Flipboard

JULY 7, 2025

Step 1: Cover the Fundamentals You can skip this step if you already know the basics of programming, machine learning, and natural language processing. Step 2: Understand Core Architectures Behind Large Language Models Large language models rely on various architectures, with transformers being the most prominent foundation.

Natural Language Processing 160

Natural Language Processing Machine Learning Machine Learning Data Science 160

Flipboard

FEBRUARY 11, 2025

Amazon Q Business , a new generative AI-powered assistant, can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in an enterprises systems. These tasks often involve processing vast amounts of documents, which can be time-consuming and labor-intensive.

AWS 153

AWS ML ML Machine Learning 153

Flipboard

DECEMBER 3, 2024

This conversational agent offers a new intuitive way to access the extensive quantity of seed product information to enable seed recommendations, providing farmers and sales representatives with an additional tool to quickly retrieve relevant seed information, complementing their expertise and supporting collaborative, informed decision-making.

AWS 146

AWS AI Machine Learning Machine Learning 146

AWS Machine Learning Blog

MAY 15, 2025

The banking industry has long struggled with the inefficiencies associated with repetitive processes such as information extraction, document review, and auditing. To address these inefficiencies, the implementation of advanced information extraction systems is crucial.

AWS 96

AWS ML ML Machine Learning 96

AWS Machine Learning Blog

NOVEMBER 25, 2024

You can try out the models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. For more information, refer to Shut down and Update Studio Classic Apps.

AWS 112

AWS ML ML Machine Learning 112

Flipboard

JANUARY 6, 2025

The federal government agency Precise worked with needed to automate manual processes for document intake and image processing. The agency wanted to use AI [artificial intelligence] and ML to automate document digitization, and it also needed help understanding each document it digitizes, says Duan.

AWS 65

AWS ML ML Machine Learning 65

Data Science Dojo

FEBRUARY 13, 2025

Machine Learning & AI Applications Discover the latest advancements in AI-driven automation, natural language processing (NLP), and computer vision. Machine Learning & Deep Learning Advances Gain insights into the latest ML models, neural networks, and generative AI applications.

Big Data 300

Big Data Big Data AI AI 300

AWS Machine Learning Blog

DECEMBER 23, 2024

Virtual Agent: Thats great, please say your 5 character booking reference, you will find it at the top of the information pack we sent. Virtual Agent: Thats great, please say your 5 character booking reference, you will find it at the top of the information pack we sent. Customer: Id like to check my booking. Please say yes or no.

AWS 120

AWS Natural Language Processing ML ML 120

Dataconomy

MARCH 17, 2025

By harnessing the power of machine learning (ML) and natural language processing (NLP), businesses can streamline their data analysis processes and make more informed decisions. Augmented analytics is revolutionizing how organizations interact with their data. What is augmented analytics?

Augmented Analytics 91

Augmented Analytics Analytics Analytics Natural Language Processing 91

AWS Machine Learning Blog

NOVEMBER 29, 2024

Your task is to provide a concise 1-2 sentence summary of the given text that captures the main points or key information. The summary should be concise yet informative, capturing the essence of the text in just 1-2 sentences. context} Please read the provided text carefully and thoroughly to understand its content.

AI 135

AI AI ML ML 135

Dataconomy

DECEMBER 18, 2024

Indeed, attackers are increasingly leveraging AI to efficiently gather and process information about their targets, prepare phishing campaigns, and develop new versions of malware, enhancing the power and effectiveness of their malicious operations. Since DL falls under ML, this discussion will primarily focus on machine learning.

AI 91

AI AI Machine Learning Machine Learning 91

Flipboard

MAY 28, 2025

Machine learning (ML) has emerged as a powerful tool to help nonprofits expedite manual processes, quickly unlock insights from data, and accelerate mission outcomesfrom personalizing marketing materials for donors to predicting member churn and donation patterns. It supports multiple predictive problem types.

