Kaggle is very popular in Japan. I think Japanese kaggler has presence in community to some extent. On the other hand, Japan lacks its presence in AI international conference.
I know they are completely different things, but I thought there is a bit of correlation.
Summary
・Be kind.
・Explain your reasoning.
・Balance giving explicit directions with just pointing out problems and letting the developer decide.
・Encourage developers to simplify code or add code comments instead of just explaining the complexity to you.
I would like to know how much LLM is being implemented in business. I know that it is employed in most translations, but what about other tasks? I always use tfidf + xgboost in nlp projects.
🔥 New (1h56m) video lecture: "Let's build GPT: from scratch, in code, spelled out."
https://t.co/2pKsvgi3dE
We build and train a Transformer following the "Attention Is All You Need" paper in the language modeling setting and end up with the core of nanoGPT.
I have recently been solving coding interview problems on leetcode to dispel my vague fears about the carrier path. I know this is not a fundamental solution. Now, I realized I have solved 400 problems ...