TechEmpower Innovation
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.
IdeaScale
JUNE 27, 2018
So in this article we will address a new emerging theme: machine learning and try to answer the question “ who learns faster, a machine or an human?” How does a machine learn? The way machines learn is a buzzword in the current innovation and technology industry.
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Idea to Value
AUGUST 10, 2021
It can also lead to innovation efforts that are focussed on solving one issue inadvertently causing many more issues as a result. One area where Goodhart’s Law gets even more dangerous is in target-based software development, especially Artificial Intelligence and Machine Learning.
Business and Tech
MARCH 21, 2023
The contents are updated and there are the beginnings of subjects like ethics and software development life cycle, but the bulk is still algorithms, coding, and platforms. Although there are exciting developments in machine learning, the broad topic of artificial intelligence dates back to the 1950s.
Planview
MARCH 15, 2024
Any group suffering from the growing pains of scaling software delivery can attest to this value. But while the increasing number of companies adopting VSM has changed how teams build from project to product, a new innovative approach hits the spotlight: generative AI (genAI).
TechEmpower Innovation
JULY 24, 2023
At TechEmpower, we frequently talk to startup founders, CEOs, product leaders, and other innovators about their next big tech initiative. After all, that’s what tech innovation is all about. After all, that’s what tech innovation is all about. The innovator/developer relationship needs to be a conversation.
Tullio Siragusa
DECEMBER 19, 2022
The software industry is constantly evolving, and there are always new technologies and programming languages to learn, such as cloud computing, AI, blockchain, and machine learning. Building and implementing algorithms for machine learning and artificial intelligence in IoT devices and applications.
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