AWS Machine Learning Blog

DECEMBER 14, 2023

In November 2022, we announced that AWS customers can generate images from text with Stable Diffusion models in Amazon SageMaker JumpStart , a machine learning (ML) hub offering models, algorithms, and solutions. This technique is particularly useful for knowledge-intensive natural language processing (NLP) tasks.

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AWS Machine Learning Blog

APRIL 3, 2024

Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. With Amazon Titan Multimodal Embeddings, you can generate embeddings for your content and store them in a vector database.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Amazon Bedrock provides a broad range of models from Amazon and third-party providers, including Anthropic, AI21, Meta, Cohere, and Stability AI, and covers a wide range of use cases, including text and image generation, embedding, chat, high-level agents with reasoning and orchestration, and more.

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AWS Machine Learning Blog

AUGUST 14, 2023

In this post, we showcase how to build an end-to-end generative AI application for enterprise search with Retrieval Augmented Generation (RAG) by using Haystack pipelines and the Falcon-40b-instruct model from Amazon SageMaker JumpStart and Amazon OpenSearch Service. It also hosts foundation models solely developed by Amazon, such as AlexaTM.

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Hacker News

NOVEMBER 15, 2023

To understand the latest advance in generative AI , imagine a courtroom. Like a good judge, large language models ( LLMs ) can respond to a wide variety of human queries. Like a good judge, large language models ( LLMs ) can respond to a wide variety of human queries. So, What Is Retrieval-Augmented Generation?

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AWS Machine Learning Blog

NOVEMBER 27, 2023

Generative artificial intelligence ( generative AI ) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. While this data holds valuable insights, its unstructured nature makes it difficult for AI algorithms to interpret and learn from it. read HTML).

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AWS Machine Learning Blog

FEBRUARY 2, 2024

One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). Embeddings capture the information content in bodies of text, allowing natural language processing (NLP) models to work with language in a numeric form. The full sample code is available on GitHub.

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AWS Machine Learning Blog

MARCH 1, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. For RAG-based applications, the accuracy of the generated response from large language models (LLMs) is dependent on the context provided to the model. Context is retrieved from the vector database based on the user query.

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Mlearning.ai

JUNE 14, 2023

Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1)

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AWS Machine Learning Blog

JANUARY 24, 2024

Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) with these solutions has become increasingly popular. Where is the data processed? Who has access to the data?

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Mlearning.ai

JUNE 23, 2023

A database that help index and search at blazing speed. Relational databases (like MySQL) or No-SQL databases (AWS DynamoDB) can store structured or even semi-structured data but there is one inherent problem. Unstructured data is hard to store in relational databases.

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps).

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. And although generative AI has appeared in previous events, this year we’re taking it to the next level.

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AWS Machine Learning Blog

OCTOBER 31, 2023

In early 2023, when Schneider Electric decided to automate part of its accounts linking process using artificial intelligence (AI), the company partnered with the AWS Machine Learning Solutions Lab (MLSL). The following diagram illustrates this process.

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AWS Machine Learning Blog

MAY 25, 2023

One of the most common applications of generative AI and large language models (LLMs) in an enterprise environment is answering questions based on the enterprise’s knowledge corpus. Amazon Lex provides the framework for building AI based chatbots. Solution overview We use the SageMaker docs as the knowledge corpus for this post.

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Dataconomy

MARCH 13, 2023

The creation of artificial intelligence (AI) has long been a dream of scientists, engineers, and innovators. With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. How to create an artificial intelligence?

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AWS Machine Learning Blog

APRIL 8, 2024

Whether you have data stored in databases or in PDFs, LlamaIndex makes it straightforward to bring that data into use for LLMs. RAG introduces an effective approach for building conversational agents and AI assistants with contextualized, high-quality responses. For account setup instructions, see Create an AWS Account.

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AWS Machine Learning Blog

MARCH 13, 2024

In this post, we introduce solutions that enable audio and text chat moderation using various AWS services, including Amazon Transcribe , Amazon Comprehend , Amazon Bedrock , and Amazon OpenSearch Service. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies.

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AWS Machine Learning Blog

APRIL 24, 2023

Since conversational AI has improved in recent years, many businesses have adopted cutting-edge technologies like AI-powered chatbots and AI-powered agent support to improve customer service while increasing productivity and lowering costs. Initially, I believed that implementing AI would be costly.

