doing more outside the course to help ourselves

letting the LLM decide what action to take

setting data secrets with local machine or Google Colab

splitting a big task into several smaller subtasks with JSON for the LLM

outputting JSON (instead of text) as a response to a prompt

using the output from an LLM for another prompt (and so on)

a bare-bones ChatGPT (or chatbot wrapper) on your own computer

forums can become chat rooms and then become forums again

reactive web app framework

the former still has predetermined steps while the latter has more autonomy

listing the different kinds of digital assistants

listing the life-cycle of data through agents

step-by-step guide on how to use a free LLM with a cloud-based interactive notebook

splitting text up with tokenization + removing "textual noise" + reducing tokens with stemming and lemmatization

glossing over ways how "things" can learn about words

highlighting each different kind of the man-made know-how

providing mathematical functions for the Python programmer

using add-ons for Python : installing + importing + programming

summarizing an exercise in matrix data manipulation

allowing any number of arguments in a function

given a date in the yyyy-mm-dd format

grouping objects into a collection of unordered and unchangeable items

grouping objects into a collection of unordered but changeable key-value pairs

grouping objects into a collection of ordered but unchangeable items

grouping objects into a collection of ordered and changeable items

performing operations on plain text variables

different objects with the same variable names

making a subclass that inherits variables of its superclass

packaging variables into a single variable for later use

limiting access of variables and functions to a specific code block