TechCrunch
JUNE 28, 2022
Launched in 2021, Heyday is designed to automatically save web pages and pull in content from cloud apps, resurfacing the content alongside search engine results and curating it into a knowledge base. Investors include Spark Capital, which led a $6.5 million seed round in the company that closed today.
Altexsoft
FEBRUARY 5, 2020
In this article, we’ll discuss what the next best action strategy is and how businesses define the next best action using machine learning-based recommender systems. You can choose from two approaches to enabling the next best action: rule-based or machine learning-based recommendations.
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Hacker Earth Developers Blog
NOVEMBER 10, 2022
The new technology buzzwords in modern times are blockchain, Artificial Intelligence, Machine Learning, and Natural Language Processing, among others. In such a scenario, the existing skill sets of software developers might become outdated overnight. Lesser supply of skilled software engineers.
AWS Machine Learning - AI
APRIL 23, 2024
This post explores the new enterprise-grade features for Knowledge Bases on Amazon Bedrock and how they align with the AWS Well-Architected Framework. AWS Well-Architected design principles RAG-based applications built using Knowledge Bases for Amazon Bedrock can greatly benefit from following the AWS Well-Architected Framework.
Cloudera
JULY 24, 2023
data engineering pipelines, machine learning models). Cloudera’s Software Engineers/Apache committers can be directly involved in resolving support cases issues when their level of expertise is required.
Apiumhub
MARCH 26, 2019
George Fairbanks is a software developer, consultant, educator, and speaker who’s been developing software since the mid-80’s and teaching software design since the late 1990’s. He’s got a PhD in Software Engineering from Carnegie Mellon University, advised by David Garlan and Bill Scherlis. Peter Eeles.
AWS Machine Learning - AI
DECEMBER 6, 2023
To create AI assistants that are capable of having discussions grounded in specialized enterprise knowledge, we need to connect these powerful but generic LLMs to internal knowledge bases of documents. To understand these limitations, let’s consider again the example of deciding where to invest based on financial reports.
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