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.
@sumanth_077
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Using %%ai Magic Command in JupyterLab for Natural Language Model Chat
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Use the "%%ai" magic command to specify a model chat with the model using a natural language prompt: Check this out: https://
github.com/jupyterlab/jup
yter-ai
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7 Magic Commands to Save Time in Jupyter Notebooks
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If you are using jupyter notebooks for Python and Data Science, try these 7 magic commands that will save you a ton of time: 1. Jupyter AI: Select any model and chat with it right from the Jupyter Notebook.
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New DSPy Video Released After Long Break
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Finally a video after so long on the channel and that to on DSPy. Going to be a great watch!
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Daily Python, Machine Learning and Language Models Education
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That's a wrap. Every day, I share and simplify complex concepts around Python, Machine Learning & Language Models. Follow me → @Sumanth_077 if you haven't already to ensure you don't miss that. Like/RT the first tweet to support my work and help this reach more people
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Creating Production-Ready GPT-4 APIs with Steamship
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Not just accessing GPT-4, you can create production-ready APIs and deploy apps powered by GPT-4 with @GetSteamship I will be creating some really cool open-source side projects with this. Stay Tuned! Check out the Plugin here: http://
steamship.com/plugins/gpt-4 -
GPT-4 Multimodal Capabilities and Code Implementation Guide
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GPT-4 is Powerful as it is now multimodal and is capable of understanding both text and image inputs Here is how you can access GPT-4 model with just a few lines of code and use it:
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Praise for Topic Modeling Thread and Blog Post
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That's a well-articulated thread on Topic Modeling. BTW the blog is also excellent. Great work
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K-Means vs K-Means++: Centroid Initialization Differences
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The drawback of k means is how it initializes the centroid compared to the initialization of K means++
The difference is Perfectly explained in this thread Akshay. Great work -
Jupyter Notebooks to Production: Machine Learning Deployment Course
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Jupyter Notebooks to Production! Building machine learning models is a challenge but taking them to production is even harder and an important skill to master. Here is a great course from Santiago that helps you learn exactly that. Check this out: http://
svpino.gumroad.com/l/mlp