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EVERYONE HATES MODEL DOCUMENTATION. VERTA IS CHANGING THAT.
July 24, 2023
•
Andy Butkovic
It’s no secret that documentation is, well, boring. Writing documentation is the
least interesting part of the day for creators like data scientists and software
engineers.
ML model documentation is particularly tedious because you have to document not
only the model object itself, but also how the model came to be, its performance
and limitations, and explainability and fairness metrics. Little wonder that
data scientists report spending 40+ hours to document a single model, according
to a recent study.
At the same time, we all know that model documentation is increasingly essential
to prevent knowledge loss when data scientists leave the company, ensure that
the users of a model have the information they need to use it properly, and
comply with increasing AI regulations or prevent massive fines.
And so, at Verta, we want to help model builders write documentation without
distracting from creative work!
--------------------------------------------------------------------------------
REGISTER FOR A LIVE DEMO
Join our 30-minute virtual event on August 2, 2023 at 10:00 AM PT | 1:00 PM ET.
Register
--------------------------------------------------------------------------------
LEVERAGING AI TO DOCUMENT AI
LLMs are well known to be incredibly effective at writing and summarizing text
and code. So we decided to leverage AI to document AI.
Today we are launching into public preview Verta's brand new AI Assisted
Documentation (AIAD) capabilities. AIAD is a “documentation copilot” that
handles the heavy lifting of collecting, collating and formatting information
required to document a model. You can then review and amend the documentation
produced by your AI assistant to ensure that it meets required standards and
accurately incorporates all the necessary data.
To get started, just upload the model into the Verta Model Catalog and let your
AI sidekick make documentation a breeze.
VERTA’S AIAD CAPABILITIES COMBINE THREE SIMPLE IDEAS:
1. Providing templates for model documentation following best practices (e.g.,
model cards, system cards)
2. Providing LLM-enabled writing assistance and suggestions based on the model
3. Automatically generating documentation using information contained in the
model itself (e.g., APIs)
To optimize the LLM outputs for model documentation, we trained the model on a
library of well-known model cards to replicate the tone, style, and level of
detail. We also spent many cycles optimizing and validating the results for a
variety of types of models to minimize hallucinations.
We've seen different attempts to systematize the requirements for model
documentation, such as Google's model cards. But these efforts haven’t gained
traction because data scientists simply don’t have the time or writing support
to complete them. In fact, a recent CHI paper on documentation found that model
cards from sources like Hugging Face and GitHub often were vague, incomplete,
and failed to address ethical dimensions of models. Verta's AI-Assisted
Documentation turns model cards from great-in-theory to great-in-practice.
ACCELERATE DOCUMENTATION 10X STARTING NOW
Our initial tests suggest that Verta’s AIAD capabilities can accelerate
documentation creation by up to 10X, but we think we can push it even further!
Upload your models to see how AIAD can help you write model documentation.
--------------------------------------------------------------------------------
HAPPY WRITING, BUILDING!
Get started today!
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Everyone Hates Model Documentation. Verta Is Changing That.
July 24, 2023
•
Andy Butkovic
AI Assisted Model Documentation in Verta Model Catalog lets ML scientists easily
create accurate and detailed model documentation in minutes, not hours.
Read More
AI Regulations Are Here, and Companies Are Not Prepared
July 12, 2023
•
Manasi Vartak
Verta's survey of 300+ AI executive leaders suggests that most companies are not
prepared to meet the requirements in current and pending AI regulations.
Read More
AI Regulations Are an Opportunity, So Don't Just Check the Compliance Box
June 29, 2023
•
Rory King
Organizations can view upcoming AI regulations as a cost to be endured, or as an
opportunity to gain competitive advantage. We’ve seen this movie before.
Read More
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