Excited to present the fourth part of my article series on deep learning optimizers. This time, we're looking into the Adaptive Gradient Algorithm (Adagrad). Check out the full article here: https://t.co/l6ZprB93dl
@gitconnected#DeepLearning#MachineLearning#AI#DataScience
@o_v_shake Hahahha. Even in banks and financial institutions where most data is tabular and you have to convey what the model is doing, people still use XGBoost and traditional ML models.
Claude 3 Opus is great at following multiple complex instructions.
To test it, @ErikSchluntz and I had it take on @karpathy's challenge to transform his 2h13m tokenizer video into a blog post, in ONE prompt, and it just... did it
Here are some details:
@EgorHowell Congratulations. I've realized that writing blogs about ML and DL is a great way to get yourself comfortable with the concepts and serves as a place where you can come back and revise stuff.