Sisense
SEPTEMBER 30, 2020
When creating a resource and community to help developers get the most out of your product, it’s important to empower them to contribute to developer documentation and not just have all your content coming from product or tech writers. Remember, the people who are writing documentation are not necessarily experts at visual design.)
AWS Big Data
AUGUST 21, 2023
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.
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CIO Business Intelligence
APRIL 14, 2023
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.
DataRobot Blog
NOVEMBER 15, 2022
At the event, a financial services panel discussion shared why iteration and experimentation are critical in an AI-driven data science environment. With DataRobot , Sara has the ability to explain the models that her Data Science team is creating and can automatically generate the required compliance documentation. Request a demo.
CIO Business Intelligence
NOVEMBER 21, 2023
Still, there is a steep divide between rogue and shadow IT, which came under discussion at a recent Coffee with Digital Trailblazers event I hosted. Without a strong delivery model and communication plan, frustrated business stakeholders are likelier to buy and try implementing a technology solution without IT’s involvement.
AWS Big Data
JANUARY 9, 2024
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.
AWS Big Data
MAY 2, 2023
The workflow steps are as follows: The producer DAG makes an API call to a publicly hosted API to retrieve data. Removal of experimental Smart Sensors. For detailed release documentation with sample code, visit the Apache Airflow v2.4.0 The latter is only needed if it’s a different bucket than the Amazon MWAA bucket.
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