Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.
Avoid being a link dump. Try to provide only valuable well tuned information.
Neural network links before starting with transformers.
| import typing as T | |
| import cytoolz.curried as tz | |
| import pyspark | |
| from pyspark.sql.functions import explode | |
| def schema_to_columns(schema: pyspark.sql.types.StructType) -> T.List[T.List[str]]: | |
| columns = list() |
| # Update Jan 2024 | |
| # Deploying Cloud Functions is much simpler than it was 6 years ago. | |
| # I'm leaving the gist in it's original 2018 state for now, | |
| # but skip the the recent comments below for a simpler solution. | |
| variables: | |
| GCP_ZONE: us-central1-a | |
| stages: | |
| - npm-install |
| # [<tag>] (If applied, this commit will...) <subject> (Max 72 char) | |
| # |<---- Preferably using up to 50 chars --->|<------------------->| | |
| # Example: | |
| # [feat] Implement automated commit messages | |
| # (Optional) Explain why this change is being made | |
| # |<---- Try To Limit Each Line to a Maximum Of 72 Characters ---->| | |
| # (Optional) Provide links or keys to any relevant tickets, articles or other resources | |
| # Example: Github issue #23 |
Code is clean if it can be understood easily – by everyone on the team. Clean code can be read and enhanced by a developer other than its original author. With understandability comes readability, changeability, extensibility and maintainability.
| # <type>: (If applied, this commit will...) <subject> (Max 50 char) | |
| # |<---- Using a Maximum Of 50 Characters ---->| | |
| # Explain why this change is being made | |
| # |<---- Try To Limit Each Line to a Maximum Of 72 Characters ---->| | |
| # Provide links or keys to any relevant tickets, articles or other resources | |
| # Example: Github issue #23 |