However, LLMs also have limitations. They can generate incorrect or biased information if the data they were trained on is biased. They also do not truly "understand" language or concepts in the way humans do; they are just very good at predicting text patterns.
52
486 reads
CURATED FROM
IDEAS CURATED BY
Learn about Large language models
“
Similar ideas
Our brains must make sense of the confusing world around us by processing a never-ending stream of information. Ideally, our brains would analyze everything thoroughly. However, they cannot, because it is too impractical.
Humans are not very good at self-evaluation and may be unaware of how ignorant they are. This psychological deficiency is known as the Dunning-Kruger Effect, where an illusory superiority clouds the individual and forms a cognitive bias which makes them hold many overly ...
Read & Learn
20x Faster
without
deepstash
with
deepstash
with
deepstash
Personalized microlearning
—
100+ Learning Journeys
—
Access to 200,000+ ideas
—
Access to the mobile app
—
Unlimited idea saving
—
—
Unlimited history
—
—
Unlimited listening to ideas
—
—
Downloading & offline access
—
—
Supercharge your mind with one idea per day
Enter your email and spend 1 minute every day to learn something new.
I agree to receive email updates