Remove tag hr
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The most valuable AI use cases for business

IBM Journey to AI blog

Humanize HR AI can attract, develop and retain a skills-first workforce. A flood of applications can be screened, sorted and passed to HR team members with precision. Running on neural networks , computer vision enables systems to extract meaningful information from digital images, videos and other visual inputs.

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Data privacy examples

IBM Journey to AI blog

The price tag can add up quickly. For example, the head of HR can see employee records, but they can’t see customer records. .” The CCPA empowers Californians to prevent the sale of their data and have it deleted at their request, among other rights. Organizations face fines of up to USD 7,500 per violation.

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How LotteON built a personalized recommendation system using Amazon SageMaker and MLOps

AWS Machine Learning Blog

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Personalizing Heart Rate Prediction

Bugra Akyildiz

A neural ODE solver that takes z and the future exercise intensity I(t) as input, and solves the personalized ODE to predict the heart rate trajectory HR(t). The model architecture has mainly three components: An encoder LSTM that takes the past workout sequence and outputs the personalized latent representation z.

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Build well-architected IDP solutions with a custom lens – Part 2: Security

AWS Machine Learning Blog

This reduces the need for multiple sets of credentials and provides an opportunity to integrate with existing human resources (HR) processes. For federation with individual AWS accounts, you can use centralized identities for AWS with a SAML 2.0-based based provider with AWS Identity and Access Management (IAM).

IDP 85
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From LLMs to RAG. Elevating Chatbot Performance. What is the Retrieval-Augmented Generation System and How to Implement It Correctly?

deepsense.ai

An office worker could check on any policy without pestering HR. You can use the knowledge about the format to come up with a better hierarchy of separators – for example, using the html tags. You can use some additional metadata with your chunks, such as tags, that can be used to perform initial filtering.

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Prompt Engineering Hacks for ChatGPT & LLM Applications

Topbots

Delimiters can take various forms such as triple quotes (“””), triple backticks (“`), triple dashes (—), angle brackets (< >), XML tags (<tag> </tag>), or section titles. Their purpose is to clearly delineate a section as separate from the rest.