Best of ChatGPTMarch 2024

  1. 1
    Article
    Avatar of watercoolerWatercooler·2y

    Devin Is Like Jarvis, it still needs Tony Stark

    Devin AI is compared to Jarvis and it is believed that people trust humans more than AI for their products/websites.

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

    Meet Jan: An Open-Source ChatGPT Alternative that Runs Completely Offline on Computer

    Jan is an open-source ChatGPT alternative that runs completely offline on a computer. It democratizes access to AI technologies and prioritizes user ownership, privacy, and ethical design. Jan aims to enable humans and AI to work together harmoniously in the future.

  3. 3
    Article
    Avatar of pandProAndroidDev·2y

    Automate Pull Request reviews using ChatGPT and GitHub Actions

    Learn how to automate Pull Request reviews using ChatGPT and GitHub Actions. Discover how ChatGPT can spot mistakes in code and provide helpful comments. Find out the benefits and costs of automating Pull Request reviews.

  4. 4
    Article
    Avatar of 80lv80 LEVEL·2y

    ChatGPT Creator OpenAI Under Fire Following an Interview About Sora

    OpenAI's ChatGPT creator faces controversy over text-to-video AI model called Sora. Questions arise about the data used for training and accusations of dishonesty.

  5. 5
    Article
    Avatar of medium_jsMedium·2y

    Reduce Your OpenAI API Costs by 70%

    Learn how to reduce your OpenAI API costs by 70% using prompt engineering. Understand the pricing for the gpt-3.5-turbo-0125 language model. Discover how to perform clustering using OpenAI language models API.

  6. 6
    Article
    Avatar of ieeespectrumIEEE Spectrum·2y

    AI Prompt Engineering Is Dead

    Prompt engineering, the process of finding clever ways to phrase queries to large-language models (LLMs) or AI generators, may become obsolete as research suggests that models can optimize prompts themselves. Autotuned prompts have been successful in improving LLM performance on tasks like math questions and image generation. However, prompt engineering jobs will still be needed in the industry, albeit under different job titles. Adapting generative AI for industry requirements involves complex tasks that go beyond prompt engineering.