TechEmpower
NOVEMBER 13, 2023
On a different project, we’d just used a Large Language Model (LLM) - in this case OpenAI’s GPT - to provide users with pre-filled text boxes, with content based on choices they’d previously made. This gives Mark more control over the process, without requiring him to write much, and gives the LLM more to work with.
socalTECH
JUNE 25, 2019
Los Angeles-based Retina , a startup which develops machine learning and artificial intelligence software for predicting customer lifetime value (CLV) of a company's customer, said it has launched a new tool that it is offering up to small to middle-market e-commerce businesses.
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socalTECH
OCTOBER 1, 2018
Santa Barbara-based property management software developer Yardi said today that it has launched a new product, which uses machine learning for prescriptive analytics.
socalTECH
JULY 10, 2017
There's been a revolution in the use of artificial intelligence and machine learning in the last few years, by both startups and large companies, to help in a large number of areas. We talked with Tim about how they're now applying this to a new market. What is PointPredictive?
socalTECH
JULY 3, 2018
Los Angeles-based Postie , a new startup focused on using machine learning and "quant marketing" to direct mail, said on Tuesday that it has raised $3.5M Postie says its tools use machine learning to provide automation of direct mail, handling everything from testing and optimization to audience modeling and attribution.
Startup Professionals Musings
MARCH 22, 2019
Image via Pixabay Everyone has heard about the big potential for using artificial intelligence (AI) to expand your business, but many of the small businesses I mentor are still wary of embracing it, because they don’t understand how it works, and fear losing control and unintended consequences. Individual biases must be excluded.
socalTECH
APRIL 10, 2019
One of the hottest sectors of the technology startup market today is the use of artificial intelligence, big data, and machine learning across many different sectors including finance. Machine learning is great at consuming data, taking lots of different data, and finding signal in that data to make predictions.
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