AWS Machine Learning Blog

JANUARY 30, 2025

By combining the advanced NLP capabilities of Amazon Bedrock with thoughtful prompt engineering, the team created a dynamic, data-driven, and equitable solution demonstrating the transformative potential of large language models (LLMs) in the social impact domain.

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AWS Machine Learning Blog

MARCH 20, 2025

The benefits of using Amazon Bedrock Data Automation Amazon Bedrock Data Automation provides a single, unified API that automates the processing of unstructured multi-modal content, minimizing the complexity of orchestrating multiple models, fine-tuning prompts, and stitching outputs together.

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AWS Machine Learning Blog

NOVEMBER 7, 2024

In this second part, we expand the solution and show to further accelerate innovation by centralizing common Generative AI components. We also dive deeper into access patterns, governance, responsible AI, observability, and common solution designs like Retrieval Augmented Generation. They’re illustrated in the following figure.

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Marktechpost

JUNE 19, 2024

The learning path comprises three courses: Generative AI, Large Language Models, and Responsible AI. Generative AI for Everyone This course provides a unique perspective on using generative AI. It aims to empower everyone to participate in an AI-powered future.

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Marktechpost

JUNE 8, 2024

Microsoft’s AI courses offer comprehensive coverage of AI and machine learning concepts for all skill levels, providing hands-on experience with tools like Azure Machine Learning and Dynamics 365 Commerce.

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ODSC - Open Data Science

JANUARY 29, 2024

The role of prompt engineer has attracted massive interest ever since Business Insider released an article last spring titled “ AI ‘Prompt Engineer Jobs: $375k Salary, No Tech Backgrund Required.” It turns out that the role of a Prompt Engineer is not simply typing questions into a prompt window.

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Marktechpost

MAY 30, 2024

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Its AI courses provide valuable knowledge and hands-on experience, helping learners build and optimize AI models, understand advanced AI concepts, and apply AI solutions to real-world problems.

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Towards AI

JULY 27, 2024

Claude AI and ChatGPT are both powerful and popular generative AI models revolutionizing various aspects of our lives. Dedicated to safety and security It is a well-known fact that Anthropic prioritizes responsible AI development the most, and it is clearly seen in Claude’s design.

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AWS Machine Learning Blog

MARCH 21, 2025

Amazon Bedrock is a fully managed service that provides a single API to access and use various high-performing foundation models (FMs) from leading AI companies. It offers a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI practices. samples/2003.10304/page_2.png"

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IBM Journey to AI blog

MARCH 4, 2024

Should you use a retrieval augmented generation (RAG) model by pairing your data with a public foundation model? Do you use gen AI out of the box? How can you master prompt engineering? When should you prompt-tune or fine-tune? Where do you harness gen AI vs. predictive AI vs. AI orchestration?

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IBM Journey to AI blog

JULY 23, 2024

collection of multilingual large language models (LLMs). comprises both pretrained and instruction-tuned text in/text out open source generative AI models in sizes of 8B, 70B and—for the first time—405B parameters. today, with the 8B and 70B models soon to follow. The instruction-tuned Llama 3.1-405B,

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AWS Machine Learning Blog

MARCH 14, 2025

Both features rely on the same LLM-as-a-judge technology under the hood, with slight differences depending on if a model or a RAG application built with Amazon Bedrock Knowledge Bases is being evaluated.

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AWS Machine Learning Blog

DECEMBER 11, 2024

EBSCOlearning experts and GenAIIC scientists worked together to develop a sophisticated prompt engineering approach using Anthropics Claude 3.5 Sonnet model in Amazon Bedrock. This rating is later used for revising the questions. This process presented several significant challenges.

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ODSC - Open Data Science

SEPTEMBER 28, 2023

5 Must-Have Skills to Get Into Prompt Engineering From having a profound understanding of AI models to creative problem-solving, here are 5 must-have skills for any aspiring prompt engineer. The Implications of Scaling Airflow Wondering why you’re spending days just deploying code and ML models?

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AWS Machine Learning Blog

MAY 13, 2024

Amazon Bedrock also comes with a broad set of capabilities required to build generative AI applications with security, privacy, and responsible AI. You can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with.

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How to Learn Machine Learning

APRIL 17, 2025

From advanced generative AI to responsible AI governance, the landscape is evolving rapidly, demanding a fresh perspective on skills, tools, and applications. Trend Insight: Enterprises will increasingly develop fine-tuned generative models trained on proprietary datasets, giving rise to industry-specific content generation.

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AWS Machine Learning Blog

JANUARY 28, 2025

To effectively optimize AI applications for responsiveness, we need to understand the key metrics that define latency and how they impact user experience. These metrics differ between streaming and nonstreaming modes and understanding them is crucial for building responsive AI applications.

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AWS Machine Learning Blog

JUNE 25, 2024

With Amazon Bedrock, developers can experiment, evaluate, and deploy generative AI applications without worrying about infrastructure management. Its enterprise-grade security, privacy controls, and responsible AI features enable secure and trustworthy generative AI innovation at scale.

