This guide assumes you have some familiarity with MLX and want to make your MLX model or algorithm as efficient as possible.
The guide covers the following:
| <div style="position:absolute;top:-999px;left:-999px"> | |
| <svg | |
| id="effectSvg" | |
| width="200" | |
| height="200" | |
| viewBox="0 0 200 200" | |
| xmlns="http://www.w3.org/2000/svg"> | |
| <filter id="displacementFilter4"> |
| import Control.Monad (when) | |
| import Data.Char (chr, ord) | |
| import Data.IORef | |
| import Data.Word | |
| import Debug.Trace | |
| import System.IO.Unsafe (unsafePerformIO) | |
| import Text.Parsec hiding (State) | |
| import qualified Data.IntMap.Strict as IntMap | |
| import qualified Data.Map as Map | |
| import qualified Text.Parsec as Parsec |
This guide assumes you have some familiarity with MLX and want to make your MLX model or algorithm as efficient as possible.
The guide covers the following:
The Interaction Calculus (IC) is term rewriting system inspired by the Lambda Calculus (λC), but with some major differences:
An IC term is defined by the following grammar:
| # The Interaction Calculus | |
| The Interaction Calculus (IC) is term rewritting system inspired by the Lambda | |
| Calculus (λC), but with some major differences: | |
| 1. Vars are affine: they can only occur up to one time. | |
| 2. Vars are global: they can occur anywhere in the program. | |
| 3. There is a new core primitive: the superposition. | |
| An IC term is defined by the following grammar: |
Relax, I only have one Sunday to work on idea, literally my weekend project. So I tried Deepseek to see if it can help. Surprisingly, it works and it saves me another weekend...
Just chat.deepseek.com (cost = free) with prompts adapted from this gist.
| You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis. | |
| ## Core Principles | |
| 1. EXPLORATION OVER CONCLUSION | |
| - Never rush to conclusions | |
| - Keep exploring until a solution emerges naturally from the evidence | |
| - If uncertain, continue reasoning indefinitely | |
| - Question every assumption and inference |
| import React, { useState, useEffect, useCallback, useRef } from 'react'; | |
| /** | |
| * Represents a point in 3D space within the Lorenz system. | |
| */ | |
| interface Point { | |
| x: number; | |
| y: number; | |
| z: number; | |
| } |
| import React, { useState, useEffect, useCallback, useRef } from 'react'; | |
| type ColoredChar = { | |
| char: string; | |
| color: string; | |
| }; | |
| const defaultConfig = { | |
| scale: 0.05, |
Date: November 20, 2024
Author: Jeremy Howard
Categories: AI Education, fast.ai, Answer.AI
In the rapidly evolving world of artificial intelligence, the need for accessible, practical education has never been more crucial. Today, I am excited to announce that fast.ai is joining forces with Answer.AI to bring you a new era of AI education. This partnership is not just about combining resources; it's about creating a new kind of learning experience that leverages the power of AI to solve real-world problems.