Dave Nicponski virusdave

## normcore-llm.md

      
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                Normcore LLM Reads
              
          
    Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.
Foundational Concepts


Pre-Transformer Models


## big3.scala
/* Example of encoding Functor/Applicative/Monad from cats with Dotty 0.15 features.
 * Derived in part from Cats -- see https://github.com/typelevel/cats/blob/master/COPYING for full license & copyright.
 */
package structures

import scala.annotation._

trait Functor[F[_]] {
  def (fa: F[A]) map[A, B](f: A => B): F[B]
  def (fa: F[A]) as[A, B](b: B): F[B] =
	/* Example of encoding Functor/Applicative/Monad from cats with Dotty 0.15 features.
	* Derived in part from Cats -- see https://github.com/typelevel/cats/blob/master/COPYING for full license & copyright.
	*/
	package structures

	import scala.annotation._

	trait Functor[F[_]] {
	def (fa: F[A]) map[A, B](f: A => B): F[B]
	def (fa: F[A]) as[A, B](b: B): F[B] =