AWS Machine Learning Blog

NOVEMBER 19, 2024

This is where the concept of guardrails comes into play, providing a comprehensive framework for implementing governance and control measures with safeguards customized to your application requirements and responsible AI policies. This diagram presents the main workflow (Steps 1–4) and the optional automated workflow (Steps 5–7).

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AWS Machine Learning Blog

NOVEMBER 14, 2024

You can trigger the processing of these invoices using the AWS CLI or automate the process with an Amazon EventBridge rule or AWS Lambda trigger. By using large language models (LLMs), it extracts important details such as invoice numbers, dates, amounts, and vendor information without requiring custom scripts for each vendor format.

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Marktechpost

NOVEMBER 16, 2024

In recent years, generative AI has surged in popularity, transforming fields like text generation, image creation, and code development. Its ability to automate and enhance creative tasks makes it a valuable skill for professionals across industries.

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Unite.AI

DECEMBER 19, 2024

In fact, as many as 63% of global business leaders admit their investment in AI was down to FOMO (fear of missing out), according to a recent study. AI developers willlikely provideinterfaces that allow stakeholders to interpret and challenge AI decisions, especially in critical sectors like finance, insurance, healthcare, and law.

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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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AI News

FEBRUARY 20, 2024

The Wipro Enterprise AI-Ready Platform harnesses various components of the IBM watsonx suite, including watsonx.ai, watsonx.data, and watsonx.governance, alongside AI assistants. ” A key aspect of this collaboration is the establishment of the IBM TechHub@Wipro, a centralised tech hub aimed at supporting joint client pursuits.

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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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AssemblyAI

MAY 23, 2023

With these complex algorithms often labeled as "giant black boxes" in media, there's a growing need for accurate and easy-to-understand resources, especially for Product Managers wondering how to incorporate AI into their product roadmap. LLMs are transforming the AI commercial landscape at unprecedented speed.

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AI News

FEBRUARY 2, 2024

However, Baroness Stowell of the House of Lords has cautioned that the UK risks “missing out on the AI goldrush” if it does not act quickly. A report from the Lords’ Communications and Digital Committee honed in on large language models and tools like ChatGPT.

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Unite.AI

FEBRUARY 25, 2025

New AI tools and capabilities present an incredible opportunity for companies to go beyond structured data and tap into complex and unstructured datasets, unlocking even greater value for customers. For instance, large language models (LLMs) can analyze human interactions and extract crucial insights that enrich customer experience (CX).

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Unite.AI

DECEMBER 11, 2024

SnapLogic is an AI-powered integration platform that streamlines data and application workflows with no-code tools and over 1,000 pre-built connectors. It supports ETL/ELT, automation, API management, and secure deployments across cloud, on-premises, and hybrid environments.

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Unite.AI

OCTOBER 23, 2024

The rapid development of Large Language Models (LLMs) has brought about significant advancements in artificial intelligence (AI). From automating content creation to providing support in healthcare, law, and finance, LLMs are reshaping industries with their capacity to understand and generate human-like text.

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NVIDIA

DECEMBER 24, 2024

Editors note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for GeForce RTX PC and NVIDIA RTX workstation users. Example of a user invoking an AI agent in AnythingLLM to complete a web search query.

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John Snow Labs

SEPTEMBER 24, 2024

This talk covers recent regulation in this space, limitations that current Generative AI models have, and an automated testing framework that mitigates them. We describe the open-source LangTest library, which can automate the generation and execution of more than 100 types of Responsible AI tests.

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Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. What are Large Language Models and Why are They Important? Cohere provides a studio for automating LLM workflows with a GUI, REST API and Python SDK.

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Marktechpost

NOVEMBER 22, 2024

AgentOpsAi helps ensure the reliability and efficiency of AI agents, reducing downtime and improving overall performance. It’s a valuable tool for maintaining the health and performance of AI systems. It’s especially useful for improving the accuracy and coherence of language models.

