≈ ⸿ooper Applied Technology.com
(TM SM R) From development to deployment we Compose, Customize and
Write Algorithm Instructions coded for Computer
Systems, Electronic Devices, Robotics NLP Artificial Intelligence (AI)---Machine Learning
(ML)---Generative Artificial Intelligence (GAI) -------------- emailto:
richardcooper@frontier.com or 5852561449 us, we are real people not an
AI ChatGPT |
How do humans learn? education,
experience & practice.
How do computer systems learn? Algorithms
& training data & data & practice.
Algorithms are a
set of instructions & rules that are the basic building blocks for computer
systems, electronic
devices & robotics NLP to learn & operate on their own.
Artificial intelligence (AI) algorithms enables
computers and machines to simulate human
intelligence, problem-solving capabilities & to mimic cognitive functions associated
with humans. Such as being able to see,
understand, and respond
to spoken or
written language, analyze data, make recommendations and more.
Machine Learning (ML) is a subset of artificial intelligence that automatically
enables a machine
to learn and improve
from algorithms, training data & analyzing large amounts of data.
The more data used, the more effective the
machine learning (ML) will bet.
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Artificial Intelligence (AI) algorithms can solve
problems using data from various
sources,
verifying & monitoring the operating results, decision
making & translations between languages better than
human intelligence.
Generative
Artificial Intelligence (GAI) is a subset of artificial intelligence using
algorithms to
create brand-new output, such as text, photos,
videos, data, or 3D rendering from the vast amounts
of training data and data. (GAI) learns to use patterns & rules that they’ve
learned to
create
new content to simulate human creativity & generate new convincingly
authentic content.
Generative (AI) algorithms can generate authentic looking videos created for
marketing, selling, education, medical,
information, communications, social media.
Transformers are a type of machine learning neural networks to unlock a program called
called Attention that enables tracking the connections
between words
across pages, chapters and books rather than
just in individual sentences.
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