Data Science Dojo

APRIL 8, 2024

The modern era of generative AI is now talking about machine unlearning. This blog explores the impact of machine unlearning in improving the results of generative AI. During machine unlearning, an ML model discards previously learned information and or patterns from its knowledge base.

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NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. Data scientists and ML engineers require capable tooling and sufficient compute for their work.

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OCTOBER 25, 2023

However, with the help of AI and machine learning (ML), new software tools are now available to unearth the value of unstructured data. Additionally, we show how to use AWS AI/ML services for analyzing unstructured data. A metadata layer helps build the relationship between the raw data and AI extracted output.

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JULY 4, 2023

Famous LLMs like GPT, BERT, PaLM, and LLaMa are revolutionizing the AI industry by imitating humans. What are Vector Databases? A new and unique type of database that is gaining immense popularity in the fields of AI and Machine Learning is the vector database.

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AWS Machine Learning Blog

APRIL 3, 2025

Thats why we at Amazon Web Services (AWS) are working on AI Workforcea system that uses drones and AI to make these inspections safer, faster, and more accurate. This post is the first in a three-part series exploring AI Workforce, the AWS AI-powered drone inspection system. What does AI Workforce look like in action?

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AWS Machine Learning Blog

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. Many commercial generative AI solutions available are expensive and require user-based licenses.

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Data Science Dojo

APRIL 25, 2023

It is a programming language used to manipulate data stored in relational databases. Here are some essential SQL concepts that every data scientist should know: First, understanding the syntax of SQL statements is essential in order to retrieve, modify or delete information from databases.

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insideBIGDATA

JUNE 22, 2023

company (NASDAQ: AMZN), today announced the AWS Generative AI Innovation Center, a new program to help customers successfully build and deploy generative artificial intelligence (AI) solutions. (AWS), an Amazon.com, Inc.

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NOVEMBER 19, 2024

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon Web Services available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case.

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Dataconomy

DECEMBER 18, 2024

AI is rapidly taking its place in the market, penetrating new application areas in ways we couldnt imagine, including AI cybersecurity solutions. The reason is clear: AIs potential for improving efficiency is almost limitless. The use of AI is evident on both sides of the barricades: by attackers and defenders alike.

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Flipboard

JANUARY 24, 2025

A common use case with generative AI that we usually see customers evaluate for a production use case is a generative AI-powered assistant. If there are security risks that cant be clearly identified, then they cant be addressed, and that can halt the production deployment of the generative AI application.

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AWS Machine Learning Blog

OCTOBER 24, 2024

Machine learning (ML) helps organizations to increase revenue, drive business growth, and reduce costs by optimizing core business functions such as supply and demand forecasting, customer churn prediction, credit risk scoring, pricing, predicting late shipments, and many others. Database name : Enter dev. Choose Add connection.

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AWS Machine Learning Blog

NOVEMBER 7, 2024

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle. Generative AI gateway Shared components lie in this part.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. And although generative AI has appeared in previous events, this year we’re taking it to the next level. And although our track focuses on generative AI, many other tracks have related sessions.

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Flipboard

JANUARY 14, 2025

With the general availability of Amazon Bedrock Agents , you can rapidly develop generative AI applications to run multi-step tasks across a myriad of enterprise systems and data sources. This vector database will store the vector representations of your documents, serving as a key component of your local Knowledge Base.

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Dataconomy

MARCH 27, 2023

However, while RPA and ML share some similarities, they differ in functionality, purpose, and the level of human intervention required. In this article, we will explore the similarities and differences between RPA and ML and examine their potential use cases in various industries. What is machine learning (ML)?

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Data Science Dojo

FEBRUARY 23, 2024

These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. However, unlike the common app stores, this platform is focused on making AI-powered solutions more accessible to different community members. What is OpenAI’s GPT Store?

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Dataconomy

MARCH 3, 2025

Thanks to machine learning (ML) and artificial intelligence (AI), it is possible to predict cellular responses and extract meaningful insights without the need for exhaustive laboratory experiments. They introduce PERTURBQA , a benchmark designed to align AI-driven perturbation models with real biological decision-making.

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AWS Machine Learning Blog

JANUARY 24, 2024

Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) with these solutions has become increasingly popular. The user query is used to retrieve relevant additional context from the vector database. Who has access to the data?

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Data Science Dojo

MAY 7, 2024

Artificial intelligence (AI) is driving technological development in the modern world, leading to automation, improved content generation, enhanced user experience, and much more. Using AI tools that range from complex programs used by data scientists to user-friendly apps for everyday tasks, AI is transforming the way we work.

