Black Seed USA AI Hub - Page 3
Calibration and Outlier Handling in Quantized LLMs: How to Preserve Accuracy When Compressing Models
Learn how calibration and outlier handling preserve accuracy in quantized LLMs, from 4-bit compression techniques to real-world performance trade-offs and best practices for deployment.
Democratization of Software Development Through Vibe Coding: Who Can Build Now
Vibe coding lets anyone build software by talking to AI - no coding skills needed. From students to small business owners, new creators are launching apps in hours, not years. Here’s who can build now and how.
How to Use Cursor for Multi-File AI Changes in Large Codebases
Cursor 2.0 uses AI agents to automate multi-file changes in large codebases, cutting refactoring time from days to minutes. Learn how to use it safely, what it can and can’t do, and how it compares to other AI code tools.
Secure Embedding Stores: How to Protect Vectorized Private Documents
Secure embedding stores protect private documents by securing vectorized data used in AI systems. Learn how encryption, anonymization, and namespace isolation prevent leaks in vector databases like Pinecone and MongoDB.
Designing Trustworthy Generative AI UX: Transparency, Feedback, and Control
Trust in generative AI isn't optional-it's the key to adoption. Learn how transparency, feedback, and user control create reliable AI experiences that users actually rely on.
Synthetic Data Generation with Multimodal Generative AI: Augmenting Datasets
Synthetic data generated by multimodal AI creates realistic, privacy-safe datasets by combining text, images, audio, and time-series data. It's transforming healthcare, autonomous systems, and enterprise AI by filling data gaps without compromising privacy.