Product Updates
Lakera releases one-line Voxel51 integration to bring full-scale model validation to FiftyOne users.
The Voxel51 integration is here! Check out how to add full-scale model validation to yourworkflow with a single line of code.
Learn how to protect against the most common LLM vulnerabilities
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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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 love Voxel51 and we know that many of our users do too. That’s why we’re super excited to release a one-line integration with Lakera for existing Voxel51 users.
**💡 Pro tip: Already a Voxel51 user? Head over to our integration tutorial here.**
This release lets people who already benefit from Voxel51’s insights add full-scale model validation to their workflow with a single line of code.
At the highest level, the workflow is as follows:
This is it! With Voxel51 and Lakera’s MLTest, you have full visibility of your model’s performance prior to deployment.
You can find more information on the integration here.
Voxel51 + MLTest to analyze YOLOv8
YOLOv8 is all the hype right now. But is it also more robust than the previous versions? We wanted to find out!
Using Voxel51 and MLTest we analyzed the latest YOLOv8 model on COCO and found quite a number of robustness issues and clusters on which the model performance is much lower than expected/
We will publish our in-depth analysis of YOLOv8 soon! Stay tuned!
Learn how to protect against the most common LLM vulnerabilities
Download this guide to delve into the most common LLM security risks and ways to mitigate them.
The CISO's Guide to AI Security
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We've released the first version of a new Prompt Injection Test (PINT) Benchmark that can be used to evaluate any prompt injection detection system with a comprehensive dataset that no model, including ours, is directly trained on.
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