AWS Machine Learning Blog

AUGUST 28, 2024

The RAG workflow enables you to use your document data stored in an Amazon Simple Storage Service (Amazon S3) bucket and integrate it with the powerful natural language processing (NLP) capabilities of foundation models (FMs) provided by Amazon Bedrock. He specializes in building AI/ML solutions using Amazon SageMaker.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

Advancements in AI and natural language processing (NLP) show promise to help lawyers with their work, but the legal industry also has valid questions around the accuracy and costs of these new techniques, as well as how customer data will be kept private and secure. These capabilities are built using the AWS Cloud.

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AWS Machine Learning Blog

APRIL 3, 2024

Amazon SageMaker Studio – It is an integrated development environment (IDE) for machine learning (ML). ML practitioners can perform all ML development steps—from preparing your data to building, training, and deploying ML models. Rupinder Grewal is a Senior AI/ML Specialist Solutions Architect with AWS.

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AWS Machine Learning Blog

JULY 1, 2024

She helps key customer accounts on their data, generative AI and AI/ML journeys. She is passionate about data-driven AI and the area of depth in ML and generative AI. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI.

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Data Science Dojo

APRIL 18, 2024

Emerging frameworks for large language model applications LLMs have revolutionized the world of natural language processing (NLP), empowering the ability of machines to understand and generate human-quality text. Hence, embeddings take on the role of a translator, making words comprehendible for ML models.

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AWS Machine Learning Blog

AUGUST 16, 2023

Thomson Reuters (TR), a global content and technology-driven company, has been using artificial intelligence (AI) and machine learning (ML) in its professional information products for decades. Thomson Reuters Labs, the company’s dedicated innovation team, has been integral to its pioneering work in AI and natural language processing (NLP).

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AWS Machine Learning Blog

APRIL 23, 2024

She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI. She speaks at internal and external conferences such AWS re:Invent, Women in Manufacturing West, YouTube webinars, and GHC 23. In her free time, she likes to go for long runs along the beach.

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AWS Machine Learning Blog

AUGUST 7, 2024

She is passionate about women in technology and is a core member of Women in AI/ML at Amazon. She speaks at internal and external conferences such as AWS re:Invent, AWS Summits, and webinars. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI.

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AWS Machine Learning Blog

FEBRUARY 12, 2025

Machine learning (ML) engineers must make trade-offs and prioritize the most important factors for their specific use case and business requirements. Enterprise Solutions Architect at AWS, experienced in Software Engineering, Enterprise Architecture, and AI/ML. Nitin Eusebius is a Sr.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

About the Authors Mark Roy is a Principal Machine Learning Architect for AWS, helping customers design and build AI/ML solutions. Mark’s work covers a wide range of ML use cases, with a primary interest in computer vision, deep learning, and scaling ML across the enterprise. Dr. Baichuan Sun , currently serving as a Sr.

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ODSC - Open Data Science

AUGUST 24, 2023

Accelerating Decisions with Third-Party Data in Financial Services On-Demand Webinar Your ability to make confident decisions based on relevant factors relies on accurate data filled with context. From natural language search to recommendation systems, Zain unveils the power of these vectors in enhancing search accuracy and efficiency.

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ODSC - Open Data Science

MAY 11, 2023

Origins of Generative AI and Natural Language Processing with ChatGPT Joining in on the fun of using generative AI, we used ChatGPT to help us explore some of the key innovations over the past 50 years of AI. But without a vector database, generative AI will not achieve the goal of truly human-like intelligence.

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AWS Machine Learning Blog

MARCH 1, 2024

She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI. She speaks at internal and external conferences such AWS re:Invent, Women in Manufacturing West, YouTube webinars, and GHC 23. In her free time, she likes to go for long runs along the beach.

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Pickl AI

JULY 10, 2024

Machine Learning (ML) is a subset of AI that involves using statistical techniques to enable machines to improve their performance on tasks through experience. On the other hand, ML focuses specifically on developing algorithms that allow machines to learn and make predictions or decisions based on data.

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Pickl AI

NOVEMBER 28, 2024

Introduction Machine Learning ( ML ) is revolutionising industries, from healthcare and finance to retail and manufacturing. As businesses increasingly rely on ML to gain insights and improve decision-making, the demand for skilled professionals surges. This growth signifies Python’s increasing role in ML and related fields.

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AWS Machine Learning Blog

FEBRUARY 19, 2024

She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI. She speaks at internal and external conferences such AWS re:Invent, Women in Manufacturing West, YouTube webinars, and GHC 23. In her free time, she likes to go for long runs along the beach.

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Snorkel AI

JUNE 23, 2023

Snorkel AI recently hosted a two-day conference where experts from Fortune 500 enterprises, AI providers, and ML researchers along with thousands of data scientists discussed challenges, opportunities, and solutions to adopt LLMs for enterprise use. Look at our events page to sign up for research webinars, product overviews, and case studies.

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Heartbeat

OCTOBER 5, 2023

Unsurprisingly, Machine Learning (ML) has seen remarkable progress, revolutionizing industries and how we interact with technology. The emergence of Large Language Models (LLMs) like OpenAI's GPT , Meta's Llama , and Google's BERT has ushered in a new era in this field. Their mission?

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AWS Machine Learning Blog

JULY 10, 2024

He is passionate about developing state-of-the-art AI/ML-powered solutions to solve complex business problems for diverse industries, optimizing efficiency and scalability. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI.

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Snorkel AI

OCTOBER 12, 2023

Discover the strategies used to drive data-driven decisions within the complex governmental landscape and gain valuable perspectives on the future of AI/ML, the ethical considerations in data science, and the transformative potential of leveraging data to better society. Current specialized ML libraries (e.g.,

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Flipboard

DECEMBER 6, 2023

He is a multi patent inventor with three granted patents and his experience spans multiple technology domains including telecom, networking, application integration, AI/ML, and cloud deployments. She leads machine learning (ML) projects in various domains such as computer vision, natural language processing and generative AI.

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IBM Journey to AI blog

AUGUST 3, 2023

Using techniques that include artificial intelligence (AI) , machine learning (ML) , natural language processing (NLP) and network analytics, it generates a master inventory of sensitive data down to the PII or data-element level.

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ODSC - Open Data Science

SEPTEMBER 19, 2024

Streamlining Government Regulatory Responses with Natural Language Processing, GenAI, and Text Analytics Through text analytics, linguistic rules are used to identify and refine how each unique statement aligns with a different aspect of the regulation. This presentation explores compelling differences in model performance (e.g

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Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029.

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Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029.

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phData

OCTOBER 21, 2024

What Are Large Language Models? Large Language Models are deep learning models that recognize, comprehend, and generate text, performing various other natural language processing (NLP) tasks. We then dive into the technical side of LLMs and finally present a practical, real-world example.

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