Dataconomy

JANUARY 24, 2024

In the upcoming years, Vietnam is projected to identify itself as a significant hub for artificial intelligence (AI) development. It is a result of a dedicated focus on the government’s strategy towards building a digital economy and society, with AI as its core component.

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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. To simplify, you can build a regression algorithm using a user’s previous ratings across different categories to infer their overall preferences.

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AWS Machine Learning Blog

MARCH 25, 2024

Amazon Transcribe is an AWS service that allows customers to convert speech to text in either batch or streaming mode. It uses machine learning–powered automatic speech recognition (ASR), automatic language identification, and post-processing technologies. For more information about data privacy, see the Data Privacy FAQ.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

The IDP Well-Architected Lens is intended for all AWS customers who use AWS to run intelligent document processing (IDP) solutions and are searching for guidance on how to build secure, efficient, and reliable IDP solutions on AWS.

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Becoming Human

JUNE 14, 2023

Introduction: In today’s fast-paced business world, Artificial Intelligence (AI) is becoming increasingly important in helping companies stay competitive. With the power to automate routine tasks, make data-driven decisions, and unlock new opportunities, AI is transforming the way we work and live. Let’s dive in.

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AWS Machine Learning Blog

SEPTEMBER 7, 2023

The algorithm trained in this blog post is called “ Conservative Q Learning ” (CQL). Measurement data is produced at the edge by a piece of industrial equipment (here simulated by an AWS Lambda function). AWS Glue catalogs the data and makes it queryable using Amazon Athena. Train the algorithm on that data.

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Dataconomy

MARCH 13, 2023

The creation of artificial intelligence (AI) has long been a dream of scientists, engineers, and innovators. With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. How to create an artificial intelligence?

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AWS Machine Learning Blog

DECEMBER 14, 2023

In November 2022, we announced that AWS customers can generate images from text with Stable Diffusion models in Amazon SageMaker JumpStart , a machine learning (ML) hub offering models, algorithms, and solutions. This technique is particularly useful for knowledge-intensive natural language processing (NLP) tasks.

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AWS Machine Learning Blog

NOVEMBER 17, 2023

You can deploy this solution to your AWS account using the AWS Cloud Development Kit (AWS CDK) package available in our GitHub repo. This process involves the utilization of both ML and non-ML algorithms. It is a live processing service that enables near-real-time moderation.

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AWS Machine Learning Blog

AUGUST 2, 2023

Generative AI (GenAI) can be helpful in generating the metadata automatically. We demonstrate CDE using simple examples and provide a step-by-step guide for you to experience CDE in an Amazon Kendra index in your own AWS account. Images can often be searched using supplemented metadata such as keywords.

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AWS Machine Learning Blog

FEBRUARY 22, 2023

In this post, we discuss how Boomi used the bring-your-own-container (BYOC) approach to develop a new AI/ML enabled solution for their customers to tackle the “blank canvas” problem. However, the underlying algorithm for Step Suggest is complicated and proprietary. Boomi had significant success with their application of Markov chains.

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AWS Machine Learning Blog

APRIL 18, 2023

The following sections cover the business and technical challenges, the approach taken by the AWS and RallyPoint teams, and the performance of implemented solution that leverages Amazon Personalize. He specializes in building machine learning pipelines that involve concepts such as natural language processing and computer vision.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Amazon Bedrock provides a broad range of models from Amazon and third-party providers, including Anthropic, AI21, Meta, Cohere, and Stability AI, and covers a wide range of use cases, including text and image generation, embedding, chat, high-level agents with reasoning and orchestration, and more.

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Chatbots Life

APRIL 30, 2024

Why Are Automotive Industry Leaders Integrating Virtual Assistants and Other Generative AI-Driven Solutions? Among the tools pushing these changes, Generative AI stands out as a rapidly emerging force reshaping the sector. In fact, Gen AI is already making a noticeable impact on automotive businesses. million by 2032.

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AWS Machine Learning Blog

MARCH 1, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. Hybrid search overview Hybrid search takes advantage of the strengths of multiple search algorithms, integrating their unique capabilities to enhance the relevance of returned search results. billion, $6.1 billion, and $5.9 billion, $24.9

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AWS Machine Learning Blog

NOVEMBER 27, 2023

Generative artificial intelligence ( generative AI ) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. While this data holds valuable insights, its unstructured nature makes it difficult for AI algorithms to interpret and learn from it. read HTML).

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Mlearning.ai

JUNE 14, 2023

Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1)

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ODSC - Open Data Science

AUGUST 15, 2023

Advancements in data science and AI are coming at a lightning-fast pace. Full-Stack Machine Learning for Data Scientists Hugo Bowne-Anderson, PhD | Head of Data Science Evangelism and Marketing | Outerbounds This session will address the issue of how to make the life cycle of a machine learning project a repeatable process.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. Companies are finding NLP to be one of the best applications of AI regardless of industry.

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AWS Machine Learning Blog

AUGUST 14, 2023

Amazon SageMaker JumpStart is a machine learning (ML) hub offering algorithms, models, and ML solutions. Question answering Context: NLP Cloud was founded in 2021 when the team realized there was no easy way to reliably leverage Natural Language Processing in production. Question: When was NLP Cloud founded?

