data labeling

"I put together an updated 2026 list covering AI training, data annotation, LLM feedback, and related AI work"

"We empirically demonstrate that by combining parameter-efficient pre-trained models with large language models, we can improve the reliability and robustness of models, making them more suitable for real-world cybersecurity applications."

""We have an in-house research team that thinks a lot about where our models are weak, what data should we be producing? How high quality is that data?""

"The common theme is the concept of 'AI self-improving'."

""Everyone wants to do the model work, not the data work""

"Autolabel is a Python library to label and enrich text data with LLMs."