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mwiti

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Machine Learning Developer Advocate @neuralmagic. Ex @layer_ai.

Tweets on machine learning and deep learning

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Tweet Mar 30, 2023
There are several NLP tasks. Here are the most common ones, with example demos🔥: --A Thread-- 🧵
by mwiti
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Tweet Mar 14, 2023
Image generation models are causing a sensation worldwide, particularly the powerful Stable Diffusion technique 🔥. With Stable Diffusion, you can generate images with your laptop, previously impossible 🤩. Here's how diffusion models work, in plain
by mwiti
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Tweet May 9, 2023
Training NLP and CV models from scratch is a waste of resources ❌ Instead, apply transfer learning using pre-trained models 🤖 Here's how transfer learning works in 6 steps 🪜 --A Thread-- 🧵
by mwiti
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Tweet Mar 29, 2023
Are you still deploying DENSE CV and NLP models? You are missing out on the advantages of SPARSE models 🔥. They offer higher throughput and lower latency without negatively affecting accuracy. Checkout out how to deploy sparse models on @huggingfa
by mwiti
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Tweet Mar 21, 2023
Are you still training ML models with default, slow data loaders? ❌ That's a lot of time and money wasted! 😟 Here's why you should use Deep Lake by @activeloopai data loader to train your models 2x faster 🔥:
by mwiti
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Tweet Mar 18, 2023
You have seen numerous computer vision applications 🏙. Most of them involve CNNs in one form or another 🔥. Here's how CNNs work in 7 steps: --A Thread-- 🧵
by mwiti
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Tweet Mar 16, 2023
How does a neural network learn? 🔥 --A Thread-- 🧵
by mwiti
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Tweet Mar 13, 2023
Everything you use today is powered by machine learning🚀. Even this tweet was recommended to you by an ML algorithm🔥. But do you know where ML came from? Here's the story of how ML came into the world 🌎. --A Thread-- 🧵
by mwiti
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Tweet Mar 11, 2023
You use CPUs and GPUs to deploy ML models every day. But have you ever considered how they work in machine learning? Here's how they differ and why you should choose a CPU over a GPU for your next deployment. --A Thread-- 🧵 twitter.com/themwiti/sta
by mwiti
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Tweet Mar 9, 2023
Are you still deploying uncompressed ML models in 2023? STOP. Apply Gradual Magnitude Pruning (GMP), the current KING in ML model pruning, to reduce the size of large models by 20X without loss of accuracy. Here's how to apply GMP in 5 steps. --A
by mwiti
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Tweet Mar 7, 2023
Training NLP and CV models from scratch is a waste of resources. Instead, apply transfer learning using pre-trained models. Here's how transfer learning works in 6 steps. --A Thread-- 🧵
by mwiti
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Tweet Mar 6, 2023
Transformers were introduced to replace the need for Recurrent Neural Networks in natural language processing. Here are THREE reasons why the transformer architecture is better than the RNN architecture. --A Thread -- 🧵
by mwiti
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