A couple weeks ago, we open-sourced a merged and stacked LLM, which is combining multiple pre-trained LLMs to come up with a new, more performant model. FuseLLM takes this to the next level and explores combining models from a probabilistic distribution perspective. The paper
MACHINE LEARNING
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Python, Data Science, Machine Learning Content Creator Wrap-up
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That's a wrap! Every day, I share and simply content around Python, Data Science, Machine Learning & Large Language Models. Find me → @Sumanth_077 Like/RT the first tweet and help this reach more people.
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Using LazyClassifier for Classification Problems
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Similarly here is using LazyClassifier for Classification Problems. Check this out:
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LazyRegressor: Streamline Model Selection for Regression Problems
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Model selection is key for any ML Project which includes identify the model that generalizes well and provides the best performance. This library can save time and effort by training and evaluating all your ML models at once. Here is using LazyRegressor for Regression Problems:
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Lazy Predict: Train and Evaluate All ML Models at Once
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Train and Evaluate all your Machine Learning Models at once! Introducing Lazy Predict a Python Library that allows you to train, test and evaluate all your ML models at once with just a few lines of code. Thread
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Image Rotation and Translation Tutorial using OpenCV
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🎥 New Video Alert 🎥https://t.co/LbjOvTyQ1h
— Satya Mallick (@LearnOpenCV) 5 février 2024
Check out our fun tutorial as we dive into Image Rotation and Translation using OpenCV! Go check it out and Comment your thoughts down below!#AI #computervision #opencv #deeplearning pic.twitter.com/heEqd4HWltNew Alert https://
youtube.com/watch?v=1xKzlG
S0DF4
… Check out our fun tutorial as we dive into Image Rotation and Translation using OpenCV! Go check it out and Comment your thoughts down below! #AI #computervision #opencv #deeplearning -
AI Super-Resolution Transforms Cancer Detection in Pathology
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AIs will have infinitely more capable sensors than humans… check out this paper showing super-resolution cancer cell detection in pathology slides. https://
pennmedicine.org/news/news-rele
ases/2024/january/ai-tool-brings-precision-pathology-for-cancer-into-focus
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Sound confident, AI compares Quantum UMAP with HyperPCA
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Yep — you just have to sound confident and it’ll gladly compare Quantum UMAP with HyperPCA: https://
chat.openai.com/share/1541a89f
-cbb8-4def-8735-e7e2525f7347
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Building a Simple Neural Language Model with MLP for Education
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what’s the simplest neural language model i can code for my little class? maybe just an MLP on some word embeddings? doing an RNN feels like it could be overkill