docs(blog): walking talking cube and os lms for data #9886
Closed
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
lostmygithubaccount
added
docs
ibis-docs-bot
bot
removed
the
docs-preview
cpcloud
reviewed
Aug 21, 2024
| ``` | ||
|
|
||
| 1. Alternatively, you can use `s.of_type(float)` to select all float columns. | ||
| 2. Use the `ibis._` selector to reference a deferred column expression. |
There was a problem hiding this comment.
Suggested change
| 2. Use the `ibis._` selector to reference a deferred column expression. | |
| 2. Use the `ibis._` object to reference a deferred column expression. |
_ isn't a selector
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Description of changes
Adds two blogs: "Taking a random cube for a walk and making it talk" and "Using open source language models for data".
The first aims to be short, fun, and explore randomized synthetic data generation with Ibis. It leads into the seconds, generating better fake data with language models. This is used as an opportunity to draw a parallel on separating the interface from the backend (i.e. the language model tooling space is...complicated...right now). After some testing, I realized that
logit_biasdoesn't work via Ollama. Some re-writing and generally more work is needed on the second blog, though I'd like to keep them in one PR and releasing on the same day.Issues closed