Hard-Boiled Wonderland and the End of the World by Haruki Murakami
A human data processor trained to encrypt data with his mind to protect it from criminal groups.
Two intertwined stories between dystopian Tokyo and a strange isolated town
Picture of Dorian Gray by Oscar Wilde
The beautiful Dorian Gray makes an impulsive wish to stay young while his portrait remains the same, aging over time to absorb the damage of his wild life.
Genius writing and dialog that explores our obsession with youth and beauty.
Mistborn by Brandon Sanderson
Dystopian fantasy novel about a world where ashes fall from the sky and the lower classes are enslaved by the immortal Lord Ruler and his aristocrats. A group uses a type of magic called allomancy, to draw magical powers from metals, to fight back.
The Gay Science by Friedrich Nietzsche
Aphoristic musings on a wide range of topics such as morality, religion, psychology, art, and science. It is written in an energetic, poetic, rhapsodic style. Controversial and guaranteed to provoke a reaction. Not for everyone.
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These terms refer to how many examples a language model needs to perform a task
"Fine-Tuning" is the most common and traditional approach.
100s to 100k+ labeled examples are used. It has strong performance on many benchmarks but needs a new large dataset for every task.
It's better for specific use cases than general tasks.
"Zero-shot" is where no examples are allowed. Only instruction in natural language is given. This method provides maximum convenience but is most challenging for AI. Performing a task without examples is hard for humans too