AWS Machine Learning - AI

MARCH 14, 2024

Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. In this post, we explore different approaches you can take when building applications that use generative AI.

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CIO

JANUARY 22, 2024

The shock-and-awe campaign to build generative AI into corporate workflows has created some big challenges for businesses. As many are currently finding out the hard way, it’s one thing to adopt a point solution or a single AI-powered function.

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AWS Machine Learning - AI

FEBRUARY 1, 2024

Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are unique considerations when engineering generative AI workloads through a resilience lens. Capacity We can think about capacity in two contexts: inference and training model data pipelines.

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AWS Machine Learning - AI

MAY 9, 2024

In this post, we describe the development of the customer support process in FAST incorporating generative AI, the data, the architecture, and the evaluation of the results. Conversational AI assistants are rapidly transforming customer and employee support. However, they understood that this was not a one-and-done effort.

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AWS Machine Learning - AI

NOVEMBER 30, 2023

We believe generative AI has the potential over time to transform virtually every customer experience we know. Innovative startups like Perplexity AI are going all in on AWS for generative AI. And at the top layer, we’ve been investing in game-changing applications in key areas like generative AI-based coding.

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AWS Machine Learning - AI

NOVEMBER 26, 2023

In this post, we talk about how generative AI is changing the conversational AI industry by providing new customer and bot builder experiences, and the new features in Amazon Lex that take advantage of these advances.

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AWS Machine Learning - AI

MARCH 14, 2024

Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval.

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Cloudera

MAY 31, 2023

Riding the wave of the generative AI revolution, third party large language model (LLM) services like ChatGPT and Bard have swiftly emerged as the talk of the town, converting AI skeptics to evangelists and transforming the way we interact with technology. The good news is that the open source community remains undefeated.

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AWS Machine Learning - AI

NOVEMBER 27, 2023

Generative artificial intelligence ( generative AI ) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. However, these models require massive amounts of clean, structured training data to reach their full potential.

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CIO

APRIL 12, 2024

And while the company prides itself on the wide knowledge of its store employees, no one can be an expert on every product a store sells. A new support tool, Hey GURA, combines generative AI with headsets to provide store employees with all kinds of information on the fly. It makes the team member much more efficient.”

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AWS Machine Learning - AI

DECEMBER 22, 2023

Generative AI agents are capable of producing human-like responses and engaging in natural language conversations by orchestrating a chain of calls to foundation models (FMs) and other augmenting tools based on user input. The agent is equipped with tools that include an Anthropic Claude 2.1

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Perficient

AUGUST 23, 2023

This partnership will help accelerate our AI efforts by leveraging Writer’s capabilities to create content more efficiently and support our clients. This partnership will also accelerate Perficient clients’ use of generative AI, and empower them to create content efficiently and safely.

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AWS Machine Learning - AI

MAY 7, 2024

If you prefer to generate post call recording summaries with Amazon Bedrock rather than Amazon SageMaker, checkout this Bedrock sample solution. Hugging Face is an open-source machine learning (ML) platform that provides tools and resources for the development of AI projects.

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AWS Machine Learning - AI

MAY 30, 2024

Retrieval Augmented Generation vs. fine tuning Traditional LLMs don’t have an understanding of Vitech’s processes and flow, making it imperative to augment the power of LLMs with Vitech’s knowledge base. The VitechIQ user experience can be split into two process flows: document repository, and knowledge retrieval.

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AWS Machine Learning - AI

APRIL 18, 2024

However, despite its benefits, IaC’s learning curve, and the complexity of adhering to your organization’s and industry-specific compliance and security standards, could slow down your cloud adoption journey. Generative artificial intelligence (AI) with Amazon Bedrock directly addresses these challenges.

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AWS Machine Learning - AI

MARCH 28, 2024

These generative AI applications are not only used to automate existing business processes, but also have the ability to transform the experience for customers using these applications.

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Cloudera

DECEMBER 20, 2023

In this post we’ll give you an overview of these new and expanded partnerships and how we see them fitting into the emerging AI technology stack that supports the AI application lifecycle. We’ll start with the enterprise AI stack. Those models are trained or augmented with data from a data management platform.

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AWS Machine Learning - AI

FEBRUARY 28, 2024

Today, generative AI can enable people without SQL knowledge. This generative AI task is called text-to-SQL, which generates SQL queries from natural language processing (NLP) and converts text into semantically correct SQL. Here, the generated SQL is sent for syntax errors.

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Cloudera

OCTOBER 18, 2023

Historically, firms have relied on high-cost, third-party solutions to help identify savings opportunities, however, the landscape is rapidly changing, and the emergence of AI and machine learning (ML) has ushered in a new era of possibilities. Quickest wins!

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AWS Machine Learning - AI

NOVEMBER 22, 2023

The financial service (FinServ) industry has unique generative AI requirements related to domain-specific data, data security, regulatory controls, and industry compliance standards. RAG is a framework for improving the quality of text generation by combining an LLM with an information retrieval (IR) system. Lewis et al.

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O'Reilly Media - Ideas

MAY 14, 2024

Marketing teams have been using machine learning for more than a decade. Now, we’re starting to see these same teams make the use of generative AI in their marketing and sales programs to continue to drive greater productivity and efficiency from their efforts. An AI writer drafts messages to be used with prospects.

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AWS Machine Learning - AI

APRIL 8, 2024

One popular approach is using Retrieval Augmented Generation (RAG) to create Q&A systems that comprehend complex information and provide natural responses to queries. RAG allows models to tap into vast knowledge bases and deliver human-like dialogue for applications like chatbots and enterprise search assistants.

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Ivanti

MAY 29, 2024

Maintaining a deep catalog of knowledge articles to inform end users is an essential — yet often tedious — requirement for IT teams. But generative AI is offering a big assist. And not only is today’s AI faster, but it also lets you personalize the knowledge you share — including translating your articles for a global workforce.

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AWS Machine Learning - AI

MAY 7, 2024

Although much of the current excitement is around LLMs for generative AI tasks, many of the key use cases that you might want to solve have not fundamentally changed. Prompt engineering Prompt engineering enables you to instruct LLMs to generate suggestions, explanations, or completions of text in an interactive way.

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AWS Machine Learning - AI

DECEMBER 6, 2023

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.

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AWS Machine Learning - AI

DECEMBER 22, 2023

on_output() ) By reaching satisfactory evaluations for this triad, you can make a nuanced statement about your application’s correctness; this application is verified to be hallucination free up to the limit of its knowledge base. train_and_test_dataset["train"].to_json("train.jsonl") train_and_test_dataset["train"].to_json("train.jsonl")

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Mobilunity

DECEMBER 5, 2023

Thousands of businesses have started using generative AI, like AI ChatGPT, Jasper, Dall-E, Scribe, etc., And to make the best out of these tools, many of those companies hire a separate specialist — an AI prompt engineer. Prompt Engineering vs. AI Engineering 73% of US marketers use generative AI tools.

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