Hacker News
- Show HN: Giskard – Testing framework dedicated to LLMs and Tabular ML models https://github.com/Giskard-AI/giskard 8 comments
Linking pages
- How to test the fairness of ML models? The 80% rule to measure the disparate impact https://www.giskard.ai/knowledge/how-to-test-ml-models-5-the-80-rule-to-measure-disparity 2 comments
- How to test Machine Learning Models? Metamorphic testing https://www.giskard.ai/knowledge/how-to-test-ml-models-4-metamorphic-testing 1 comment
- How to test categorical data drift in Machine Learning systems https://www.giskard.ai/knowledge/how-to-test-ml-models-2-n-categorical-data-drift 0 comments
- How to deploy a robust HuggingFace AI model for sentiment analysis into production? https://www.giskard.ai/knowledge/how-to-deploy-a-robust-huggingface-ai-model-for-sentiment-analysis-into-production 0 comments
- GitHub - Renumics/awesome-open-data-centric-ai: Curated list of open source tooling for data-centric AI on unstructured data. https://github.com/Renumics/awesome-open-data-centric-ai 0 comments
- Optimizing LLMs: Tools and Techniques for Peak Performance Testing - Semaphore https://semaphoreci.com/blog/llms-performance-testing 0 comments
- Top 9 Libraries to Accelerate LLM Building - by Avi Chawla https://www.blog.aiport.tech/p/top-9-libraries-to-accelerate-llm 0 comments
- AI Systems Security: Top Tools for Preventing Prompt Injection | Sahbi Chaieb https://sahbichaieb.com/ai-security-tools/ 0 comments
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