This is a domain-specific generative language model pre-trained on large-scale biomedical literature. BioGPT-Large outperformed previous existing models with 81% accuracy and achieved the “human parity”. Checkout the repo: http://
github.com/microsoft/BioG
PT
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@sumanth_077
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BioGPT-Large Achieves 81% Accuracy in Biomedical Language Model
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Microsoft Releases BioGPT: Generative AI for Biomedical Applications
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Microsoft released a generative AI model which is dedicated to biomedical use cases. "BioGPT" is a language model which is trained for biomedical text generation and mining Here is the implementation of BioGPT:
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Quick AI Tools Demo Platform – Great Work Pradip
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A go-to place to get a quick demo of AI tools. Really great work Pradip
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Daily Python and Machine Learning Tutorials Newsletter Subscription
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That's it. Thanks for reading. Every day, I share tutorials around Python & Machine Learning. Follow me @Sumanth_077 If you like this content you will definitely love my newsletter as well. Subscribe here: http://
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Flair: Advanced NLP Library for State-of-the-Art Text Processing
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3. Flair Flair is an NLP library that allows you to apply state-of-the-art NLP models especially to the text. https://
github.com/flairNLP/flair -
Hugging Face Diffusers: Pre-trained Diffusion Models for Vision and Audio
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4. Hugging Face Diffusers We are noticing the recent trend with applications using Diffusion Models either it can be Stable Diffusion or Dalle E Diffusers library provide you with pre trained diffusion models across vision and audio. Check this: https://
github.com/huggingface/di
ffusers
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Cog: Open-Source Tool for Packaging ML Models in Containers
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2. Cog Cog is an open-source tool that lets you package machine learning models in a standard, production-ready container. And you can deploy that packaged model to your own infrastructure. Check this: https://
github.com/replicate/cog -
Transformers from Hugging Face: Pretrained Models for Text, Vision, Audio
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1. Transformers from Hugging Face Transformers library provides you with thousands of pretrained models to perform tasks on text, vision, and audio. This will help you with leveraging the already existing models instead of building them from scratch. https://
github.com/huggingface/tr
ansformers
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Hidden Python Libraries for Machine Learning Beyond the Basics
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Pandas, Numpy, Matplotlib, Seaborn, and Tensorflow are the standard and most commonly used python libraries in ML. But here's a list of Libraries that you might be unaware of but are really handy in working with Machine Learning Problems:
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ML Pipeline Generation with Modular Customization Options
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That's a good question. Once you generate the ML pipeline It also provides you an option to focus on each specific part and modify it which makes it really handy.