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AWS Machine Learning Blog

NOVEMBER 18, 2024

In this post, we explain how InsuranceDekho harnessed the power of generative AI using Amazon Bedrock and Anthropic’s Claude to provide responses to customer queries on policy coverages, exclusions, and more. The company’s mission is to make insurance transparent, accessible, and hassle-free for all customers through tech-driven solutions.

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Towards AI

FEBRUARY 21, 2024

Author(s): Alessandro Amenta Originally published on Towards AI. Image generated with DALL-E 3 In the fast-paced world of Machine Learning (ML) research, keeping up with the latest findings is crucial and exciting, but let’s be honest — it’s also a challenge. What’s the next big thing in ML?

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AWS Machine Learning Blog

OCTOBER 29, 2024

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. In the context of Amazon Bedrock , observability and evaluation become even more crucial.

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IBM Data Science in Practice

MARCH 8, 2023

The United States published a Blueprint for the AI Bill of Rights. The growth of the AI and Machine Learning (ML) industry has continued to grow at a rapid rate over recent years. Source: A Chat with Andrew on MLOps: From Model-centric to Data-centric AI So how does this data-centric approach fit in with Machine Learning? — Features

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AWS Machine Learning Blog

FEBRUARY 13, 2025

AI agents continue to gain momentum, as businesses use the power of generative AI to reinvent customer experiences and automate complex workflows. In this post, we explore how to build an application using Amazon Bedrock inline agents, demonstrating how a single AI assistant can adapt its capabilities dynamically based on user roles.

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DECEMBER 11, 2024

Second, because data, code, and other development artifacts like machine learning (ML) models are stored within different services, it can be cumbersome for users to understand how they interact with each other and make changes. SageMaker Unied Studio is an integrated development environment (IDE) for data, analytics, and AI.

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insideBIGDATA

MARCH 7, 2023

Databricks, the lakehouse company, announced the launch of Databricks Model Serving to provide simplified production machine learning (ML) natively within the Databricks Lakehouse Platform. Model Serving removes the complexity of building and maintaining complicated infrastructure for intelligent applications.

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AWS Machine Learning Blog

DECEMBER 3, 2024

New Relic is addressing these challenges by creating the New Relic AI custom plugin for Amazon Q Business. By using AI and New Relic’s comprehensive observability data, companies can help prevent issues, minimize incidents, reduce downtime, and maintain high-quality digital experiences. These outages can cost up to $1.9

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AWS Machine Learning Blog

NOVEMBER 29, 2023

Data preparation is a crucial step in any machine learning (ML) workflow, yet it often involves tedious and time-consuming tasks. With this integration, SageMaker Canvas provides customers with an end-to-end no-code workspace to prepare data, build and use ML and foundations models to accelerate time from data to business insights.

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AWS Machine Learning Blog

DECEMBER 23, 2024

Customers need better accuracy to take generative AI applications into production. To address this, customers often begin by enhancing generative AI accuracy through vector-based retrieval systems and the Retrieval Augmented Generation (RAG) architectural pattern, which integrates dense embeddings to ground AI outputs in relevant context.

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AWS Machine Learning Blog

MAY 8, 2024

They focused on improving customer service using data with artificial intelligence (AI) and ML and saw positive results, with their Group AI Maturity increasing from 50% to 80%, according to the TM Forum’s AI Maturity Index. million subscribers, which amounts to 57% of the Sri Lankan mobile market.

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Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. Artificial intelligence or AI as it is commonly called is a vast field of study that deals with empowering computers to be “Intelligent”. Which is also our topic today.

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Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. Artificial intelligence or AI as it is commonly called is a vast field of study that deals with empowering computers to be “Intelligent”. Which is also our topic today.

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Flipboard

AUGUST 17, 2023

Many practitioners are extending these Redshift datasets at scale for machine learning (ML) using Amazon SageMaker , a fully managed ML service, with requirements to develop features offline in a code way or low-code/no-code way, store featured data from Amazon Redshift, and make this happen at scale in a production environment.

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AWS Machine Learning Blog

NOVEMBER 13, 2024

It works by analyzing the visual content to find similar images in its database. In the context of generative AI , significant progress has been made in developing multimodal embedding models that can embed various data modalities—such as text, image, video, and audio data—into a shared vector space.

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NOVEMBER 19, 2024

Organizations of all sizes and types are using generative AI to create products and solutions. In this post, we show you how to manage user access to enterprise documents in generative AI-powered tools according to the access you assign to each persona. He helps customers build generative AI-based solutions to solve business problems.

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AWS Machine Learning Blog

MARCH 11, 2025

The growing need for cost-effective AI models The landscape of generative AI is rapidly evolving. Although GPT-4o has gained traction in the AI community, enterprises are showing increased interest in Amazon Nova due to its lower latency and cost-effectiveness. Each provisioned node was r7g.4xlarge, About FloTorch FloTorch.ai

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