Compliant LLM YC W23

Detect Data Leaking into 3rd Party GenAI tools

[Compliant LLM YC W23 @FiddleCubeAI]

We just launched on YC!

CompliantLLM detects data leaks into 3rd party Gen AI tools, enabling enterprises to integrate sensitive data into their GenAI workflows.

[Y Combinator @ycombinator]

CompliantLLM (@FiddleCubeAI) detects data leaks into any third-party GenAI tools used across your company. It identifies GenAI-specific attacks to catch breaches in both approved and unapproved AI workflows.

https://t.co/AFgRpUoYKl

Congrats on the launch, @kaushik_himself & @nupoor_neha

[Compliant LLM YC W23 @FiddleCubeAI]

Thanks for the love, @fondocom!

We specialize in detecting and preventing data leaks from GenAI used in enterprises.

Our users can confidently integrate sensitive data, while we detect and prevent all GenAI-specific attacks like prompt injection.

[Compliant LLM YC W23 @FiddleCubeAI]

We are live on Launch YC today! Glad to be in the company of Llama 3.1 and Mistral launches this week.
FiddleCube's synthetic data platform is critical to this ecosystem, enabling enterprises to build safe and reliable LLMs.

[Y Combinator @ycombinator]

Use @FiddleCubeAI's (YC W23) synthetic data platform to generate high-quality datasets in minutes instead of months. Fine-tune or distill any model, including llama-3.1, mistral large, or GPT-4o-mini.

https://t.co/mqx4rPIQkZ

[Compliant LLM YC W23 @FiddleCubeAI]

We are live on HN today!

In 3 lines of code, generate a golden dataset to test your LLM. Auto-generate diverse queries and their ideal responses from the prompt and RAG contexts.

Use the golden dataset to test, evaluate, and fine-tune an LLM.

[Compliant LLM YC W23 @FiddleCubeAI]

@ylecun Soon releasing an SDK that will enable any app to collect human feedback.

[Compliant LLM YC W23 @FiddleCubeAI]

Soon releasing an SDK that will enable any app to collect human feedback.

[Yann LeCun @ylecun]

Human feedback for open source LLMs needs to be crowd-sourced, Wikipedia style.
It is the only way for LLMs to become the repository of all human knowledge and cultures.
Who wants to build the platform for this?

[Compliant LLM YC W23 @FiddleCubeAI]

Real glad to have their support!

Reach out to us to generate high quality datasets that will continuously improve your models!

[Oasis Capital @OasisCapitalVC]

We're Proud to support @FiddleCubeAI, an innovative platform revolutionizing the creation of high-quality datasets for AI models! Their game-changing tech paves the way for a brighter AI future.

#OasisCapital #FiddleCube #AI

🔗 https://t.co/wwhFaUTI7y

[Compliant LLM YC W23 @FiddleCubeAI]

The @ycombinator data stack:
Sign up at https://t.co/KtPAYpL3KU to run models fine-tuned on your data.

[Max Rumpf @maxrumpf]

📝 Dataset Generation & Handling

@scale_AI: Scale has pioneered in the data labeling industry by combining AI-based techniques with human-in-the-loop, delivering labeled data at unprecedented quality, scalability, and efficiency.

@FiddleCubeAI: Generate high-quality datasets for fine-tuning LLMs in minutes.

@pyq_AI: Easy way for developers to train and deploy task-specific AI models in the cloud. Pyq does so by providing easy-to-use software that takes in your datasets and task as inputs, and outputs a custom AI model.

@DAGWork’s Hamilton: Open-source micro-orchestration framework for describing data flows. Companies use it for modeling data and feature engineering pipelines, prompt engineering, and LLM application workflows.

@QueryVary: Test suite for LLMs.