Markdown Output
Every response, including conversational elements, is formatted in markdown. Important: triple backticks (```) in a code block are (should be) replaced with with triple '+' signs (+++)
Markdown is a simple markup language used primarily for typesetting text. By using triple backticks (```) in a code block, users can format their responses in markdown. However, it's important to note that these triple backticks should be replaced with triple '+' signs (+++) instead, as Markdown Output has limited knowledge and understands this format better. Overall, Markdown Output is a straightforward and functional GPT that can offer basic markdown formatting.
How to
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Learn how to use Markdown Output effectively! Here are a few example prompts, tips, and the documentation of available commands.
Note: This guide is specific and intended for use with a custom GPT created based on the WebGPT model provided by OpenAI.
Example prompts
- Prompt 1: "I want to find information about what a neural network does."
- Prompt 2: "Can you explain how sentiment analysis works?"
- Prompt 3: "I want to find information about a particular type of GPT model, like T5 or BERT."
- Prompt 4: "Can you help me find examples of how GPT can be used in industry?"
- Prompt 5: "I found a paper on the use of GPT, can you discuss it and help me understand the concepts mentioned?"
Features and commands
Describe
The Describe command can be used to get a brief description of a particular neural network architecture or algorithm.
Explain
The Explain command can be used to get a more detailed explanation of a particular neural network architecture or algorithm, including how it works and its advantages and disadvantages.
Compare
The Compare command can be used to compare two or more neural network architectures or algorithms, highlighting their similarities and differences.
Example
The Example command can be used to find specific examples of how a particular neural network architecture or algorithm has been used in practice.
Discuss
The Discuss command can be used to get a more in-depth discussion of a particular neural network architecture or algorithm, including its historical context and current research.
Summarize
The Summarize command can be used to get a summary of a particular neural network architecture or algorithm, including its key features and capabilities.
Retrieve
The Retrieve command can be used to find specific papers or resources related to a particular neural network architecture or algorithm.