Remove Data Processing Remove Document Remove Experimentation Remove Testing
article thumbnail

Try semantic search with the Amazon OpenSearch Service vector engine

AWS Big Data

Lexical search looks for words in the documents that appear in the queries. For the demo, we’re using the Amazon Titan foundation model hosted on Amazon Bedrock for embeddings, with no fine tuning. In lexical search, the search engine compares the words in the search query to the words in the documents, matching word for word.

article thumbnail

6 best practices to develop a corporate use policy for generative AI

CIO Business Intelligence

In fact, it’s likely your organization has a large number of employees currently experimenting with generative AI, and as this activity moves from experimentation to real-life deployment, it’s important to be proactive before unintended consequences happen. This may include developing training videos and hosting live sessions.

Risk 117
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Amazon OpenSearch Service search enhancements: 2023 roundup

AWS Big Data

Lexical search In lexical search, the search engine compares the words in the search query to the words in the documents, matching word for word. Semantic search doesn’t match individual query terms—it finds documents whose vector embedding is near the query’s embedding in the vector space and therefore semantically similar to the query.

article thumbnail

What’s new with Amazon MWAA support for Apache Airflow version 2.4.3

AWS Big Data

The workflow steps are as follows: The producer DAG makes an API call to a publicly hosted API to retrieve data. Test the feature To test this feature, run the producer DAG. Removal of experimental Smart Sensors. For detailed release documentation with sample code, visit the Apache Airflow v2.4.0 Airflow v2.4.0

Testing 100
article thumbnail

Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. Code (62%) : Gen AI helps developers write code more efficiently and with fewer errors.

article thumbnail

DataRobot Notebooks: Enhanced Code-First Experience for Rapid AI Experimentation

DataRobot Blog

ML model builders spend a ton of time running multiple experiments in a data science notebook environment before moving the well-tested and robust models from those experiments to a secure, production-grade environment for general consumption. A host of open-source libraries. Deep Dive into DataRobot Notebooks. Auto-scale compute.

article thumbnail

Who Owns Web Analytics? A Framework For Critical Thinking.

Occam's Razor

The four pronged real world tested probing and loaded with politics framework to find a home for Web Analytics: 1. Who owns the power to make changes to the site (not who owns updating pages or hosting the site)? I hope it is of value to you all (and now you don't have to pay me large sums of money to do this for you!).