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AWS Machine Learning Blog

DECEMBER 14, 2023

Amazon Comprehend is a natural-language processing (NLP) service that provides pre-trained and custom APIs to derive insights from textual data. To reduce the effort of preparing training data, we built a pre-labeling tool using AWS Step Functions that automatically pre-annotates documents by using existing tabular entity data.

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Flipboard

FEBRUARY 15, 2023

Amazon SageMaker JumpStart is the machine learning (ML) hub of SageMaker that offers over 350 built-in algorithms, pre-trained models, and pre-built solution templates to help you get started with ML fast. SageMaker projects are provisioned using AWS Service Catalog products. This template creates the following architecture.

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AWS Machine Learning Blog

AUGUST 16, 2023

Travelers collaborated with the Amazon Machine Learning Solutions Lab (now known as the Generative AI Innovation Center ) to develop this framework to support and enhance aerial imagery model use cases. parquet s3://bigearthnet-s2-dataset/metadata/ aws s3 cp BigEarthNet-v1.0/ tif" --include "_B03.tif" tif" --include "_B04.tif"

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AWS Machine Learning Blog

AUGUST 21, 2023

Background One specific application of ML algorithms in the medical domain, which uses large volumes of text, is clinical decision support systems (CDSSs) for triage. Predictions of these are now highly achievable from admission notes alone, through the use of natural language processing (NLP) algorithms [1].

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AWS Machine Learning Blog

APRIL 27, 2023

We collect two such datasets of human feedback in the form of (correction, explanation, error type) for StrategyQA and Sports Understanding datasets, and evaluate several common algorithms to learn from such feedback. We propose multiple training algorithms to learn from the collected feedback. 31.28% Factual Error 27.6%

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AWS Machine Learning Blog

MAY 25, 2023

One of the most common applications of generative AI and large language models (LLMs) in an enterprise environment is answering questions based on the enterprise’s knowledge corpus. Amazon Lex provides the framework for building AI based chatbots. Amazon SageMaker Processing jobs for large scale data ingestion into OpenSearch.

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AWS Machine Learning Blog

SEPTEMBER 22, 2023

The resulting preference data is used to train a reward model which in turn is used by a reinforcement learning algorithm called Proximal Policy Optimization (PPO) to train the supervised fine-tuned model. For more information, refer to the AWS Sagemaker Developer Guide’s documentation on “ Clean Up ”.

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Dataconomy

SEPTEMBER 4, 2023

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. It’s particularly valuable for forecasting demand, identifying potential risks, and optimizing processes.

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Mlearning.ai

MAY 23, 2023

Check out this course to upskill on Apache Spark —  [link] Cloud Computing technologies such as AWS, GCP, Azure will also be a plus. Check this course to upskill on AWS —  [link] Domain Knowledge Having expertise in a specific industry domain, such as finance, healthcare, or marketing, can be advantageous.

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AWS Machine Learning Blog

FEBRUARY 16, 2023

Amazon Kendra is a highly accurate and intelligent search service that enables users to search for answers to their questions from your unstructured and structured data using natural language processing and advanced search algorithms. Kruthi Jayasimha Rao is a Partner Solutions Architect with a focus in AI and ML.

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AWS Machine Learning Blog

MAY 2, 2023

Managed Spot Training is supported in all AWS Regions where Amazon SageMaker is currently available. If the in-memory FAISS doesn’t fit into your large dataset, we provide you with a SageMaker KNN algorithm to perform the semantic search, which also uses FAISS as the underlying searching algorithm.

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AWS Machine Learning Blog

MAY 3, 2023

Feature engineering refers to the process where relevant variables are identified, selected, and manipulated to transform the raw data into more useful and usable forms for use with the ML algorithm used to train a model and perform inference against it.

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AWS Machine Learning Blog

MAY 16, 2023

JumpStart is the machine learning (ML) hub of Amazon SageMaker that provides access to foundation models in addition to built-in algorithms and end-to-end solution templates to help you quickly get started with ML. It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document.

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Pickl AI

JULY 20, 2023

Techniques like regression analysis, time series forecasting, and machine learning algorithms are used to predict customer behavior, sales trends, equipment failure, and more. Use machine learning algorithms to build a fraud detection model and identify potentially fraudulent transactions.

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AWS Machine Learning Blog

APRIL 25, 2024

The transformative power of advanced summarization capabilities will only continue growing as more industries adopt artificial intelligence (AI) to harness overflowing information streams. This approach requires a deeper understanding of the text, because the AI needs to interpret the meaning and then express it in a new, concise form.

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AWS Machine Learning Blog

OCTOBER 10, 2023

Sagemaker JumpStart is the machine learning (ML) hub of SageMaker that provides access to foundation models in addition to built-in algorithms and end-to-end solution templates to help you quickly get started with ML. Rachna Chadha is a Principal Solution Architect AI/ML in Strategic Accounts at AWS.

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Mlearning.ai

JUNE 23, 2023

Relational databases (like MySQL) or No-SQL databases (AWS DynamoDB) can store structured or even semi-structured data but there is one inherent problem. Options (Free vs Paid) Closing Introduction In today’s increasingly globalized world, the ability to communicate in multiple languages has become a highly valuable skill.

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