table of contents

artificial intelligence

2022-10-03

everything should be done from scratch and in lisp

roadmap `[3/15]`

DONE implement decision tree learning

State "DONE" from "TODO" [2023-05-20 Sat 17:56:00]
State "TODO" from [2023-05-20 Sat 17:56:00]

DONE implement multivariate linear regression

State "DONE" from "TODO" [2023-05-20 Sat 17:56:00]
State "TODO" from [2023-05-20 Sat 17:56:00]

DONE implement feedforward neural networks

State "DONE" from "TODO" [2023-05-20 Sat 18:06:00]
State "TODO" from [2023-05-20 Sat 18:06:00]

GO implement a graphical interface for visual analysis

State "GO" from "TODO" [2023-05-20 Sat 18:15:00]
State "TODO" from [2023-05-20 Sat 18:11:00]

TODO abstraction over GPU APIs (CUDA, opencl)

State "TODO" from [2023-05-20 Sat 18:18:00]

TODO implement convolutional neural networks (for image processing)

State "TODO" from [2023-05-20 Sat 03:05:00]

TODO implement reinforcement learning (teach agents some physics?)

State "TODO" from [2023-05-20 Sat 18:36:00]

maybe teach it to draw a circle play ping ping

TODO implement transformers

State "TODO" from [2023-05-20 Sat 03:05:00]

TODO implement support vector machines

State "TODO" from [2023-05-20 Sat 18:14:00]

TODO implement large language models (use llama and falcon-40b)

TODO build an AI companion

State "TODO" from [2023-05-20 Sat 17:55:00]

TODO build an llm agent that modifies its own code

State "TODO" from [2023-05-20 Sat 17:49:00]

TODO build real-world robotic agents (do i have the budget?)

State "TODO" from [2023-05-20 Sat 18:22:00]

TODO study the philosophy of general intelligence

State "TODO" from [2023-05-20 Sat 18:29:00]

TODO study latent spaces

State "TODO" from [2023-09-07 Thu 03:00:00]

study guide