AWS Machine Learning Blog

NOVEMBER 14, 2024

However, model governance functions in an organization are centralized and to perform those functions, teams need access to metadata about model lifecycle activities across those accounts for validation, approval, auditing, and monitoring to manage risk and compliance. Model risk : Risk categorization of the model version.

ML 90

ML Machine Learning Auto-complete Auto-classification 90

AWS Machine Learning Blog

NOVEMBER 15, 2024

A chatbot enables field engineers to quickly access relevant information, troubleshoot issues more effectively, and share knowledge across the organization. Amazon Titan Embedding Text v2 ) and stored in a vector store along with the image as metadata.

LLM 114

LLM Data Analysis Python Generative AI 114

AWS Machine Learning Blog

AUGUST 2, 2023

Images can often be searched using supplemented metadata such as keywords. However, it takes a lot of manual effort to add detailed metadata to potentially thousands of images. Generative AI (GenAI) can be helpful in generating the metadata automatically. This helps us build more refined searches in the image search process.

Automation 82

Automation Generative AI Metadata Machine Learning 82

Becoming Human

MAY 12, 2023

Chatathon by Chatbot Conference Understanding Image Annotation The concept of artificial intelligence refers to a machine or computer that can learn from experience, adapt its behavior accordingly, and perform tasks. AI and machine learning applications require image annotation partners to label and categorize images.

Machine Learning 81

Machine Learning Computer Vision Artificial Intelligence Artificial Intelligence 81

AWS Machine Learning Blog

MAY 7, 2024

Tasks such as routing support tickets, recognizing customers intents from a chatbot conversation session, extracting key entities from contracts, invoices, and other type of documents, as well as analyzing customer feedback are examples of long-standing needs. Intents are categorized into two levels: main intent and sub intent.

Prompt Engineer 116

Prompt Engineer Prompt Engineering Large Language Models LLM 116

Heartbeat

JULY 11, 2023

NLP in Content Marketing: Use Cases Its functions in content marketing introduction include: Sentiment analysis Personalized content recommendations Chatbots and virtual assistants Writing and Editing Competitive analysis Sentiment analysis Sentiment analysis is a valuable use case of Natural Language Processing (NLP) in content marketing.

NLP 40

NLP Natural Language Processing Chatbots Algorithm 40

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Main use cases are around human-like chatbots, summarization, or other content creation such as programming code. Operationalization journey per generative AI user type To simplify the description of the processes, we need to categorize the main generative AI user types, as shown in the following figure.

Generative AI 123

Generative AI Prompt Engineering Prompt Engineer ML 123

LevelAI

OCTOBER 19, 2023

By categorizing specific interactions, one can discern trends, pull relevant screen recordings, and detect keywords that might hint at underlying challenges. Liberating specialists from the minutiae, allowing AI to handle tasks like categorization, and letting them focus on what truly matters: the conversation.

Automation 52

Automation AI AI Categorization 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

Parallel computing Parallel computing refers to carrying out multiple processes simultaneously, and can be categorized according to the granularity at which parallelism is supported by the hardware. The following table shows the metadata of three of the largest accelerated compute instances. 32xlarge 0 16 0 128 512 512 4 x 1.9

ML 94

ML Deep Learning Algorithm Large Language Models 94

AWS Machine Learning Blog

OCTOBER 11, 2024

The workflow consists of the following steps: Either a user through a chatbot UI or an automated process issues a prompt and requests a response from the LLM-based application. The agent returns the LLM response to the chatbot UI or the automated process. The LLM response is passed back to the agent.

Metadata 100

Metadata Generative AI LLM Data Ingestion 100

AWS Machine Learning Blog

DECEMBER 4, 2024

Chatbot deployments : Power customer service chatbots that can handle thousands of concurrent real-time conversations with consistently low latency, delivering the quality of a larger model but at significantly lower operational costs. This allows you to categorize and filter your interactions later.

Metadata 112

Metadata Generative AI Categorization Data Scientist 112