That's a wrap! If you are interested in any of these below topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.
MACHINE LEARNING
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LazyClassifier for Classification Problems Usage Guide
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Similarly here is using LazyClassifier for Classification Problems. Check this out:
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LazyRegressor: Automated Model Selection and Evaluation for ML
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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 Multiple ML Models Instantly
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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.
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Parameter-Efficient Fine-Tuning Methods for Large Language Models
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Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey PEFT algorithms are useful for dealing with LLMs with high parameter counts, as even fine-tuning these models from scratch can be computationally expensive and resource-intensive. https://
arxiv.org/abs/2403.14608 -
Bitsphi Uses Deep Learning to Identify ADHD From Brain Signals
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Startup Bitsphi uses #DeepLearning to process brain signals with an algorithm that can identify ADHD!
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Advanced AI Systems Struggle with Basic Instruction Following
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It's just so weird and unintuitive having super-advanced computers that can't reliably do the things that we tell them to do
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Sometimes Avoiding Auto-Differentiable Methods in Development
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true-sometimes I try not to use auto-differentiable methods 🙂
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Compound AI Systems Outperform Single Models Approach
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Compound AI systems bring models, feedback, external knowledge together; going to be much better than just single models/ single shot approaches!
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Snorkel Flow Latest Release Spotlight by Datanami
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Thank you to datanami's Ali Azhar for the great spotlight on the latest release of Snorkel Flow! Get the full story: https://
buff.ly/49QBsQR