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Unite.AI

JANUARY 28, 2025

Post-pandemic and with the launch of generative AI, the emphasis has expanded to delivering seamless, human-like customer experiences through automation. This evolution reflects a broader goal of empowering enterprises to enhance operational efficiency and customer engagement by integrating conversational AI into their ecosystems.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Reports holistically summarize each evaluation in a human-readable way, through natural-language explanations, visualizations, and examples, focusing annotators and data scientists on where to optimize their LLMs and help make informed decisions. What is FMEval? FMEval allows you to upload your own prompt datasets and algorithms.

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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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Flipboard

FEBRUARY 19, 2025

Additionally, we discuss some of the responsible AI framework that customers should consider adopting as trust and responsible AI implementation remain crucial for successful AI adoption. Amazon Bedrock hosts and manages the large language models (LLMs) , currently using Claude 3.5

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Unite.AI

JULY 26, 2024

As the adoption of artificial intelligence (AI) accelerates, large language models (LLMs) serve a significant need across different domains. The two latest examples are Open AI’s ChatGPT-4 and Meta’s latest Llama 3.

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Unite.AI

JANUARY 1, 2025

AI is expected to add between $200 and $340 billion in value for banks annually, primarily through enhanced productivity. 66% of banking and finance executives believe these potential productivity gains from AI and automation are so significant that they must accept the risks to stay competitive.

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AWS Machine Learning Blog

MARCH 14, 2025

Organizations building and deploying AI applications, particularly those using large language models (LLMs) with Retrieval Augmented Generation (RAG) systems, face a significant challenge: how to evaluate AI outputs effectively throughout the application lifecycle.

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AWS Machine Learning Blog

JULY 11, 2024

Large language models have become indispensable in generating intelligent and nuanced responses across a wide variety of business use cases. However, enterprises often have unique data and use cases that require customizing large language models beyond their out-of-the-box capabilities.

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Flipboard

DECEMBER 3, 2024

Now, Syngenta is advancing further by using large language models (LLMs) and Amazon Bedrock Agents to implement Cropwise AI on AWS, marking a new era in agricultural technology. In this post, we discuss Syngenta’s journey in developing Cropwise AI.

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AWS Machine Learning Blog

DECEMBER 16, 2024

Companies like Rocket Mortgage are building on an AI-driven platform powered by Amazon Bedrock to create AI agents and automate tasksworking to give their employees access to generative AI with no-code tools. Increasingly, I think generative AI inference is going to be a core building block for every application.

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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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Unite.AI

MAY 22, 2024

This feature has profound implications for applications such as assistive technologies for the visually impaired, as well as in fields like security, surveillance, and automation. The model can also seamlessly blend these modalities, creating truly immersive and engaging experiences.

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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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Unite.AI

AUGUST 8, 2024

Most organizations today want to utilize large language models (LLMs) and implement proof of concepts and artificial intelligence (AI) agents to optimize costs within their business processes and deliver new and creative user experiences. One noteworthy application of LLM-MA systems is call/service center automation.

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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. MaestroQA was able to use their existing authentication process with AWS Identity and Access Management (IAM) to securely authenticate their application to invoke large language models (LLMs) within Amazon Bedrock.

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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. His expertise is in generative AI, large language models (LLM), multi-agent techniques, and multimodal learning.

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AWS Machine Learning Blog

JUNE 25, 2024

Large language models (LLMs) have transformed the way we engage with and process natural language. These powerful models can understand, generate, and analyze text, unlocking a wide range of possibilities across various domains and industries. This provides an automated deployment experience on your AWS account.

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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

In recent years, generative AI has surged in popularity, transforming fields like text generation, image creation, and code development. Its ability to automate and enhance creative tasks makes it a valuable skill for professionals across industries.

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AWS Machine Learning Blog

FEBRUARY 10, 2025

Recognizing the growing complexity of business processes and the increasing demand for automation, the integration of generative AI skills into environments has become essential. Appian has led the charge by offering generative AI skills powered by a collaboration with Amazon Bedrock and Anthropics Claude large language models (LLMs).

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