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.

Generative AI 106

Generative AI Machine Learning AI AI 106

AWS Machine Learning Blog

MARCH 21, 2025

Research papers and engineering documents often contain a wealth of information in the form of mathematical formulas, charts, and graphs. Navigating these unstructured documents to find relevant information can be a tedious and time-consuming task, especially when dealing with large volumes of data. samples/2003.10304/page_0.png'

Metadata 110

Metadata Convolutional Neural Networks Generative AI Data Scientist 110

Unite.AI

APRIL 26, 2024

Self-Attention: The Key to Transformer's Success At the heart of the transformer lies the self-attention mechanism, a powerful technique that allows the model to weigh and aggregate information from different positions in the input sequence.

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Large Language Models Prompt Engineer Prompt Engineering Neural Network 277

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. Provide a score from 0 to 100 for this dimension.

Prompt Engineer 83

Prompt Engineer Prompt Engineering Generative AI Software Development 83

AWS Machine Learning Blog

MARCH 25, 2025

There are two metrics used to evaluate retrieval: Context relevance Evaluates whether the retrieved information directly addresses the querys intent. It requires ground truth texts for comparison to assess recall and completeness of retrieved information. It focuses on precision of the retrieval system.

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Prompt Engineer Prompt Engineering Metadata Responsible AI 84

ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. As LLMs become integral to AI applications, ethical considerations take center stage.

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Prompt Engineer Prompt Engineering Large Language Models Responsible AI 52

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.

LLM 104

LLM Generative AI Machine Learning Prompt Engineer 104

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 Engineer Prompt Engineering Data Science LLM 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.

Prompt Engineering 136

Prompt Engineering Prompt Engineer Generative AI LLM 136

AWS Machine Learning Blog

JANUARY 28, 2025

Regular interval evaluation also allows organizations to stay informed about the latest advancements, making informed decisions about upgrading or switching models. By investing in robust evaluation practices, companies can maximize the benefits of LLMs while maintaining responsible AI implementation and minimizing potential drawbacks.

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LLM Large Language Models ML Algorithm 95

Unite.AI

SEPTEMBER 7, 2023

By developing prompts that exploit the model's biases or limitations, attackers can coax the AI into generating inaccurate content that aligns with their agenda. Solution Establishing predefined guidelines for prompt usage and refining prompt engineering techniques can help curtail this LLM vulnerability.

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LLM Large Language Models Prompt Engineer Prompt Engineering 173

AWS Machine Learning Blog

FEBRUARY 12, 2025

You can use advanced parsing options supported by Amazon Bedrock Knowledge Bases for parsing non-textual information from documents using FMs. Some documents benefit from semantic chunking by preserving the contextual relationship in the chunks, helping make sure that the related information stays together in logical chunks.

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Auto-classification Metadata Generative AI Machine Learning 81

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.

Generative AI 89

Generative AI Responsible AI Automation LLM 89

Marktechpost

MAY 30, 2024

It includes labs on feature engineering with BigQuery ML, Keras, and TensorFlow. Inspect Rich Documents with Gemini Multimodality and Multimodal RAG This course covers using multimodal prompts to extract information from text and visual data and generate video descriptions with Gemini.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 130

Towards AI

JULY 27, 2024

While ChatGPT struggles to process and keep track of information in long conversations, Claude’s context window is huge (spanning up to 150 pages), which helps users to do more coherent and consistent conversations, especially when it comes to long documents. Claude Family Claude AI comes in a family of 3 generative AI models.

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ChatGPT Prompt Engineering Prompt Engineer Explainability 119

AWS Machine Learning Blog

MARCH 6, 2025

Context recall Ensures that the context contains all relevant information needed to answer the question. Higher scores mean the answer is complete and relevant, while lower scores indicate missing or redundant information. For more information, see Overview of access management: Permissions and policies.

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LLM Generative AI ML Prompt Engineer 102

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 70

IBM Journey to AI blog

MARCH 4, 2024

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? If so, where will it run? Which approach requires on-premises GPUs?

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AI AI Artificial Intelligence Artificial Intelligence 300

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 Engineering Prompt Engineer Categorization 119

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 125

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. There are four steps to deploy the solution.

