Here is doing Regression Task using Pycaret! – Load the dataset
– Import the regression module and initialise the setup.
– Train & Evaluate the model
– Save the Model Check this out:
MACHINE LEARNING
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Regression Task Using Pycaret: Load, Setup, Train, Evaluate, Save
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PyCaret: Low-Code ML Library for Simplified Workflows
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To simplify PyCaret is a low-code library that helps in writing the ML workflow with just a few lines. PyCaret's module supports both supervised learning (classification & regression) and unsupervised learning (clustering) All you need to do is: "pip install pycaret"
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PyCaret: Open-Source Python Library for Automated Machine Learning
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An open-source, low-code Python Library to automate the machine learning workflows Introducing PyCaret an end-to-end Machine Learning tool that does: – Data Preprocessing
– Feature Engineering
– Model training
– Hyperparameter tuning &
– Model Evaluation Thread -
BPE algorithm’s longest tokens are banners and whitespace
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It’s whatever the byte-pair encoding algorithm says which depends on the pre-train statistics. There are many shorter ones too — the top 130 longest tokens are all banners and whitespace of various lengths.
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CEO to discuss AI, ML, and security at TechTour Growth50
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Join us next week as our CEO and Co-Founder, @FabAroundEU
, participates in @TechTourHQ Growth50 Europe 2024 event in Paris, France. He will be featured on a panel discussing AI, ML, and security on February 8 at 11:15 CET.
Learn more here
https://
lnkd.in/dUf569Ey -
Dolma: A 3 Trillion Token Open-Source Training Dataset for LLMs
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A 3 Trillion (yes, trillion) token open-source training dataset for LLMs: Dolma is built from a mixture of web content, scientific papers, code, public-domain books, social media, and encyclopedic materials. Now available on Huggingface if you have a spare 5.4 Terabytes
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AI Blood Test Detects Ovarian Cancer with 93% Accuracy
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Researchers at Georgia Tech developed a new blood test for ovarian cancer using AI and metabolic data. The test achieved a remarkable 93% accuracy in detecting the disease! AI is already enabling quicker progress in the healthcare world. This will 100x soon.
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BPE token vocabulary depends on frequency in pre-train corpus
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That’s right — the token vocabulary is determined using BPE so long strings only get their own tokens when they occur often in the pre-train corpus.
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Long tokens exist because they’re common; ChatGPT knows their contents and length.
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Not that surprising — the only reason long tokens exist is because they're common. If you ask about long tokens (in ChatGPT Classic so it doesn't use code) it knows what punctuation/words they contain, can guess their approximate length, etc.