Best of Machine LearningOctober 2023

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    Article
    Avatar of communityCommunity Picks·3y

    🧠 An AI / neural network...in vanilla JS! 😱 With no libraries! 🤯

    Learn how to build a neural network in vanilla JavaScript without any libraries. The article covers the basics of neural networks, including the concept of neurons, back propagation, and the use of bias and weightings. It provides step-by-step code examples and demos of simple and more complex neural networks.

  2. 2
    Article
    Avatar of ghblogGitHub Blog·2y

    The architecture of today’s LLM applications

    Learn about the architecture of today's LLM applications, including the steps to build an LLM app, choosing the right LLM, customizing the LLM, setting up the app's architecture, and conducting online evaluations. Discover real-world impact examples of LLM apps in use.

  3. 3
    Article
    Avatar of freecodecampfreeCodeCamp·2y

    How to Structure JSON Responses in ChatGPT with Function Calling

    Learn how to structure JSON responses in ChatGPT with function calling. Prompt engineering can help ensure consistent JSON format. Function calling allows better control over the data returned.

  4. 4
    Article
    Avatar of mlnewsMachine Learning News·2y

    Mozilla Brings a Fake Review Checker AI Tool to Firefox

    Mozilla's Firefox integrates a review checker called Fakespot, which uses AI to detect fraudulent online reviews and provide users with a reliable means of evaluating products. Over 80% of shoppers have encountered fraudulent feedback online, making Fakespot a powerful tool in combating the proliferation of fake reviews.

  5. 5
    Article
    Avatar of freecodecampfreeCodeCamp·2y

    Machine Learning Fundamentals Handbook – Key Concepts, Algorithms, and Python Code Examples

    This handbook provides an overview of machine learning fundamentals, key concepts, popular algorithms like XGBoost and AdaBoost, and techniques for feature selection.

  6. 6
    Article
    Avatar of kdnuggetsKDnuggets·2y

    5 Free Books to Master Data Science

    A list of five free books to master data science, covering topics such as Python, statistics, linear algebra, machine learning, and deep learning.

  7. 7
    Article
    Avatar of mlnewsMachine Learning News·3y

    Microsoft Introduces Copilot: Your Everyday AI Companion Seamlessly Integrated Across Windows 11, Microsoft 365, Edge, and Bing

    Microsoft introduces Copilot, an AI assistant seamlessly integrated across Windows 11, Microsoft 365, Edge, and Bing. Copilot incorporates contextual information and intelligence to provide support without compromising privacy or security. It is available as a free update to Windows 11, with release previews for Bing, Edge, and Microsoft 365. Microsoft has also showcased innovative experiences and gadgets to enhance productivity and meet individual and organizational requirements.

  8. 8
    Article
    Avatar of kdnuggetsKDnuggets·3y

    Rust Burn Library for Deep Learning

    Rust Burn is a new deep learning framework built entirely in Rust. It aims to balance flexibility, performance, and ease of use for researchers, ML engineers, and developers. The framework offers features such as a flexible computational graph, thread-safe data structures, intuitive abstractions, and support for both CPU and GPU implementations. Rust Burn can be installed by setting up Rust and using the Cargo package manager. Example projects and pre-trained models are available for exploration and fine-tuning.

  9. 9
    Article
    Avatar of codeiumcodeium·3y

    Codeium · Free AI Code Completion & Chat

    Codeium offers a free tier for individuals while making money through its enterprise offering. The team has experience in machine learning infrastructure, and they prioritize security and privacy. Codeium is committed to maintaining an industry-leading free tier and improving the user experience.

  10. 10
    Article
    Avatar of mlnewsMachine Learning News·3y

    Docker Unveils ‘Docker AI’: A Game-Changer for Developer Productivity with Context-Aware Automation

    Docker has introduced Docker AI, an AI-powered tool that offers context-specific, automated guidance to streamline development processes. It aims to enhance developer productivity and efficiency by providing targeted advice across the entire application stack. Docker AI focuses on elements like databases, language runtimes, and frontends, and taps into the collective knowledge of the Docker community.

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    Article
    Avatar of freecodecampfreeCodeCamp·3y

    The Ethics of AI and ML

    The rapid ascent of AI and ML raises profound ethical questions. This course explores the ethical dimensions of AI, including personhood, biases, and societal impact.

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    Article
    Avatar of hackernoonHacker Noon·3y

    Prompt Engineering: Understanding the Potential of Large Language Models

    Understand the potential of Large Language Models and their applications.