Vince Lam

Vince Lam

Data Science & AI Engineering

Hello and Welcome! đź‘‹

less than 1 minute read

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Thanks for stumbling upon my website. I’ve decided to finally share my thoughts and learnings online to hopefully add value to any readers out there. This space will primarily focus on data science, machine learning, AI, and my experiences living abroad in Singapore.

So if that interests you then great! I’m excited to share my journey with you here and provide insights, while keeping things simple and concise. Feedback and questions are always welcome!

Cheers, Vince

What Are Embeddings and Why They’re Incredibly Useful

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If you’ve heard of the term “embeddings” before but don’t quite understand it, this post is for you. I’ll provide an intuitive explanation of embeddings and their significance.

Traditional Natural Language Processing (NLP) Tasks: Understanding What Large Language Models (LLMs) Can Do For You

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Since Transformers were introduced in 2017, Natural Language Processing (NLP) capabilities have skyrocketed. Knowing traditional NLP tasks is useful to understand the capabilities of (Large) Language Models. Although LLMs may outperform in many areas, smaller fine-tuned models will always have a place due to their faster latency and lower costs.