workgpt

Maintainer: 0xsmw

Total Score

1

Last updated 6/21/2024
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Model overview

workgpt is an AI model that helps with various work-related tasks. While it does not have a research paper abstract or detailed README, the maintainer's description indicates that it is designed to assist users with their work. Compared to similar models like exllama-airoboros-7b-gpt4-1.4-gptq, wizardcoder-34b-v1.0, and stable-diffusion, workgpt appears to have a more focused use case on work-related tasks.

Model inputs and outputs

workgpt takes in a variety of inputs to generate relevant outputs. These include the prompt, the number of output sequences to generate, the target temperature, the total number of tokens, and the repetition penalty.

Inputs

  • Prompt: The text prompt to send to the LLaMA language model
  • N: The number of output sequences to generate, up to 5
  • Temperature: Adjusts the randomness of the outputs, with higher values being more random
  • Total Tokens: The maximum number of tokens for the input and generation
  • Repetition Penalty: Adjusts the penalty for repeated words in the generated text

Outputs

  • Output: An array of generated text sequences based on the provided inputs

Capabilities

workgpt can assist with a wide range of work-related tasks, such as writing, research, analysis, and task planning. It can generate text that is tailored to specific prompts and requirements, making it a useful tool for professionals in various industries.

What can I use it for?

You can use workgpt to help with tasks like drafting reports, creating presentations, brainstorming ideas, and summarizing research. It could be particularly useful for [Company Name] employees, as it can save time and improve the quality of their work outputs. The model's focus on work-related tasks sets it apart from more general-purpose language models.

Things to try

One interesting aspect of workgpt is its ability to generate text that is tailored to specific prompts and requirements. You could try providing it with detailed instructions or guidelines for a specific work task, and see how it responds. Additionally, experimenting with the different input parameters, such as temperature and repetition penalty, could yield interesting variations in the generated text.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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