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. So instead, we fill it with a completely custom blurb, written just for him: Hello!
TechEmpower
OCTOBER 9, 2023
Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. With Generative AI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day.
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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.
TechEmpower
JULY 24, 2023
Even when they have talked to multiple developers or development firms, we’re often the first to ask basic questions like “Who are your customers?” Who are the customers? Can you provide specific examples of different types of customers, what they need, and what the system will do for them? will you leverage?
TechCrunch LA
MARCH 30, 2021
“We want to show how future-forward Miami can be,” Matt Lindenberger, REEF’s chief technology officer, told TechCrunch. Starship Technologies CEO Lex Bayer on focus and opportunity in autonomous delivery. Customers would receive a text when the robot arrives so they could go outside and meet it.
socalTECH
FEBRUARY 2, 2018
Irvine-based Bitvore , the big data, artificial intelligence, and data analytics startup, has upped its latest funding round to $14.2M, as part of what appears to be an ongoing $17.75M funding effort. The company's President, Jeff Curie, was also an executive at Access360, IBM, and SupplyFrame.
Xconomy
JUNE 25, 2018
When Cathy Polinsky became chief technology officer of Stitch Fix in late 2016, she knew one of the San Francisco-based company’s key challenges was continually refining its core software algorithm to make sure customers received the right tailored suggestions in their monthly wardrobe boxes. So, she made it into a game.
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