We are excited to announce the release of our first integration with FiftyOne by Voxel51. This integration makes it possible to benefit from FiftyOne's powerful visualization features to dig into the insights generated by Lakera's MLTest. Read on to learn how you can benefit from this.
Download this guide to delve into the most common LLM security risks and ways to mitigate them.
In-context learning
As users increasingly rely on Large Language Models (LLMs) to accomplish their daily tasks, their concerns about the potential leakage of private data by these models have surged.
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A: At the beginning there was 10 cookies, then 2 of them were eaten, so 8 cookies were left. Then 5 cookieswere given toa friend, so 3 cookies were left. 3 cookies + 2 boxes of 2 cookies (4 cookies) = 7 cookies. Youhave 7 cookies.
English to French Translation:
Q: A bartender had 20 pints. One customer has broken one pint, another has broken 5 pints. A bartender boughtthree boxes, 4 pints in each. How many pints does bartender have now?
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Lorem ipsum dolor sit amet, Q: I had 10 cookies. I ate 2 of them, and then I gave 5 of them to my friend. My grandma gave me another 2boxes of cookies, with 2 cookies inside each box. How many cookies do I have now?
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A: At the beginning there was 10 cookies, then 2 of them were eaten, so 8 cookies were left. Then 5 cookieswere given toa friend, so 3 cookies were left. 3 cookies + 2 boxes of 2 cookies (4 cookies) = 7 cookies. Youhave 7 cookies.
English to French Translation:
Q: A bartender had 20 pints. One customer has broken one pint, another has broken 5 pints. A bartender boughtthree boxes, 4 pints in each. How many pints does bartender have now?
We are excited to announce the release of our first integration with FiftyOne by Voxel51.
Lakera is a leader in evaluating and testing computer vision models and data–to ensure safe, fair, and robust AI. FiftyOne by Voxel51 is a fantastic tool to visualize your data and curating high-quality datasets.
💡 Already a Voxel51 user? You can get started with MLTest in minutes.
Now we've made it possible to benefit from FifyOne's powerful visualization features to dig into the insights generated by Lakera's MLTest. This is particularly convenient if you are already a FiftyOne user, as everything will fit right into your workflow.
Every ML engineer has to constantly compare and select the best models for deployment. Either to compare a release candidate to the current production version, to test for regressions when quantizing models, or while doing a hyperparameter search. MLTest provides in-depth functionality to evaluate and compare models that go beyond standard ML metrics and include robustness, fairness, generalizability, and more. It also gives a neat diff-like comparison of one model against another, enabling you to make your decisions quickly.
Our new integration with FiftyOne now enables you to go deeper–for those times when you need to compare models on a prediction-by-prediction basis. To that end, we export all model predictions for individual images to easily load and inspect them with FiftyOne. This makes it easy to quickly compare the predictions for a specific class and filter by false positives/negatives.
MLTest automatically finds and clusters images on which your models don't perform as expected. This happens by analyzing your model's performance and grouping the images based on image embeddings, metadata you provide, and metadata MLTest automatically adds to your images. You can see an example below:
Getting started with Lakera and FiftyOne is easy. Head over to our docs on the integration. It includes an executable example as a Jupyter Notebook to get you up and running as quickly as possible. We've also previously reviewed the onboarding experience and features of FiftyOne, here.
💡 Learn more about MLTest's benefits, getting started is a matter of minutes.
If you have any questions or would like to continue the discussion around other ways to integrate FiftyOne, please reach out to Santiago at santiago@lakera.ai.
Download this guide to delve into the most common LLM security risks and ways to mitigate them.
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Compare the EU AI Act and the White House’s AI Bill of Rights.
Get Lakera's AI Security Guide for an overview of threats and protection strategies.
Explore real-world LLM exploits, case studies, and mitigation strategies with Lakera.
Use our checklist to evaluate and select the best LLM security tools for your enterprise.
Discover risks and solutions with the Lakera LLM Security Playbook.
Discover risks and solutions with the Lakera LLM Security Playbook.
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