AWS Machine Learning Blog

AUGUST 2, 2023

As an example, a GenAI model can be used to generate a textual description for the following image as “a dog laying on the ground under an umbrella” during document ingestion of the image. In this post, we show how to use CDE in Amazon Kendra using a GenAI model deployed on Amazon SageMaker.

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IBM Journey to AI blog

MAY 17, 2024

Key takeaways By implementing effective solutions for AI in commerce, brands can create seamless, personalized buying experiences that increase customer loyalty, customer engagement, retention and share of wallet across B2B and B2C channels. AI models analyze vast amounts of data quickly and accurately.

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AWS Machine Learning Blog

JANUARY 12, 2023

At The Very Group , which operates digital retailer Very, security is a top priority in handling data for millions of customers. Amazon Comprehend is a fully managed and continuously trained natural language processing (NLP) service that can extract insight about the content of a document or text. Overview of solution.

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AWS Machine Learning Blog

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. One such component is a feature store, a tool that stores, shares, and manages features for machine learning (ML) models.

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AWS Machine Learning Blog

APRIL 24, 2023

According to a PWC report , 32% of retail customers churn after one negative experience, and 73% of customers say that customer experience influences their purchase decisions. In the global retail industry, pre- and post-sales support are both important aspects of customer care. Pro360 utilized this feature to build a model with 99.2%

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IBM Journey to AI blog

JULY 26, 2023

AI solutions work by collecting asset performance data and feeding it into machine learning models, which can predict asset health and risk of failure. In an advanced use case, generative AI models fine-tuned with a company’s sustainability policies could power an advisor application for activities such as supplier selection.

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AWS Machine Learning Blog

APRIL 5, 2023

The rise of text and semantic search engines has made ecommerce and retail businesses search easier for its consumers. Search engines powered by unified text and image can provide extra flexibility in search solutions. Contrastive Language-Image Pre-Training (CLIP) is a neural network trained on a variety of image and text pairs.

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Snorkel AI

AUGUST 17, 2023

Generative artificial intelligence models offer a wealth of capabilities. But developers can also use genAI models to quickly build predictive pipelines—the kinds of tasks such as classification or extraction, where the correct answer resides in a closed set of options. For better results, you need a dedicated classification model.

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Snorkel AI

AUGUST 17, 2023

Generative artificial intelligence models offer a wealth of capabilities. But developers can also use genAI models to quickly build predictive pipelines—the kinds of tasks such as classification or extraction, where the correct answer resides in a closed set of options. For better results, you need a dedicated classification model.

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Pickl AI

JULY 14, 2023

Even in the time of pandemic, AI has enabled in providing technical solutions to the people in terms of information inflow. Expert systems were further refined, and new programming languages like Prolog emerged. However, symbolic AI faced limitations in handling uncertainty and dealing with large-scale data.

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Iguazio

FEBRUARY 20, 2024

Customer engagement - Co-pilots that guide customers through personalized journeys and intelligent chatbots for enhanced 24/7 customer support, Coding acceleration - Interpreting, translating, and generating code (e.g., This is essential for ensuring high quality outputs, which lead to high quality models.

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AWS Machine Learning Blog

MAY 5, 2023

Voxel51 is the company behind FiftyOne, the open-source toolkit for building high-quality datasets and computer vision models. A retail company is building a mobile app to help customers buy clothes. You can use Ground Truth and FiftyOne to accelerate your data labeling project.

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Data Science Dojo

JANUARY 13, 2023

The conference features a wide range of topics within AI, including machine learning, natural language processing, computer vision, and robotics, as well as interdisciplinary areas such as AI and law, AI and education, and AI and the arts. It also includes tutorials, workshops, and invited talks by leading experts in the field.

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AWS Machine Learning Blog

FEBRUARY 14, 2024

With the advent of generative AI solutions, organizations are finding different ways to apply these technologies to gain edge over their competitors. Amazon Bedrock offers a choice of high-performing foundation models from leading AI companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, via a single API.