Machine Learning 120

Machine Learning Machine Learning ML ML 120

AWS Machine Learning Blog

NOVEMBER 13, 2024

By offering real-time translations into multiple languages, viewers from around the world can engage with live content as if it were delivered in their first language. In addition, the extension’s capabilities extend beyond mere transcription and translation. Chiara Relandini is an Associate Solutions Architect at AWS.

AWS 133

AWS AI AI Natural Language Processing 133

Flipboard

JUNE 17, 2025

Large language models (LLMs) have transformed natural language processing (NLP), yet converting conversational queries into structured data analysis remains complex. Amazon Bedrock Knowledge Bases enables direct natural language interactions with structured data sources.

AWS 148

AWS SQL Database Natural Language Processing 148

AWS Machine Learning Blog

MARCH 17, 2025

Large language models (LLMs) have revolutionized the field of natural language processing, enabling machines to understand and generate human-like text with remarkable accuracy. However, despite their impressive language capabilities, LLMs are inherently limited by the data they were trained on.

AWS 118

AWS Natural Language Processing ML ML 118

Flipboard

APRIL 23, 2025

The integration of modern natural language processing (NLP) and LLM technologies enhances metadata accuracy, enabling more precise search functionality and streamlined document management. The process takes the extractive summary as input, which helps reduce computation time and costs by focusing on the most relevant content.

AWS 108

AWS ML ML Natural Language Processing 108

Flipboard

JULY 3, 2025

Although rapid generative AI advancements are revolutionizing organizational natural language processing tasks, developers and data scientists face significant challenges customizing these large models. There are three personas: admin, data engineer, and user, which can be a data scientist or an ML engineer.

ML 114

ML AWS ML Data Engineer 114

AWS Machine Learning Blog

NOVEMBER 15, 2024

This wealth of content provides an opportunity to streamline access to information in a compliant and responsible way. Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles.

AWS 114

AWS AI AI Machine Learning 114

Flipboard

APRIL 24, 2025

This mapping is similar in nature to intent classification, and enables the construction of an LLM prompt that is scoped for each input query (described next). By focusing on the data domain of the input query, redundant information, such as schemas for other data domains in the enterprise data store, can be excluded.

SQL 149

SQL Database AWS ML 149

AWS Machine Learning Blog

NOVEMBER 19, 2024

Sensitive information filters – You can detect sensitive content such as PII or custom regular expressions (regex) entities in user inputs and FM responses. Based on the use case, you can reject inputs that contain sensitive information or redact them in FM responses. test_type is either INPUT or OUTPUT.

Natural Language Processing 118

Natural Language Processing AWS AI AI 118

Flipboard

JULY 11, 2025

Extracting information from unstructured documents at scale is a recurring business task. A classic approach to extracting information from text is named entity recognition (NER). Amazon Bedrock Data Automation serves as the primary engine for information extraction.

AWS 128

AWS AI AI ML 128

phData

NOVEMBER 7, 2024

However, with the introduction of the Transformer architecture—initially successful in Natural Language Processing (NLP)—the landscape has shifted. From this point on, each patch is treated as a “token,” akin to words in Natural Language Processing (NLP) tasks.

Natural Language Processing 52

Natural Language Processing AI AI Data Engineer 52

AWS Machine Learning Blog

OCTOBER 18, 2024

Business challenge Today, many developers use AI and machine learning (ML) models to tackle a variety of business cases, from smart identification and natural language processing (NLP) to AI assistants. Kanwaljit Khurmi is a Principal Generative AI/ML Solutions Architect at Amazon Web Services.

AWS 102

AWS AI AI Machine Learning 102

Dataconomy

MARCH 17, 2025

These agents represent a significant advancement over traditional systems by employing machine learning and natural language processing to understand and respond to user inquiries. Machine learning (ML): Allows continuous improvement through data analysis.

Natural Language Processing 91

Natural Language Processing Machine Learning Machine Learning Artificial Intelligence 91

AWS Machine Learning Blog

NOVEMBER 22, 2024

These FMs work well for many use cases but lack domain-specific information that limits their performance at certain tasks. The dataset is clean and organized with about 5,000 data points, and the responses are more conversational than information seeking. This architecture allows these models to use only 13B (about 18.5%) of its 46.7B

Clustering 101

Clustering AWS ML ML 101

AWS Machine Learning Blog

NOVEMBER 15, 2024

Overview of multimodal embeddings and multimodal RAG architectures Multimodal embeddings are mathematical representations that integrate information not only from text but from multiple data modalities—such as product images, graphs, and charts—into a unified vector space.

