Based on our record, NumPy should be more popular than Claude AI. It has been mentiond 112 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The https://claude.ai/ UI can now build and then render on-demand web apps - here's what Simon Willison got when he prompted "Build me a web app that teaches me about mandelbrot fractals, with interactive widgets": https://fedi.simonwillison.net/@simon/112650324117263516 The 'artifacts' system prompt in the linked Twitter thread is what it uses to do that. Crazy stuff! - Source: Hacker News / 14 days ago
How people get access to the premium models is typically to sign up[1] for an account and pay a subscription. GPT-4o is significantly different from original GPT-4 which is again very significantly different from GPT-3.5. This is all moving fast. So if you don't want to pay for a subscription I think you can get some free use of anthropic's most capable model (Opus) - I don't know the status of what you can get... - Source: Hacker News / 18 days ago
Claude AI: Claude AI stands out for its innovative approach to conversational AI, focusing on empathy and emotional intelligence. By recognizing and responding to human emotions, Claude AI fosters genuine connections, making interactions more engaging and effective. - Source: dev.to / about 2 months ago
The landing page was built using HTML/CSS and some Javascript. How have I been learning this? A mix of AI (Claude, ChatGPT) and learning how to create a site by going through the foundational section of The Odin Project. I will also continue to go through this course and the React portion. - Source: dev.to / 2 months ago
Ah seems like Google finally allowed EU countries, the last time I looked (few weeks ago) they still didn't allow it. My point still stands for Meta and Claude, as I'm talking about the hosted products and APIs. e.g. https://meta.ai and https://claude.ai. - Source: Hacker News / 2 months ago
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 22 days ago
NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 22 days ago
NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 28 days ago
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 30 days ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months ago
ChatGPT - ChatGPT is a powerful, open-source language model.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
HuggingChat - Open source alternative to ChatGPT. Making the best open source AI chat models available to everyone.
OpenCV - OpenCV is the world's biggest computer vision library
Bard AI - Bard is your creative and helpful collaborator to supercharge your imagination, boost productivity, and bring ideas to life.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.