AWS Machine Learning Blog

MARCH 22, 2024

Using generative AI at scale can become expensive. Conclusion With the AI Content Generator powered by Amazon Bedrock, content teams can unlock powerful tools to save time, reduce feedback loops, and increase creativity. Matt Middleton is the Senior Product Partner Ecosystem Manager at Contentful.

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Towards AI

JANUARY 6, 2025

Professional Development Certificate in Applied AI by McGill UNIVERSITY The Professional Development Certificate in Applied AI from McGill is an appropriate advanced and practical program designed to equip professionals with actionable industry-relevant knowledge and skills required to be senior AI developers and the ranks.

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AWS Machine Learning Blog

FEBRUARY 28, 2024

Today, generative AI can enable people without SQL knowledge. This generative AI task is called text-to-SQL, which generates SQL queries from natural language processing (NLP) and converts text into semantically correct SQL. We use Anthropic Claude v2.1 on Amazon Bedrock as our LLM.

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AWS Machine Learning Blog

OCTOBER 23, 2023

Given this mission, Talent.com and AWS joined forces to create a job recommendation engine using state-of-the-art natural language processing (NLP) and deep learning model training techniques with Amazon SageMaker to provide an unrivaled experience for job seekers. The recommendation system has driven an 8.6%

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AWS Machine Learning Blog

MARCH 1, 2023

However, these obstacles can now be mitigated by utilizing advanced generative AI methods such as natural language-based image semantic segmentation and diffusion for virtual styling. This blog post details the implementation of generative AI-assisted fashion online styling using text prompts.

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Flipboard

JUNE 20, 2023

Machine learning (ML) engineers have traditionally focused on striking a balance between model training and deployment cost vs. performance. This is important because training ML models and then using the trained models to make predictions (inference) can be highly energy-intensive tasks.

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AWS Machine Learning Blog

FEBRUARY 12, 2025

About the authors Daniel Zagyva is a Senior ML Engineer at AWS Professional Services. His experience extends across different areas, including natural language processing, generative AI and machine learning operations. Moran is also a PhD candidate, researching applying NLP models on social graphs.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Likewise, to address the challenges of lack of human feedback data, we use LLMs to generate AI grades and feedback that scale up the dataset for reinforcement learning from AI feedback ( RLAIF ). In the next section, we discuss using a compound AI system to implement this framework to achieve high versatility and reusability.

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AWS Machine Learning Blog

JUNE 8, 2023

However, businesses can meet this challenge while providing personalized and efficient customer service with the advancements in generative artificial intelligence (generative AI) powered by large language models (LLMs). Generative AI chatbots have gained notoriety for their ability to imitate human intellect.

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AWS Machine Learning Blog

JULY 24, 2024

Large language models (LLMs) have achieved remarkable success in various natural language processing (NLP) tasks, but they may not always generalize well to specific domains or tasks. You can customize the model using prompt engineering, Retrieval Augmented Generation (RAG), or fine-tuning.

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AWS Machine Learning Blog

JUNE 13, 2023

This post is co-written with Jad Chamoun, Director of Engineering at Forethought Technologies, Inc. and Salina Wu, Senior ML Engineer at Forethought Technologies, Inc. Forethought is a leading generative AI suite for customer service. He focuses on Deep learning including NLP and Computer Vision domains.

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AWS Machine Learning Blog

APRIL 29, 2024

To build a production-grade AI system today (for example, to do multilingual sentiment analysis of customer support conversations), what are the primary technical challenges? Historically, natural language processing (NLP) would be a primary research and development expense.

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ODSC - Open Data Science

FEBRUARY 25, 2025

At ODSC East 2025 , were excited to present 12 curated tracks designed to equip data professionals, machine learning engineers, and AI practitioners with the tools they need to thrive in this dynamic landscape. Whats Next in AI TrackExplore the Cutting-Edge Stay ahead of the curve with insights into the future of AI.

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AWS Machine Learning Blog

FEBRUARY 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice.

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AWS Machine Learning Blog

MARCH 13, 2024

By orchestrating toxicity classification with large language models (LLMs) using generative AI, we offer a solution that balances simplicity, latency, cost, and flexibility to satisfy various requirements. Amazon Comprehend is a natural language processing (NLP) service that uses ML to uncover valuable insights and connections in text.

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AWS Machine Learning Blog

AUGUST 16, 2023

Thomson Reuters Labs, the company’s dedicated innovation team, has been integral to its pioneering work in AI and natural language processing (NLP). This technology was one of the first of its kind, using NLP for more efficient and natural legal research. A key milestone was the launch of Westlaw Is Natural (WIN) in 1992.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

This significantly reduces the time you spend setting up your environment and decreases the complexity of managing package dependencies in your ML project. Amazon CodeWhisperer integration – Code Editor also comes with generative AI capabilities powered by Amazon CodeWhisperer. You can find the sample code in this GitHub repo.

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AWS Machine Learning Blog

SEPTEMBER 23, 2024

Fortunately, generative AI-powered developer assistants like Amazon Q Developer have emerged to help data scientists streamline their workflows and fast-track ML projects, allowing them to save time and focus on strategic initiatives and innovation. helping customers design and build AI/ML solutions.