AWS 109

AWS Computer Science Computer Science Database 109

Pickl AI

JUNE 8, 2025

The Rise of Augmented Analytics Augmented analytics is revolutionizing how data insights are generated by integrating artificial intelligence (AI) and machine learning (ML) into analytics workflows. Over 77% of AI-related job postings now require machine learning expertise, reflecting its critical role in data science jobs.

Data Science 52

Data Science Augmented Analytics Machine Learning Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications. Sonnet across various tasks.

Data Preparation 98

Data Preparation Machine Learning Machine Learning ML 98

Flipboard

JANUARY 9, 2025

Why generative AI is best suited for assistants that support customer journeys Traditional AI assistants that use rules-based navigation or natural language processing (NLP) based guidance fall short when handling the nuances of complex human conversations. Always ask for relevant information and avoid making assumptions.

AWS 159

AWS Machine Learning Machine Learning AI 159

Flipboard

JUNE 17, 2025

Essential Skills for Solo AI Business TL;DR Key Takeaways : A strong understanding of AI fundamentals, including algorithms, neural networks, and natural language processing, is essential for creating effective AI solutions and making informed decisions.

Machine Learning 73

Machine Learning Machine Learning AI AI 73

Flipboard

JUNE 13, 2025

To excel in ML, you must understand its key methodologies: Supervised Learning: Involves training models on labeled datasets for tasks like classification (e.g., These techniques allow you to select the most effective approach for addressing specific challenges, making ML expertise indispensable in AI development.

Artificial Intelligence 73

Artificial Intelligence Artificial Intelligence Exploratory Data Analysis Machine Learning 73

AWS Machine Learning Blog

NOVEMBER 25, 2024

Enterprises face significant challenges accessing and utilizing the vast amounts of information scattered across organization’s various systems. This consolidated index powers the natural language processing and response generation capabilities of Amazon Q. You need the following information before running the script.

Azure 99

Azure AWS Natural Language Processing AI 99

AWS Machine Learning Blog

OCTOBER 29, 2024

Selective logging – Use the capture_input and capture_output parameters to selectively log function inputs or outputs or exclude sensitive information or large data structures that might not be relevant for observability. With a strong background in AI/ML, Ishan specializes in building Generative AI solutions that drive business value.

AWS 114

AWS AI AI Data Scientist 114

AWS Machine Learning Blog

FEBRUARY 12, 2025

Large language models (LLMs) have revolutionized the field of natural language processing with their ability to understand and generate humanlike text. For more information, refer Configure the AWS CLI. This blog post is co-written with Moran beladev, Manos Stergiadis, and Ilya Gusev from Booking.com.

AWS 81

AWS SQL AI AI 81

Flipboard

JUNE 11, 2025

Imagine an AI model that doesn’t just rely on static datasets but actively retrieves the latest medical research, legal precedents, or financial trends to inform its decisions. RAFT dynamically retrieves up-to-date information during training, bridging the gap between static datasets and evolving real-world knowledge.

AI 91

AI AI Machine Learning Machine Learning 91

AWS Machine Learning Blog

DECEMBER 5, 2024

Automated Reasoning checks help prevent factual errors from hallucinations using sound mathematical, logic-based algorithmic verification and reasoning processes to verify the information generated by a model, so outputs align with provided facts and arent based on hallucinated or inconsistent data.

AI 109

AI AWS AI Natural Language Processing 109

Flipboard

JANUARY 14, 2025

This single-agent approach can easily lead to confusion for LLMs because long-context reasoning becomes challenging when different types of information are mixed. Inter-agent communication Communication is the key component of multi-agent collaboration, allowing agents to exchange information and coordinate their actions.

AWS 160

AWS Natural Language Processing AI AI 160