AWS Machine Learning Blog

NOVEMBER 14, 2024

It enables you to privately customize the FM of your choice with your data using techniques such as fine-tuning, prompt engineering, and retrieval augmented generation (RAG) and build agents that run tasks using your enterprise systems and data sources while adhering to security and privacy requirements.

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LLM Generative AI Prompt Engineer Prompt Engineering 110

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. It includes learning about recommendation lists and parameters.

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Artificial Intelligence Artificial Intelligence Machine Learning Prompt Engineer 122

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. Responsible AI Implementing responsible AI practices is crucial for maintaining ethical and safe deployment of RAG systems.

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Auto-classification Metadata Generative AI Machine Learning 94

Marktechpost

MAY 30, 2024

This article lists the top AI courses by Google that provide comprehensive training on various AI and machine learning technologies, equipping learners with the skills needed to excel in the rapidly evolving field of AI. Participants learn how to improve model accuracy and write scalable, specialized ML models.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 130

AWS Machine Learning Blog

JANUARY 28, 2025

By investing in robust evaluation practices, companies can maximize the benefits of LLMs while maintaining responsible AI implementation and minimizing potential drawbacks. To support robust generative AI application development, its essential to keep track of models, prompt templates, and datasets used throughout the process.

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LLM Large Language Models ML Algorithm 112

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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Prompt Engineering Prompt Engineer LLM Data Science 52

AWS Machine Learning Blog

JANUARY 4, 2024

Specifically, we discuss the following: Why do we need Text2SQL Key components for Text to SQL Prompt engineering considerations for natural language or Text to SQL Optimizations and best practices Architecture patterns Why do we need Text2SQL? Effective prompt engineering is key to developing natural language to SQL systems.

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Prompt Engineering Prompt Engineer Generative AI LLM 139

ODSC - Open Data Science

FEBRUARY 16, 2024

Recently, we posted an in-depth article about the skills needed to get a job in prompt engineering. Now, what do prompt engineering job descriptions actually want you to do? Here are some common prompt engineering use cases that employers are looking for.

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Prompt Engineering Prompt Engineer Large Language Models Chatbots 52

AWS Machine Learning Blog

DECEMBER 11, 2024

The challenge: Scaling quality assessments EBSCOlearnings learning pathscomprising videos, book summaries, and articlesform the backbone of a multitude of educational and professional development programs. His expertise is in generative AI, large language models (LLM), multi-agent techniques, and multimodal learning.

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Generative AI Large Language Models AI AI 92

ODSC - Open Data Science

MARCH 10, 2025

Over the past decade, data science has undergone a remarkable evolution, driven by rapid advancements in machine learning, artificial intelligence, and big data technologies. Simultaneously, concerns around ethical AI , bias , and fairness led to more conversations on Responsible AI.

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Data Science Neural Network Convolutional Neural Networks Large Language Models 52

AWS Machine Learning Blog

MARCH 14, 2025

This post focuses on RAG evaluation with Amazon Bedrock Knowledge Bases, provides a guide to set up the feature, discusses nuances to consider as you evaluate your prompts and responses, and finally discusses best practices. Based in the San Francisco Bay Area, he enjoys playing tennis and gardening in his free time.

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Generative AI Responsible AI Automation LLM 70

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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Generative AI Prompt Engineering Prompt Engineer LLM 135

AWS Machine Learning Blog

NOVEMBER 29, 2023

Since launching in June 2023, the AWS Generative AI Innovation Center team of strategists, data scientists, machine learning (ML) engineers, and solutions architects have worked with hundreds of customers worldwide, and helped them ideate, prioritize, and build bespoke solutions that harness the power of generative AI.

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Generative AI Prompt Engineering Prompt Engineer Machine Learning 115

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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Automation Prompt Engineer Prompt Engineering Categorization 125

AWS Machine Learning Blog

MARCH 4, 2024

Alida’s customers receive tens of thousands of engaged responses for a single survey, therefore the Alida team opted to leverage machine learning (ML) to serve their customers at scale. The engineering team experienced the immediate ease of getting started with Amazon Bedrock.

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NLP Prompt Engineer Prompt Engineering LLM 135

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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Prompt Engineer Prompt Engineering LLM Data Scientist 52

AWS Machine Learning Blog

MAY 1, 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 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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Chatbots Automation Machine Learning DevOps 129

Marktechpost

JULY 9, 2024

By demystifying AI, businesses can create a common knowledge framework that empowers every team member to contribute to AI initiatives effectively. Microsoft emphasizes the importance of responsible AI in this foundational stage, ensuring that the AI systems developed are ethical, inclusive, reliable, and secure.

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Responsible AI Prompt Engineer Prompt Engineering AI 107

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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LLM Generative AI AI AI 74

ODSC - Open Data Science

NOVEMBER 30, 2023

Feature Store Architecture, the Year of Large Language Models, and the Top Virtual ODSC West 2023 Sessions to Watch Feature Store Architecture and How to Build One Learn about the Feature Store Architecture and dive deep into advanced concepts and best practices for building a feature store.