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Data Ingestion DevOps Prompt Engineer Prompt Engineering 128

AWS Machine Learning Blog

DECEMBER 11, 2024

As a division of EBSCO Information Services, EBSCOlearning is committed to enhancing professional development and educational skills. In this post, we illustrate how EBSCOlearning partnered with AWS Generative AI Innovation Center (GenAIIC) to use the power of generative AI in revolutionizing their learning assessment process.

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Generative AI Large Language Models AI AI 78

Flipboard

NOVEMBER 27, 2024

It provides a broad set of capabilities needed to build generative AI applications with security, privacy, and responsible AI. They enable rapid document classification and information extraction, which means easier application filing for the applicant and more efficient application reviewing for the immigration officer.

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LLM Data Extraction Explainability Prompt Engineer 65

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 63

AWS Machine Learning Blog

APRIL 22, 2024

Figure 1: Examples of generative AI for sustainability use cases across the value chain According to KPMG’s 2024 ESG Organization Survey , investment in ESG capabilities is another top priority for executives as organizations face increasing regulatory pressure to disclose information about ESG impacts, risks, and opportunities.

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ESG Generative AI AI AI 130

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.

Conversational AI 127

Conversational AI LLM AI AI 127

Marktechpost

APRIL 11, 2024

Through this beginner-level course, you’ll learn to construct a RAG application in JavaScript, enabling intelligent agents to discern and pull information from various data sources to respond to user queries effectively. 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

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.

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Metadata LLM Prompt Engineer Prompt Engineering 114

AWS Machine Learning Blog

OCTOBER 8, 2024

After the email validation, KYC information is gathered, such as first and last name. Then, the user is prompted for an identity document, which is uploaded to Amazon S3. Prompt design for agent orchestration Now, let’s take a look at how we give our digital assistant, Penny, the capability to handle onboarding for financial services.

Automation 106

Automation Prompt Engineer Prompt Engineering Machine Learning 106

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. Enter the Region and Model information. Choose Connect to Amazon Bedrock.

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Generative AI LLM Large Language Models AI 114

AWS Machine Learning Blog

JULY 31, 2024

As generative artificial intelligence (AI) applications become more prevalent, maintaining responsible AI principles becomes essential. You can configure guardrails in multiple ways , including to deny topics, filter harmful content, remove sensitive information, and detect contextual grounding.

LLM 119

LLM Generative AI Prompt Engineer Prompt Engineering 119

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.

Chatbots 121

Chatbots Automation Machine Learning DevOps 121

AWS Machine Learning Blog

AUGUST 21, 2024

Customer reviews can reveal customer experiences with a product and serve as an invaluable source of information to the product teams. We provide a list of reviews as context and create a prompt to generate an output with a concise summary, overall sentiment, confidence score of the sentiment, and action items from the input reviews.

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Generative AI Prompt Engineer Prompt Engineering Automation 122

AWS Machine Learning Blog

NOVEMBER 19, 2024

Fourth, we’ll address responsible AI, so you can build generative AI applications with responsible and transparent practices. Fifth, we’ll showcase various generative AI use cases across industries. In this session, learn best practices for effectively adopting generative AI in your organization.

ML 88

ML Generative AI AI AI 88

AWS Machine Learning Blog

MAY 21, 2024

The media organization delivers useful, relevant, and accessible information to an audience that consists primarily of young and active urban readers. million 25–49-year-olds choose 20 Minutes to stay informed. This blog post outlines various use cases where we’re using generative AI to address digital publishing challenges.

Generative AI 126

Generative AI Prompt Engineer Prompt Engineering Automation 126

AWS Machine Learning Blog

JUNE 20, 2024

Another challenge is the need for an effective mechanism to handle cases where no useful information can be retrieved for a given input. Given these challenges faced by RAG systems, monitoring and evaluating generative artificial intelligence (AI) applications powered by RAG is essential.

Auto-classification 128

Auto-classification LLM Prompt Engineer Prompt Engineering 128

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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Data Scientist Responsible AI AI AI 98