Flipboard

JULY 31, 2023

Searching for the best AI blog writer to beef up your content strategy? But in this guide, we’ve curated a list of the top 10 AI blog writers to streamline your content creation. From decoding the complex algorithms to highlighting unique features, this article is your one-stop shop for finding the perfect AI blog writer for you.

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AWS Machine Learning Blog

NOVEMBER 13, 2024

By offering real-time translations into multiple languages, viewers from around the world can engage with live content as if it were delivered in their first language. In addition, the extension’s capabilities extend beyond mere transcription and translation. Chiara Relandini is an Associate Solutions Architect at AWS.

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Flipboard

FEBRUARY 11, 2025

This solution ingests and processes data from hundreds of thousands of support tickets, escalation notices, public AWS documentation, re:Post articles, and AWS blog posts. By using Amazon Q Business, which simplifies the complexity of developing and managing ML infrastructure and models, the team rapidly deployed their chat solution.

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AWS Machine Learning Blog

NOVEMBER 25, 2024

You can try out the models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. Both models support a context window of 32,000 tokens, which is roughly 50 pages of text.

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AWS Machine Learning Blog

FEBRUARY 12, 2024

Sharing in-house resources with other internal teams, the Ranking team machine learning (ML) scientists often encountered long wait times to access resources for model training and experimentation – challenging their ability to rapidly experiment and innovate. If it shows online improvement, it can be deployed to all the users.

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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. In addition to several exciting announcements during keynotes, most of the sessions in our track will feature generative AI in one form or another, so we can truly call our track “Generative AI and ML.”

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Dataconomy

APRIL 4, 2025

Understanding prompt engineering The process of prompt engineering involves several steps aimed at developing prompts that elicit the best possible outputs from AI systems. This includes an understanding of user interaction, which enhances overall experience by generating customized content, such as essays and blog posts.

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Data Science Dojo

JUNE 16, 2023

OpenAI is a research company that specializes in artificial intelligence (AI) and machine learning (ML) technologies. OpenAI offers a range of AI and ML tools that can be integrated into mobile app development, making it easier for developers to create intelligent and responsive apps. How OpenAI works in mobile app development?

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Data Science Dojo

APRIL 16, 2024

In this blog, we will explore the top 10 AI jobs and careers that are also the highest-paying opportunities for individuals in 2024. Machine learning (ML) engineer Potential pay range – US$82,000 to 160,000/yr Machine learning engineers are the bridge between data science and engineering.

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AWS Machine Learning Blog

JANUARY 22, 2025

Converting free text to a structured query of event and time filters is a complex natural language processing (NLP) task that can be accomplished using FMs. Daniel Pienica is a Data Scientist at Cato Networks with a strong passion for large language models (LLMs) and machine learning (ML).

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AWS Machine Learning Blog

FEBRUARY 6, 2025

His career has focused on natural language processing, and he has experience applying machine learning solutions to various domains, from healthcare to social media. Ornela specializes in natural language processing, predictive analytics, and MLOps, and holds a Masters of Science in Statistics.

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AWS Machine Learning Blog

NOVEMBER 29, 2024

22.03% The consistent improvements across different tasks highlight the robustness and effectiveness of Prompt Optimization in enhancing prompt performance for various natural language processing (NLP) tasks. Chris Pecora is a Generative AI Data Scientist at Amazon Web Services.

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Towards AI

FEBRUARY 20, 2024

Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction Everyone is using mobile or web applications which are based on one or other machine learning algorithms. Machine learning(ML) is evolving at a very fast pace. Machine learning(ML) is evolving at a very fast pace.

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AWS Machine Learning Blog

FEBRUARY 12, 2025

This blog post is co-written with Moran beladev, Manos Stergiadis, and Ilya Gusev from Booking.com. Large language models (LLMs) have revolutionized the field of natural language processing with their ability to understand and generate humanlike text.

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Data Science Dojo

JANUARY 20, 2023

These tutorials include topics like R & Python programming , data mining , and Azure ML (Machine Learning). Our in-person bootcamp cuts through the fluff so that you’re applying concepts and techniques back at work in only five days, rather than weeks, without sacrificing any limbs.

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AWS Machine Learning Blog

APRIL 4, 2025

They use real-time data and machine learning (ML) to offer customized loans that fuel sustainable growth and solve the challenges of accessing capital. To achieve this, Lumi developed a classification model based on BERT (Bidirectional Encoder Representations from Transformers) , a state-of-the-art natural language processing (NLP) technique.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). For many ML use cases, raw data like log files, sensor readings, or transaction records need to be transformed into meaningful features that are optimized for model training. SageMaker Studio set up.

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AWS Machine Learning Blog

JANUARY 30, 2025

His career has focused on natural language processing, and he has experience applying machine learning solutions to various domains, from healthcare to social media. Ornela specializes in natural language processing, predictive analytics, and MLOps, and holds a Masters of Science in Statistics.

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AWS Machine Learning Blog

JUNE 9, 2023

ONNX provides tools for optimizing and quantizing models to reduce the memory and compute needed to run machine learning (ML) models. One of the biggest benefits of ONNX is that it provides a standardized format for representing and exchanging ML models between different frameworks and tools.

