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FlaxAlbertLayer: A Fast and Accurate Transformer for NLP
Now let me break it down in simpler terms: imagine you have a bunch of text data, like tweets or news articles, that you…
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FlaxAlbert Self-Attention Layer
It does this by paying extra attention to certain parts of the input (like words that are repeated or have similar sounds) and ignoring…
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Flax’s Implementation of Albert for PreTraining
First off, what “pretraining” means. Pretraining is a technique used to train machine learning models on large amounts of data before fine-tuning them on…
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Better Language Models and Their Implications
So, how does it work? Well, let me give you an example. Let’s say you want to write a story but you’re not sure…
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Medusa: A Streaming Generation Method for LLMs
So instead of waiting for the whole piece of content to be generated before seeing anything, Medusa lets us see bits and pieces as…
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Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
So basically, this framework is all about making your Large Language Model (LLM) inference faster by using multiple decoding heads to process the input…
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Training Medusa on ShareGPT Dataset
This is a fancy way of saying we’re teaching her to read and understand text, just like how you learned in school (but without…
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Training Medusa with Axolotl Library
First off, the Axolotl Library. It’s a fancy tool for training neural networks in Python. Basically, it lets us feed Medusa all sorts of…
