Kelvin LuinTowards AIReally? AI Revolution is Losing Steam?Concerns of sustanability of current AI development and prediction of the future AIJun 101Jun 101
Kelvin LuinTowards AISora vs. Mulholland DriveAnalysis of Sora videos vs. Mulholland Drive, the human directed movie, to see how realistic the artificial generic intelligence is.Feb 28Feb 28
Kelvin LuinTowards AIFull-Stack Data Scientist?Research of the emerging full-stack data scientists, data science engineering management, and suggestions of career development.Feb 1013Feb 1013
Kelvin LuinTowards AIPhi-2, the New Year Gift for Language Model LoversAn introduction to Phi-2, a compact language model that is similar to Gemini Nano. The limits of LLM, and how to fix in engineering.Jan 213Jan 213
Kelvin LuinTowards AIRegression, Personalisation, and the Kaggle SyndromeHow to do personalised prediction with XGBoost, target_encoding, recommendation, FastAI, and Kaggle dataset. It emphasises business acumen.Nov 8, 20234Nov 8, 20234
Kelvin LuinTowards AIPractical Considerations in RAG Application DesignWe discuss the practical issues when applying RAG in production, what to expect, and ways to improve RAG performance.Oct 16, 20234Oct 16, 20234
Kelvin LuinTowards AIPrompt Robustness: How to Measure and How to EnhanceDiscussion of LLM prompt robustness, measurement, enhancement, and the usage of PromptBench.Oct 4, 2023Oct 4, 2023
Kelvin LuinTowards AIChoose Your Weapon: Survival Strategies for Depressed AI ConsultantsThis is a discussion of how the AI practitioners can cope with the rapidly advancing AI world and how to establish capability.Sep 22, 20232Sep 22, 20232
Kelvin LuWhat We Need to Know Before Adopting a Vector DatabaseTo continue with our journey toward applicable Generative AI, I would like to discuss some of the challenges of applying vector databases…Aug 15, 20234Aug 15, 20234