Is HP Putting LLMs in Printers Now?
AI Summary
Summary of Video “HP’s Job for Machine Learning Researcher in Printers”
Introduction: Fahad Miraza discusses HP’s recent job posting for a senior machine learning researcher focused on incorporating large language models (LLMs) into printers and scanners.
AI Integration: Highlights the evolving role of AI in everyday devices, now extending to office printers.
Job Details: Key responsibilities include on-device optimization of AI models to operate efficiently within hardware constraints, such as printers. Topics covered in the job listing:
- Quantization
- Pruning
- Efficient model representation
Impact of the Role: The researcher will work on deploying transformer and vision models, aiming to enhance the printer’s functionality and user experience.
- Mentioned frameworks/tools include: PyTorch, ONNX, TensorRT.
Real World Application: Emphasizes the practical challenge of ensuring printers perform optimally with third-party ink cartridges, making technology accessible and less frustrating for users.
Philosophical Take: Discusses the irony of teaching AI to handle human frustrations related to printer errors, highlighting the emotional resilience needed in modern hardware.
Closing Remarks: Reflects on the potential future of AI-driven printers, combining troubleshooting and insightful error messages, ultimately enhancing user interaction with this common technology.