Sampling

is the a part of a series of posts on the subject of analyzing and optimizing PyTorch models. Throughout the series, we have now advocated for using the PyTorch Profiler in AI model development and demonstrated the...

Bank card fraud detection is a plague that every one financial institutions are in danger with. Normally fraud detection could be very difficult because fraudsters are coming up with recent and revolutionary ways of...

Imagine you’re tasked with sending a team of football players onto a...

A deep dive into stochastic decoding with temperature, top_p, top_k, and min_p10 min read·11 hours agoIf you ask a Large Language Model (LLM) a matter, the model outputs a probability for each possible token...

Machine Learning | Natural Language Processing | Data ScienceExploring the drop-in strategy that’s speeding up language models by 3xFirst we’ll discuss a serious problem that’s slowing down modern language models, then we’ll construct an...

In today’s recreational coding exercise, we learn a more advanced and robust Monte Carlo approach for model parameter fitting, which also allows us to calculate the Bayesian evidence of a model and perform model...

In today’s recreational coding exercise, we learn a more advanced and robust Monte Carlo approach for model parameter fitting, which also allows us to calculate the Bayesian evidence of a model and perform model...

The tokenizer, Byte-Pair Encoding on this instance, translates each token within the input text right into a corresponding token ID. Then, GPT-2 uses these token IDs as input and tries to predict the subsequent...