Compliant LLM YC W23

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. ycombinator.com/launches/OBo-c… Congrats on the launch, @kaushik_himself & @nupoor_neha

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. ycombinator.com/launches/LRg-f…

Open LLMs need to get organized and co-ordinated about sharing human feedback. It's the weakest link with Open LLMs right now. They don't have 100m+ people giving feedback like in the case of OpenAI/Anthropic/Bard. They can always progress with a Terms-of-Service arbitrage, but no at-scale customer would touch models fine-tuned with sketchy Human-alignment data "synthesized from" GPT-4. I was hoping @huggingface plugged this gap, but if we're honest about the Open movement, what we're doing is not enough. Lots of products need to connect into Open models and publish human feedback as legitimate large-scale open datasets.

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 🔗 fiddlecube.ai

📝 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.