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AWS Machine Learning Blog

AUGUST 21, 2023

Predictions of these are now highly achievable from admission notes alone, through the use of natural language processing (NLP) algorithms [1]. The endpoint_name must be unique within a Region in your AWS account. In the Jupyter notebook, we deploy a Hugging Face model container to a SageMaker endpoint.

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AWS Machine Learning Blog

APRIL 16, 2024

For example, you can visually explore data sources like databases, tables, and schemas directly from your JupyterLab ecosystem. After you have set up connections (illustrated in the next section), you can list data connections, browse databases and tables, and inspect schemas. This new feature enables you to perform various functions.

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Dataconomy

SEPTEMBER 4, 2023

It uses natural language processing (NLP) techniques to extract valuable insights from textual data. Cloud-based business intelligence (BI): Cloud-based BI tools enable organizations to access and analyze data from cloud-based sources and on-premises databases.

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O'Reilly Media

AUGUST 8, 2023

At its peak, ChatGPT was in very exclusive company: it’s not quite on the level of Python, Kubernetes, and Java, but it’s in the mix with AWS and React, and significantly ahead of Docker. What’s more interesting, though, is that the search term “Generative AI” suddenly emerged from the pack as the third most popular search term.

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Flipboard

OCTOBER 25, 2023

However, with the help of AI and machine learning (ML), new software tools are now available to unearth the value of unstructured data. In this post, we discuss how AWS can help you successfully address the challenges of extracting insights from unstructured data. You can integrate different technologies or tools to build a solution.

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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.” While many of us dream of having a job in AI that doesn’t require knowing AI tools and skillsets, that’s not actually the case.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

They are processing data across channels, including recorded contact center interactions, emails, chat and other digital channels. Solution requirements Principal provides investment services through Genesys Cloud CX, a cloud-based contact center that provides powerful, native integrations with AWS.

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AWS Machine Learning Blog

APRIL 24, 2024

Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. With AWS generative AI services like Amazon Bedrock , developers can create systems that expertly manage and respond to user requests.

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AWS Machine Learning Blog

MAY 2, 2023

For example, a health insurance company may want their question answering bot to answer questions using the latest information stored in their enterprise document repository or database, so the answers are accurate and reflect their unique business rules. RAG models were introduced by Lewis et al. For more details, see the GitHub repo.

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AWS Machine Learning Blog

MAY 22, 2023

Generative AI is in the midst of a period of stunning growth. Increasingly capable foundation models are being released continuously, with large language models (LLMs) being one of the most visible model classes. Prerequisites To get started, all you need is an AWS account in which you can use Studio.

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AWS Machine Learning Blog

APRIL 19, 2024

We stored the embeddings in a vector database and then used the Large Language-and-Vision Assistant (LLaVA 1.5-7b) 7b) model to generate text responses to user questions based on the most similar slide retrieved from the vector database. These steps are completed prior to the user interaction steps.

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AWS Machine Learning Blog

FEBRUARY 28, 2024

Structured Query Language (SQL) is a complex language that requires an understanding of databases and metadata. Today, generative AI can enable people without SQL knowledge. The solution in this post aims to bring enterprise analytics operations to the next level by shortening the path to your data using natural language.

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AWS Machine Learning Blog

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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AWS Machine Learning Blog

FEBRUARY 19, 2024

Internally, Amazon Bedrock uses embeddings stored in a vector database to augment user query context at runtime and enable a managed RAG architecture solution. Retrieval Augmented Generation RAG is an approach to natural language generation that incorporates information retrieval into the generation process.

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AWS Machine Learning Blog

JANUARY 4, 2024

Generative AI has opened up a lot of potential in the field of AI. One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. The primary goal is to automatically generate SQL queries from natural language text.

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AWS Machine Learning Blog

NOVEMBER 24, 2023

This is where Amazon Bedrock with its generative AI capabilities steps in to reshape the game. In this post, we dive into how Amazon Bedrock is transforming the product description generation process, empowering e-retailers to efficiently scale their businesses while conserving valuable time and resources.

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AWS Machine Learning Blog

MAY 13, 2024

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. Since then, Amazon Web Services (AWS) has introduced new services such as Amazon Bedrock. It is time-consuming but, at the same time, critical.

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Flipboard

NOVEMBER 17, 2023

Generative AI models have the potential to revolutionize enterprise operations, but businesses must carefully consider how to harness their power while overcoming challenges such as safeguarding data and ensuring the quality of AI-generated content. Set up the database access and network access.

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