Latest posts
- Meta’s new Llama 3.1 models are here! Are you ready for it? - Meta released Llama 3.1 today signaling a new era of open source AI. The Llama 3.1 models include 8b, 70B, LlamaGuard, and the new Llama 3.1 405B, the largest open source foundation model with over 400 billion parameters. Llama 3.1 performance will rival OpenAI's GPT-4 model, despite using less than half… ...
- Data-centric AI with Snorkel and MinIO - High-performing AI systems require more than a well-designed model. They also require properly constructed training and testing data. ...
- Weak supervision for non-categorical applications + superalignment - We need more labeled data than ever, so we have explored weak supervision for non-categorical applications—with notable results. ...
- Snorkel AI signs strategic collaboration agreement with AWS to help enterprises cross the demo-to-production chasm - To tackle generative AI use cases, Snorkel AI + AWS launched an accelerator program to address the biggest blocker: unstructured data. ...
- AI alignment made simple: innovative solutions for businesses - AI alignment ensures that AI systems align with human values, ethics, and policies. Here's a primer on how developers can build safer AI. ...
- How does the Snorkel Flow label model work? - The Snorkel Flow label model plays an instrumental role in driving the enterprise value we create. Here's a peek at how it works. ...
- Vision language models: how LLMs boost image classification - Vision language models demonstrate impressive image classification capabilities, but LLMs can help improve their performance. Learn how. ...
- Long context models in the enterprise: benchmarks and beyond - Snorkel researchers devised a new way to evaluate long context models and address their "lost-in-the-middle" challenges with mediod voting. ...
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