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AWS Machine Learning Blog

MARCH 15, 2024

Many organizations are implementing machine learning (ML) to enhance their business decision-making through automation and the use of large distributed datasets. This approach alleviates many data privacy concerns while enabling effective collaboration on model training.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Third, a number of sessions will be of interest to ML practitioners who build, deploy, and operationalize both traditional and generative AI models. The greater the power of latest transformer-based models, the greater the responsibility of all ML practitioners to do this right. This year, learn about LLMOps, not just MLOps!

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phData

AUGUST 8, 2023

In this blog, we will delve into how GPUs will be critical in the creation of advanced AI models as well as define how NVIDIA is already powering Gen AI development. How do GPUs Facilitate Model Training The GPU Advantage GPUs excel in handling multiple computations simultaneously.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications.

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AWS Machine Learning Blog

NOVEMBER 14, 2023

Today, we are excited to announce the capability to fine-tune the Mistral 7B model using Amazon SageMaker JumpStart. You can now fine-tune and deploy Mistral text generation models on SageMaker JumpStart using the Amazon SageMaker Studio UI with a few clicks or using the SageMaker Python SDK. license, for use without restrictions.

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Snorkel AI

MARCH 19, 2024

In the landscape of modern enterprise applications, large language models (LLMs) like Google Gemini and PaLM 2 stand at the forefront of transformative technologies. Enterprises that build and use LLMs for complex, business-critical AI applications must continuously monitor, evaluate, and update their models using their data.

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Snorkel AI

MARCH 19, 2024

In the landscape of modern enterprise applications, large language models (LLMs) like Google Gemini and PaLM 2 stand at the forefront of transformative technologies. Enterprises that build and use LLMs for complex, business-critical AI applications must continuously monitor, evaluate, and update their models using their data.

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IBM Journey to AI blog

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. Some AI platforms also provide advanced AI capabilities, such as natural language processing (NLP) and speech recognition.

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AWS Machine Learning Blog

OCTOBER 9, 2023

Machine learning (ML) can analyze large volumes of product reviews and identify patterns, sentiments, and topics discussed. You can use models to make predictions interactively and for batch scoring on bulk datasets. SageMaker Canvas offers fully-managed ready-to-use AI model and custom model solutions.

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The MLOps Blog

MAY 31, 2023

The problem is, with more ML models and systems in production, you need to set up more infrastructure to reliably manage everything. But first, let’s discuss core retail/eCommerce Machine Learning use cases that your ML platform can and should support. What are the model types that an eCommerce ML platform can support?

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IBM Journey to AI blog

DECEMBER 1, 2023

By creating an agile, flexible and scalable computing environment, hybrid cloud offers valuable use cases for businesses to accelerate growth and gain a competitive advantage. mainframe-based platforms) to deal with a large amount of sensitive data. What is hybrid cloud ? fast and secure mobile banking apps).

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ODSC - Open Data Science

JULY 6, 2023

Outlines offers a solution to these problems. Microsoft Introduces New LLM phi-1: Specialized in Python Coding Tasks A team from Microsoft introduced phi-1 to the world — a new transformer-based large language model for code that specializes in Python tasks. Register now–time is running out! Register now for 70% off.

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AWS Machine Learning Blog

MARCH 1, 2023

For example, a customer could select from a variety of colors, patterns, and styles, and AI models would generate a one-of-a-kind design based on those selections. This enables fashion designers and consumers to create virtual modeling images based on text prompts and choose their preferred styles.

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AWS Machine Learning Blog

OCTOBER 19, 2023

Customers increasingly want to use deep learning approaches such as large language models (LLMs) to automate the extraction of data and insights. To ensure customer privacy and maintain regulatory compliance while training, fine-tuning, and using deep learning models, it’s often necessary to first redact PII from source data.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

In the last few years Large Language Models (LLMs) have risen to prominence as outstanding tools capable of understanding, generating and manipulating text with unprecedented proficiency. Foundational Model (FM) providers train models that are general-purpose. Gathering evaluation data is vital for model providers.

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Flipboard

APRIL 13, 2023

Prime Air (our drones) and the computer vision technology in Amazon Go (our physical retail experience that lets consumers select items off a shelf and leave the store without having to formally check out) use deep learning. To give a sense for the change in scale, the largest pre-trained model in 2019 was 330M parameters.

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