ISV) that creates developer enablement tooling for software engineers. These tools integrate via API into Boomi’s core service offering. The Boomi team uses the SageMaker BYOC paradigm to support their custom model.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

AutoML allows you to derive rapid, general insights from your data right at the beginning of a machine learning (ML) project lifecycle. Understanding up front which preprocessing techniques and algorithm types provide best results reduces the time to develop, train, and deploy the right model.

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. However, bringing such solutions and models to the business-as-usual operations is not an easy task. Our approach applies to both open-source and proprietary models equally.

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Marktechpost

JULY 1, 2023

An AI text generator can aid in better and faster work if you prompt a suitably trained tool. is an AI-driven copywriting tool that facilitates the creation of persuasive content for businesses. Cookies are used by this tool to provide a more personalized experience and for advertising. Human++, Inc.

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Marktechpost

JUNE 16, 2023

This article reviews the best artificial intelligence tools for an online store in 2023. The best part is that it’s costless for your mobile device. Background eraser, object removal magic eraser, image upscaler, and more are just some of the free tools available from Pixelcut. Is there a Christmas sale going on?

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