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AWS Machine Learning Blog

APRIL 22, 2024

Set the right data foundations As a CEO aiming to use generative AI to achieve sustainability goals, remember that data is your differentiator. Figure 5 offers an overview on generative AI modalities and optimization strategies, including prompt engineering , Retrieval Augmented Generation , and fine-tuning or continued pre-training.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

Discover how the fully managed infrastructure of SageMaker enables high-performance, low cost ML throughout the ML lifecycle, from building and training to deploying and managing models at scale. Fourth, we’ll address responsible AI, so you can build generative AI applications with responsible and transparent practices.

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AWS Machine Learning Blog

JULY 29, 2024

In this post, we show how native integrations between Salesforce and Amazon Web Services (AWS) enable you to Bring Your Own Large Language Models (BYO LLMs) from your AWS account to power generative artificial intelligence (AI) applications in Salesforce. To learn more and start building, refer to the following resources.

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ODSC - Open Data Science

JUNE 27, 2023

Who Are AI Builders, AI Users, and Other Key Players? AI Builders AI builders are the data scientists, data engineers, and developers who design AI models. The goals and priorities of responsible AI builders are to design trustworthy, explainable, and human-centered AI.

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AWS Machine Learning Blog

FEBRUARY 1, 2024

Make sure to validate prompt input data and prompt input size for allocated character limits that are defined by your model. If you’re performing prompt engineering, you should persist your prompts to a reliable data store.

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Towards AI

OCTOBER 19, 2024

Figure 3: A “beeswarm” plot from SHAP to examine the impact of different features on income from census data The Challenge of Modern AI Models While these XAI techniques work well for traditional ML models, modern AI systems like Large Language Models (LLMs) present new challenges.

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AWS Machine Learning Blog

SEPTEMBER 9, 2024

The AI Service Layer allows Domo to switch between different models provided by Amazon Bedrock for individual tasks and track their performance across key metrics like accuracy, latency, and cost. The request goes through guardrails, which are mechanisms and strategies to enforce the responsible, ethical, and safe use of the AI model.

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AWS Machine Learning Blog

MAY 21, 2024

This blog post outlines various use cases where we’re using generative AI to address digital publishing challenges. We dive into the technical aspects of our implementation and explain our decision to choose Amazon Bedrock as our foundation model provider. Why Amazon Bedrock?

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AWS Machine Learning Blog

FEBRUARY 25, 2025

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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AWS Machine Learning Blog

MAY 9, 2024

Governance Establish governance that enables the organization to scale value delivery from AI/ML initiatives while managing risk, compliance, and security. Additionally, pay special attention to the changing nature of the risk and cost that is associated with the development as well as the scaling of AI.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Third, a number of sessions will be of interest to ML practitioners who build, deploy, and operationalize both traditional and generative AI models. Then, as we started doing last re:Invent, we’ll be offering several sessions on how to build AI responsibly. This year, learn about LLMOps, not just MLOps!

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John Snow Labs

SEPTEMBER 26, 2024

Advanced prompt engineering to refine criteria for paper inclusion and exclusion. This session explores the extent to which systematic reviews can be semi-automated using cutting-edge, healthcare-specific Generative AI models, and discusses the implications for the future of evidence-based medicine.

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How to Learn Machine Learning

JULY 20, 2024

7 Generative AI trends to look out for in 2024 Open-Source AI models Open-source AI models refer to models whose source code is accessible to researchers, developers, and organizations. In 2024, there’s been a lot of interest in pre-trained open-source Generative AI models.

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Topbots

JULY 29, 2024

Prompt Tuning: An overview of prompt tuning and its significance in optimizing AI outputs. Google’s Gen AI Development Tools: Insight into the tools provided by Google for developing generative AI applications. Content: Introduction into LLMs: An overview of how large language models work.

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Towards AI

FEBRUARY 13, 2025

The entire fear of AI taking over comes from science fiction, not science. 📝 Lessons from Experience AI models dont wake up. I once developed an AI to predict trends from physicians notes. Key Takeaway: AI is only as fair as what it learns from. Responsible AI means watching out for these biases.

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AWS Machine Learning Blog

MARCH 15, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

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ODSC - Open Data Science

DECEMBER 1, 2023

Work with Generative Artificial Intelligence (AI) Models in Azure Machine Learning The purpose of this course is to give you hands-on practice with Generative AI models. You’ll explore the use of generative artificial intelligence (AI) models for natural language processing (NLP) in Azure Machine Learning.

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ODSC - Open Data Science

APRIL 21, 2023

Well, during the hackathon you’ll have access to cutting-edge tools and platforms, including Weaviate and OpenAI API & ChatGPT plugins, to work on projects such as generative search and prompt engineering. Present your innovative solution to both a live audience and a panel of judges.

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ODSC - Open Data Science

FEBRUARY 18, 2025

This is not science fiction, as these are the promises of PhD-level AI agentshighly autonomous systems capable of complex reasoning, problem-solving, and adaptive learning. Unlike traditional AI models, these agents go beyond pattern recognition to independently analyze, reason, and generate insights in specialized fields.

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