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Large Language Models Prompt Engineer Prompt Engineering Machine Learning 98

Towards AI

JULY 27, 2024

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. This generative AI model is trained on a carefully curated dataset thus it minimizes biases and factual errors to a large extent.

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ChatGPT Prompt Engineer Prompt Engineering Explainability 119

ODSC - Open Data Science

AUGUST 11, 2023

Full-Stack Machine Learning for Data Scientists Hugo Bowne-Anderson, PhD | Head of Data Science Evangelism and Marketing | Outerbounds This workshop will introduce you to the current landscape of production-grade tools, techniques, and workflows for the life cycle of machine learning models.

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Data Science Data Scientist Machine Learning Prompt Engineer 98

Towards AI

JANUARY 6, 2025

You may get hands-on experience in Generative AI, automation strategies, digital transformation, prompt engineering, etc. AI engineering professional certificate by IBM AI engineering professional certificate from IBM targets fundamentals of machine learning, deep learning, programming, computer vision, NLP, etc.

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Artificial Intelligence Artificial Intelligence Computer Vision Deep Learning 105

AWS Machine Learning Blog

JULY 29, 2024

In Part 3 , we demonstrate how business analysts and citizen data scientists can create machine learning (ML) models, without code, in Amazon SageMaker Canvas and deploy trained models for integration with Salesforce Einstein Studio to create powerful business applications.

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Generative AI LLM Large Language Models AI 122

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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Generative AI Prompt Engineer Prompt Engineering AI 136

The MLOps Blog

JUNE 27, 2023

How to evaluate MLOps tools and platforms Like every software solution, evaluating MLOps (Machine Learning Operations) tools and platforms can be a complex task as it requires consideration of varying factors. Pay-as-you-go pricing makes it easy to scale when needed.

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Machine Learning Metadata Data Scientist Data Quality 134

Unite.AI

FEBRUARY 21, 2025

How Reinforcement Learning Enhances Reasoning in LLMs How Reinforcement Learning Works in LLMs Reinforcement Learning is a machine learning paradigm in which an agent (in this case, an LLM) interacts with an environment (for instance, a complex problem) to maximize a cumulative reward.

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Large Language Models LLM Natural Language Processing NLP 154

AWS Machine Learning Blog

MAY 21, 2024

As 20 Minutes’s technology team, we’re responsible for developing and operating the organization’s web and mobile offerings and driving innovative technology initiatives. This blog post outlines various use cases where we’re using generative AI to address digital publishing challenges.

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Generative AI Prompt Engineer Prompt Engineering Automation 138

Marktechpost

APRIL 11, 2024

Additionally, the course covers how to share and run AI applications easily using Gradio and Hugging Face Spaces, making it ideal for those new to the AI field. Prompt Engineering with Llama 2 Discover the art of prompt engineering with Meta’s Llama 2 models.

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Artificial Intelligence Artificial Intelligence LLM Python 111

AWS Machine Learning Blog

MARCH 27, 2024

That’s why it’s good practice to check if you actually need to fine-tune your model for your use case or if prompt engineering is sufficient. With some prompt engineering, we can provide more details to get closer to the look of our favorite pets.

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Prompt Engineer Prompt Engineering Data Scientist Machine Learning 120

AWS Machine Learning Blog

MARCH 6, 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 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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LLM Generative AI ML Prompt Engineer 79

AWS Machine Learning Blog

APRIL 22, 2024

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. This balance must account for the assessment of risk in terms of several factors such as quality, disclosures, or reporting.

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ESG Generative AI AI AI 138

AWS Machine Learning Blog

AUGUST 8, 2024

As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads. Data is the foundational layer for all generative AI and ML applications. Create a simple web application using LangChain and Streamlit.

Metadata 126

Metadata LLM Prompt Engineer Prompt Engineering 126

Towards AI

OCTOBER 19, 2024

Researchers are exploring new methods like attention visualisation and prompt engineering to shed light on these complex systems. As AI continues to advance, finding ways to make it more transparent and explainable remains a key priority. For more articles on AI in business, feel free to explore my Medium profile.

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Explainability Explainable AI Natural Language Processing Prompt Engineer 105

AWS Machine Learning Blog

JULY 11, 2024

Agents for Amazon Bedrock automates the prompt engineering and orchestration of user-requested tasks. After being configured, an agent builds the prompt and augments it with your company-specific information to provide responses back to the user in natural language.

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Data Ingestion DevOps Prompt Engineer Prompt Engineering 138

AWS Machine Learning Blog

APRIL 24, 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 using 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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Conversational AI LLM AI AI 136

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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Generative AI Prompt Engineer Prompt Engineering AI 64