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AWS Machine Learning Blog

OCTOBER 19, 2023

Redaction of PII data is often a key first step to unlock the larger and richer data streams needed to use or fine-tune generative AI models , without worrying about whether their enterprise data (or that of their customers) will be compromised. The following diagram illustrates the SageMaker MLOps workflow.

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ODSC - Open Data Science

NOVEMBER 25, 2024

We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and of course, plenty related to large language models and generative AI. Top Sessions With sessions both online and in-person in South San Francisco, there was something for everyone at ODSC East.

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Snorkel AI

MAY 4, 2023

The free virtual conference is the largest annual gathering of the data-centric AI community. Enterprise use cases: predictive AI, generative AI, NLP, computer vision, conversational AI. AI development stack: AutoML, ML frameworks, no-code/low-code development.

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Snorkel AI

MAY 4, 2023

The free virtual conference is the largest annual gathering of the data-centric AI community. Enterprise use cases: predictive AI, generative AI, NLP, computer vision, conversational AI. AI development stack: AutoML, ML frameworks, no-code/low-code development.

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AWS Machine Learning Blog

NOVEMBER 21, 2023

He specializes in Search, Retrieval, Ranking and NLP related modeling problems. His team of scientists and ML engineers is responsible for providing contextually relevant and personalized search results to Amazon Music customers. Siddharth spent early part of his career working with bay area ad-tech startups.

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Snorkel AI

OCTOBER 12, 2023

The center aimed to address recurring bottlenecks in their ML projects and improve collaborative workflows between data scientists and subject-matter experts. In this presentation, center NLP Engineer James Dunham shares takeaways from the half-dozen project teams who used Snorkel in the past year.

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AWS Machine Learning Blog

AUGUST 1, 2023

By fine-tuning the model with your domain-specific data, you can optimize its performance for your particular use case, such as text summarization or any other NLP task. Hugging Face provides a wide range of pre-trained transformer models specifically designed for various natural language processing (NLP) tasks, including text summarization.

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ML Large Language Models NLP Machine Learning 87

Snorkel AI

OCTOBER 12, 2023

The center aimed to address recurring bottlenecks in their ML projects and improve collaborative workflows between data scientists and subject-matter experts. In this presentation, center NLP Engineer James Dunham shares takeaways from the half-dozen project teams who used Snorkel in the past year.

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Data Scientist ML Computer Vision AI 59

Snorkel AI

OCTOBER 12, 2023

The center aimed to address recurring bottlenecks in their ML projects and improve collaborative workflows between data scientists and subject-matter experts. In this presentation, center NLP Engineer James Dunham shares takeaways from the half-dozen project teams who used Snorkel in the past year.

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Data Scientist NLP ML Computer Vision 52

Snorkel AI

OCTOBER 27, 2023

Accelerating production-ready GenAI Vincent Chen, director of product (technical) at Snorkel AI, and Joe Spisak, director of product management ( generative AI ) for Meta , discussed progress, challenges, and opportunities with AI and machine learning in the enterprise. See what Snorkel option is right for you.

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The MLOps Blog

OCTOBER 3, 2023

I see so many of these job seekers, especially on the MLOps side or the ML engineer side. ML platform at Mailchimp and generative AI use cases Aurimas: Before joining FeatureForm as the head of MLOps, you were a machine learning operations engineer at Mailchimp, and you were helping to build the ML platform there, right?

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AWS Machine Learning Blog

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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The MLOps Blog

AUGUST 11, 2023

At that point, the Data Scientists or ML Engineers become curious and start looking for such implementations. OpenAI, on the other hand, has been at the forefront of advancements in generative AI models, such as GPT-3, which heavily rely on embeddings.

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Unite.AI

DECEMBER 15, 2023

My role at Prolific is split between being an advisor regarding AI use cases and opportunities, and being a more hands-on ML Engineer. I started my career in Software Engineering and have gradually transitioned to Machine Learning. I’ve spent most of the last 5 years focused on NLP use cases and problems.

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AWS Machine Learning Blog

DECEMBER 4, 2024

Organizations of every size and across every industry are looking to use generative AI to fundamentally transform the business landscape with reimagined customer experiences, increased employee productivity, new levels of creativity, and optimized business processes.

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Mlearning.ai

MAY 3, 2023

The built APP provides an easy web interface to access the large language models with several built-in application utilities for direct use, significantly lowering the barrier for the practitioners to use the LLM’s Natural Language Processing (NLP) capabilities in an amateur way focusing on their specific use cases.

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AWS Machine Learning Blog

DECEMBER 4, 2024

When using generative AI, achieving high performance with low latency models that are cost-efficient is often a challenge, because these goals can clash with each other. With Amazon Bedrock Model Distillation, you can now customize models for your use case using synthetic data generated by highly capable models.

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AWS Machine Learning Blog

DECEMBER 17, 2024

This presents an opportunity to augment and automate the existing content creation process using generative AI. In this post, we discuss how we used Amazon SageMaker and Amazon Bedrock to build a content generator that rewrites marketing content following specific brand and style guidelines. Connect with Hin Yee on LinkedIn.

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AWS Machine Learning Blog

OCTOBER 17, 2024

Amazon SageMaker Studio is the latest web-based experience for running end-to-end machine learning (ML) workflows. The integration of Amazon EFS with SageMaker Studio provides a versatile platform for data science teams to thrive in the evolving landscape of ML and AI. In her free time, Irene enjoys traveling and hiking.

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