It could be easily ported to opensource models running locally on your machine. Would be showing that in my upcoming tutorials.
CODE
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Groq Asks Developers About Their LLM Application Projects
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Hey developers We're curious to know what kind of LLM apps you're building
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Step-by-Step Guide to Learning Python for Data Science
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How to Learn Python? [Step-by Step Guide]: Introduction Acquiring knowledge Python provides a variety of options for programmers, regardless of… https://
analyticsvidhya.com/blog/2024/05/h
ow-to-learn-python-step-by-step-guide/?utm_source=dlvr.it&utm_medium=twitter
… #DataAnalytics #DataScience #DataDriven #Infrastructure #DeepLearning #ITManager #BusinessIntelligence #IoT -
Synthetic Data and Fine-tuning for Efficient LLM Models
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Synthetic data + #finetuning = smaller, faster models that outperform costly oversized #LLMs. Check out the replay of our recent workshop with @gretel_ai to learn how to build a text-to-sql #codegen model using open-source #SyntheticData. https://
pbase.ai/45v19WO -
Learning from Success: Imitation Learning in AI Systems
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The idea might be easier to understand for something that’s more of a motor skill like archery. Imagine building a dataset of humans shooting arrows at targets and then imitating only the examples where they hit the targets.
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AutoTrain Simplifies Custom Models Integration with Latest Update
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Using custom models with AutoTrain is now even easier 🚀 pip install -U autotrain-advanced pic.twitter.com/ZgsfGDHEQt
— abhishek (@abhi1thakur) 19 juin 2024Using custom models with AutoTrain is now even easier pip install -U autotrain-advanced
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Data Science Mastery: Complete Roadmap from Fundamentals to Kaggle
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Ready to master Data Science? This study roadmap by @bigdataspecialist outlines key steps from math fundamentals to machine learning and Kaggle competitions. #DataScience #MachineLearning #AI
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Local Codestral Generates Medical Imaging Code With Keras
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Local Codestral generating #scikitlearn and Keras code to run a medical imaging prediction on the fly. I like that 🙂 https://t.co/4jaqua0weN
— Arthur Mensch (@arthurmensch) 19 juin 2024Local Codestral generating #scikitlearn and Keras code to run a medical imaging prediction on the fly. I like that 🙂
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Phidatahq Framework Praised for Amazing AI Development Capabilities
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Thank you, @phidatahq is amazing!
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Machine Learning Fundamentals: Priors, Gradients, Latent Space
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Some of mine are
– No Priors
– Vanishing Gradients
– Latent space
– MLOps community