AWS Machine Learning Blog

FEBRUARY 21, 2025

Similar to how a customer service team maintains a bank of carefully crafted answers to frequently asked questions (FAQs), our solution first checks if a users question matches curated and verified responses before letting the LLM generate a new answer. No LLM invocation needed, response in less than 1 second.

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NVIDIA

DECEMBER 24, 2024

For many, tools like ChatGPT were their first introduction to AI. LLM-powered chatbots have transformed computing from basic, rule-based interactions to dynamic conversations. Introduced in March, ChatRTX is a demo app that lets users personalize a GPT LLM with their own content, such as documents, notes and images.

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Unite.AI

FEBRUARY 17, 2025

Today, she receives prioritized alerts with automated research and suggested content that can generate SARs in minutes. Gartner's 2024 Hype Cycle for Emerging Technologies highlighted autonomous AI as one of the year's top four emerging technology trendsand with good reason.

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Automation Responsible AI Generative AI AI Modeling 144

Unite.AI

MARCH 10, 2025

However, one thing is becoming increasingly clear: advanced models like DeepSeek are accelerating AI adoption across industries, unlocking previously unapproachable use cases by reducing cost barriers and improving Return on Investment (ROI). Even small businesses will be able to harness Gen AI to gain a competitive advantage.

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Unite.AI

FEBRUARY 7, 2024

This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses. MLOps are practices that automate and simplify ML workflows and deployments. MLOps make ML models faster, safer, and more reliable in production.

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Unite.AI

FEBRUARY 6, 2025

Outside our research, Pluralsight has seen similar trends in our public-facing educational materials with overwhelming interest in training materials on AI adoption. In contrast, similar resources on ethical and responsible AI go primarily untouched. The legal considerations of AI are a given.

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AWS Machine Learning Blog

MARCH 14, 2025

Although automated metrics are fast and cost-effective, they can only evaluate the correctness of an AI response, without capturing other evaluation dimensions or providing explanations of why an answer is problematic. Human evaluation, although thorough, is time-consuming and expensive at scale.

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AWS Machine Learning Blog

OCTOBER 16, 2024

This post shows how DPG Media introduced AI-powered processes using Amazon Bedrock and Amazon Transcribe into its video publication pipelines in just 4 weeks, as an evolution towards more automated annotation systems. Some local shows feature Flemish dialects, which can be difficult for some large language models (LLMs) to understand.

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Metadata Automation Generative AI AI 109

Flipboard

JANUARY 22, 2025

Amazon Bedrock Flows offers an intuitive visual builder and a set of APIs to seamlessly link foundation models (FMs), Amazon Bedrock features, and AWS services to build and automate user-defined generative AI workflows at scale. Amazon Bedrock Agents offers a fully managed solution for creating, deploying, and scaling AI agents on AWS.

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Unite.AI

DECEMBER 1, 2023

As we continue to integrate AI more deeply into various sectors, the ability to interpret and understand these models becomes not just a technical necessity but a fundamental requirement for ethical and responsible AI development. Impact of the LLM Black Box Problem 1.

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Marktechpost

JULY 2, 2024

The primary goal is to prevent LLMs from engaging in unsafe or inappropriate user requests. Current methodologies face challenges in comprehensively evaluating LLM safety, including aspects such as toxicity, harmfulness, trustworthiness, and refusal behaviors. Results showed that fine-tuned smaller-scale LLMs (e.g.,

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LLM Large Language Models Automation AI 111

Unite.AI

SEPTEMBER 18, 2024

Responsible Development: The company remains committed to advancing safety and neutrality in AI development. Claude 3 represents a significant advancement in LLM technology, offering improved performance across various tasks, enhanced multilingual capabilities, and sophisticated visual interpretation. Visit Claude 3 → 2.

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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. The Step Functions workflow starts.

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Marktechpost

JANUARY 16, 2024

Large Language Models (LLMs) signify a remarkable advance in natural language processing and artificial intelligence. These models, exemplified by their ability to understand and generate human language, have revolutionized numerous applications, from automated writing to translation.

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AWS Machine Learning Blog

OCTOBER 8, 2024

Sonnet on Amazon Bedrock, we build a digital assistant that automates document processing, identity verifications, and engages customers through conversational interactions. As a result, customers can be onboarded in a matter of minutes through secure, automated workflows. Using Anthropic’s Claude 3.5

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AWS Machine Learning Blog

MARCH 18, 2025

Sonnet on Amazon Bedrock as our LLM to generate SQL queries for user inputs. RAG works by using a retriever module to find relevant information from an external data store in response to a users prompt. This retrieved data is used as context, combined with the original prompt, to create an expanded prompt that is passed to the LLM.

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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. This logic sits in a hybrid search component.

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IBM Journey to AI blog

OCTOBER 16, 2023

It’s essential for an enterprise to work with responsible, transparent and explainable AI, which can be challenging to come by in these early days of the technology. Generative AI chatbots have been known to insult customers and make up facts. But how trustworthy is that training data?

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John Snow Labs

FEBRUARY 1, 2025

Agentic AI is transforming insurance claims processing, enabling automation, scalability, and cost efficiency. Byleveraging NVIDIA NIM services, we have significantly reduced training costs for our proprietary Insurance LLM and optimized inference costs in production, ensuring scalable, realtime deployment.

