ChatGPT Plugins by SamurAI Reviews

NumPy Reviews

ChatGPT Plugins by SamurAI mentions (9)

• Rabbit R1, a thing that should just be an app, is just an Android app

  Are you referring to this? https://openai.com/blog/chatgpt-plugins Rabbit's approach is one-sided (train their model to generate needed API calls, and maybe also perform Selenium-style simulated actions?) which should make it more flexible if inherently less reliable than dedicated plugins written by developers from the apps looking to be called via AI. - Source: Hacker News / about 1 month ago

• ChatGPT Code Interpreter Feature: 2023’s Detailed Guide

  To enable the plugin, simply navigate to your settings and locate the "Beta Features" section. There, you'll find the option to activate the ChatGPT code interpreter plugin and unlock its powerful capabilities. - Source: dev.to / 7 months ago

• Adapting API Strategies to Dynamic AI Trend

  The output from an AI model in response to a prompt is typically textual. To translate these "ideas" into actionable outcomes, AI services need to call APIs. These APIs can initiate actions in the real or digital world, such as making payments, booking an appointment, sending messages, or adjusting room temperatures. In essence, APIs act as the hands of an AI service, enabling it to interact with its environment.... - Source: dev.to / 8 months ago

• How to block ChatGPT from scraping your website.

  ChatGPT is an AI language model developed by OpenAI, known for its ability to generate human-like text based on input prompts. It is widely used for various applications, including chatbots, content generation, and data analysis. ChatGPT can access and parse information from websites through plugins and OpenAIs web crawler, making it essential for website owners who don't want their data trained on by AI models to... - Source: dev.to / 9 months ago

• How to build a custom GPT enabled full-stack app for real-time data

  As you can see, you get the expected output and this is quite simple to achieve since ChatGPT is context-aware now. However, the issue with this method is that the model’s context is restricted (gpt-4 maximum text length is 8,192 tokens). This strategy will quickly become problematic when input data is huge you may expect thousands of items discovered in sales and you can not provide this large amount of data as... - Source: dev.to / 9 months ago

NumPy mentions (107)

• Element-wise vs Matrix vs Dot multiplication

  In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago

• JSON in data science projects: tips & tricks

  Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago

• Introducing Flama for Robust Machine Learning APIs

  Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago

• A Comprehensive Guide to NumPy Arrays

  Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 7 months ago

• Beginning Python: Project Management With PDM

  A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 8 months ago