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AWS Machine Learning Blog

MARCH 11, 2025

Solution overview You can use DeepSeeks distilled models within the AWS managed machine learning (ML) infrastructure. Conclusion Deploying DeepSeek models on SageMaker AI provides a robust solution for organizations seeking to use state-of-the-art language models in their applications. You can connect with Prasanna on LinkedIn.

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AWS Machine Learning Blog

JANUARY 29, 2025

Raj specializes in Machine Learning with applications in Generative AI, Natural Language Processing, Intelligent Document Processing, and MLOps. With a strong background in AI/ML, Ishan specializes in building Generative AI solutions that drive business value.

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AWS Machine Learning Blog

DECEMBER 23, 2024

By combining Lettrias expertise in natural language processing (NLP) and graph technology with the scalable and managed AWS infrastructure, you can develop RAG solutions that deliver more accurate and reliable results. Lettria provides an accessible way to integrate GraphRAG into your applications.

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AWS Machine Learning Blog

MAY 31, 2023

PyTorch is a machine learning (ML) framework based on the Torch library, used for applications such as computer vision and natural language processing. This provides a major flexibility advantage over the majority of ML frameworks, which require neural networks to be defined as static objects before runtime.

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Data Science Dojo

JUNE 11, 2024

These include image recognition, natural language processing, autonomous vehicles, financial services, healthcare, recommender systems, gaming and entertainment, and speech recognition. In this blog, we will discuss the 14 major types of neural networks that are put to practical use across industries.

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AWS Machine Learning Blog

SEPTEMBER 23, 2024

Machine learning (ML) projects are inherently complex, involving multiple intricate steps—from data collection and preprocessing to model building, deployment, and maintenance. You can use this natural language assistant from your SageMaker Studio notebook to get personalized assistance using natural language.

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Data Science Dojo

MAY 10, 2024

Hence, acting as a translator it converts human language into a machine-readable form. Their impact on ML tasks has made them a cornerstone of AI advancements. These embeddings when particularly used for natural language processing (NLP) tasks are also referred to as LLM embeddings.

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AWS Machine Learning Blog

JUNE 23, 2023

For data scientists, moving machine learning (ML) models from proof of concept to production often presents a significant challenge. It can be cumbersome to manage the process, but with the right tool, you can significantly reduce the required effort. FastAPI is a modern, high-performance web framework for building APIs with Python.

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AWS Machine Learning Blog

NOVEMBER 27, 2023

Amazon Elastic Compute Cloud (Amazon EC2) accelerated computing portfolio offers the broadest choice of accelerators to power your artificial intelligence (AI), machine learning (ML), graphics, and high performance computing (HPC) workloads.

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AWS Machine Learning Blog

DECEMBER 23, 2024

Neel Kapadia is a Senior Software Engineer at AWS where he works on designing and building scalable AI/ML services using Large Language Models and Natural Language Processing. In his spare time, he can be found playing sports, snowboarding, or hiking in the mountains.

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AWS Machine Learning Blog

DECEMBER 5, 2024

Previously, you had a choice between human-based model evaluation and automatic evaluation with exact string matching and other traditional natural language processing (NLP) metrics. To learn more about model and RAG evaluation capabilities, see News blog.

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Data Science Dojo

JANUARY 13, 2023

In this blog, we will share the list of leading data science conferences across the world to be held in 2023. The summit focuses on showcasing the opportunities of advancing methods in AI and machine learning (ML) and their impact across healthcare and medicine. Top data science conferences 2023 in different regions of the world 1.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

jpg", "prompt": "Which part of Virginia is this letter sent from", "completion": "Richmond"} SageMaker JumpStart SageMaker JumpStart is a powerful feature within the SageMaker machine learning (ML) environment that provides ML practitioners a comprehensive hub of publicly available and proprietary foundation models (FMs).

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Data Science Dojo

JULY 17, 2023

It is used for machine learning, natural language processing, and computer vision tasks. Wrapping up In this blog post, we have reviewed the top 6 AI tools for data analysis. TensorFlow First on the AI tool list, we have TensorFlow which is an open-source software library for numerical computation using data flow graphs.

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AWS Machine Learning Blog

JANUARY 31, 2024

Embeddings play a key role in natural language processing (NLP) and machine learning (ML). Text embedding refers to the process of transforming text into numerical representations that reside in a high-dimensional vector space. Nitin Eusebius is a Sr. In her free time, she likes to go for long runs along the beach.

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Google Research AI blog

APRIL 19, 2023

This transformative potential requires us to be responsible not only in how we advance our technology, but also in how we envision which technologies to build, and how we assess the social impact AI and ML-enabled technologies have on the world. Below, we share examples of our approach to Responsible AI and where we are headed in 2023.

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AWS Machine Learning Blog

MARCH 21, 2025

JupyterLab applications flexible and extensive interface can be used to configure and arrange machine learning (ML) workflows. We use JupyterLab to run the code for processing formulae and charts. Generate metadata Using natural language processing, you can generate metadata for the paper to aid in searchability.

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Flipboard

JANUARY 14, 2025

Moreover, interest in small language models (SLMs) that enable resource-constrained devices to perform complex functionssuch as natural language processing and predictive automationis growing.

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