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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. And finally, get ready for the AWS DeepRacer League as it takes it final celebratory lap.

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AWS Machine Learning Blog

FEBRUARY 12, 2025

For a demonstration on how you can use a RAG evaluation framework in Amazon Bedrock to compute RAG quality metrics, refer to New RAG evaluation and LLM-as-a-judge capabilities in Amazon Bedrock. Responsible AI Implementing responsible AI practices is crucial for maintaining ethical and safe deployment of RAG systems.

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Unite.AI

OCTOBER 25, 2024

SLK's AI-powered platforms and accelerators are designed to automate and streamline processes, helping businesses reach the market more quickly. In mortgage requisition intake, AI optimizes efficiency by automating the analysis of requisition data, leading to faster processing times.

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AWS Machine Learning Blog

MARCH 13, 2025

They assist with operations such as QA reporting, coaching, workflow automations, and root cause analysis. An education company has been able to replace their manual survey scores with an automated customer sentiment score that increased their sample size from 15% to 100% of conversations. The best is yet to come.

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AWS Machine Learning Blog

MARCH 25, 2025

The Amazon Bedrock evaluation tool provides a comprehensive assessment framework with eight metrics that cover both response quality and responsible AI considerations. Establish a structured process for reviewing and integrating flagged responses, treating each piece of feedback as a potential refinement point for your dataset.

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AWS Machine Learning Blog

APRIL 4, 2025

Organizations deploying generative AI applications need robust ways to evaluate their performance and reliability. Additionally, the introduction of new citation metrics with our previously released quality and responsible AI metrics also provides deeper insights into how well RAG systems use their knowledge bases and source documents.

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Marktechpost

APRIL 11, 2024

These courses are crafted to provide learners with the right knowledge, tools, and techniques required to excel in AI. Here’s a look at the most relevant short courses available: Red Teaming LLM Applications This course offers an essential guide to enhancing the safety of LLM applications through red teaming.

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AWS Machine Learning Blog

MARCH 5, 2025

To scale ground truth generation and curation, you can apply a risk-based approach in conjunction with a prompt-based strategy using LLMs. Its important to note that LLM-generated ground truth isnt a substitute for use case SME involvement. To convert the source document excerpt into ground truth, we provide a base LLM prompt template.

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AWS Machine Learning Blog

DECEMBER 11, 2024

Enter AI: A promising solution Recognizing the potential of AI to address this challenge, EBSCOlearning partnered with the GenAIIC to develop an AI-powered question generation system. The evaluation process includes three phases: LLM-based guideline evaluation, rule-based checks, and a final evaluation.

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Unite.AI

JANUARY 1, 2024

Fast Business Procedures Over the next few years, Generative AI can cut SG&A (Selling, General, and Administrative) costs by 40%. Generative AI accelerates business process management by automating complex tasks, promoting innovation, and reducing manual workload. just a simple click away.

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John Snow Labs

OCTOBER 2, 2023

Moreover, LangTest extends its capabilities beyond just frameworks, offering compatibility with numerous LLM sources like OpenAI and AI21, enabling users to harness the power of diverse language models in their NLP pipelines.

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AWS Machine Learning Blog

JANUARY 31, 2025

This FM classifier powers the automation system that can save tens of thousands of hours of manual processing and redirect that time toward more complex tasks. The text from the email body and PDF attachment are combined into a single prompt for the large language model (LLM). Text from the email is parsed.

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Prompt Engineering Prompt Engineer Data Scientist Large Language Models 77

Unite.AI

AUGUST 14, 2024

Anand Kannappan is Co-Founder and CEO of Patronus AI , the industry-first automated AI evaluation and security platform to help enterprises catch LLM mistakes at scale. Our mission is to enhance enterprise confidence in generative AI. What initially attracted you to computer science?

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Unite.AI

JULY 12, 2024

To ensure effective implementation, companies must first assess their current AI capabilities and identify areas that could benefit from increased flexibility. For instance, building an LLM-agnostic infrastructure allows businesses to switch language models as newer, advanced versions become available.

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John Snow Labs

DECEMBER 2, 2024

Today, we are excited to announce that John Snow Labs’ Medical LLM – Small and Medical LLM – Medium large language models (LLMs) are now available on Amazon SageMaker Jumpstart. Medical LLM in SageMaker JumpStart is available in two sizes: Medical LLM – Small and Medical LLM – Medium.

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AWS Machine Learning Blog

SEPTEMBER 13, 2024

In industries like insurance, where unpredictable scenarios are the norm, traditional automation falls short, leading to inefficiencies and missed opportunities. This enables a quicker response and more accurate decision-making. Intricate workflows that require dynamic and complex API orchestration can often be complex to manage.

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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. At 20 Minutes, a key goal of our technology team is to develop new tools for our journalists that automate repetitive tasks, improve the quality of reporting, and allow us to reach a wider audience.

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AWS Machine Learning Blog

JULY 29, 2024

Requests and responses between Salesforce and Amazon Bedrock pass through the Einstein Trust Layer , which promotes responsible AI use across Salesforce. Solution overview With the Salesforce Einstein Model Builder BYO LLM feature, you can invoke Amazon Bedrock models in your AWS account.

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