Unlocking the Power of AI: Building an Article Summary Tool with Chat GPT and Riku

Find AI Tools
No difficulty
No complicated process
Find ai tools

Unlocking the Power of AI: Building an Article Summary Tool with Chat GPT and Riku

Table of Contents

  1. Introduction
  2. Building an AI Enthusiast Facebook group
  3. The need to build a chat GPT
  4. Importance of a good summary
  5. Accessing open AI's DaVinci model
  6. Throttling issues with chat GPT
  7. Setting the output tokens limit
  8. Formatting the instructions for chat GPT
  9. Testing chat GPT with sample articles
  10. Evaluating the generated summaries
  11. Using chat GPT for article summarization

Building an AI Enthusiast Facebook Group and the Importance of a Custom Chat GPT

Artificial Intelligence (AI) has become a prominent field of study and interest among enthusiasts. One such enthusiast, Jeremy, found himself without access to chat GPT, an AI language model. Determined to build his Own Chat GPT, he turned to Recoup, an AI playground, for support. Recoup is a platform where AI enthusiasts can test various AI technologies. In this case, Jeremy decided to use OpenAI's DaVinci model, a powerful AI system capable of generating high-quality text.

The process began with Jeremy pasting the important pieces of a good summary into Recoup. He intended to use chat GPT to generate the summaries he needed. However, he soon encountered a problem: chat GPT had become significantly slower due to the rollout of a premium version, which would require users to pay. Jeremy also noticed that his access to chat GPT was being throttled. Despite these challenges, he decided to proceed with his project using OpenAI's DaVinci model.

To ensure a good summary, Jeremy referred to the instructions provided by chat GPT. The instructions emphasized the importance of a well-rounded summary that includes key ideas, main points, and the overall tone of the text. It also advised users to use their own words and avoid copying directly from the original text. Armed with these instructions, Jeremy prepared to provide chat GPT with the necessary prompt to generate the desired summary within Recoup.

With the instructions in place, Jeremy chose a sample article on Microsoft's investment in OpenAI. He copied the article and used an online word counter to determine the number of characters. The goal was to keep the summary within a reasonable token range, usually around 300 tokens. Jeremy then pasted the article into Recoup, making some minor formatting adjustments to stay within the token limit. Once the article was ready, he instructed chat GPT to generate a summary Based on the provided text using OpenAI's DaVinci model.

As Jeremy awaited the summary, he took the opportunity to explore another article on Texas's decision to offer a master's degree in AI. Following the same procedure, he pasted the article into Recoup and instructed chat GPT to generate a summary. This time, there was an issue with the number of tokens. After some adjustments, Jeremy successfully obtained a summary for the article.

Overall, Jeremy's project to build his own chat GPT within Recoup proved to be a viable solution for generating article summaries. While facing challenges such as throttling and token limitations, he managed to leverage the power of OpenAI's DaVinci model to Create informative and concise summaries.

Highlights:

  • Jeremy builds his own chat GPT within the Recoup AI playground.
  • Microsoft's investment in OpenAI drives the demand for a custom chat GPT.
  • Importance of a good summary: key ideas, main points, and overall tone.
  • Accessing OpenAI's DaVinci model for generating high-quality text.
  • Throttling issues with chat GPT due to the rollout of a premium version.
  • Setting token limits for effective article summarization.
  • Instructions for providing Prompts to chat GPT.
  • Testing chat GPT with sample articles on Microsoft's investment and Texas's AI education.
  • Evaluating the generated summaries for accuracy and relevance.
  • The efficiency of using chat GPT in Recoup for article summarization.

FAQ

Q: Is it possible to build a custom chat GPT within Recoup?
A: Yes, users can leverage Recoup to build their own chat GPT by utilizing OpenAI's DaVinci model.

Q: What are the important components of a good summary according to chat GPT?
A: A good summary should include main points, key ideas, the overall tone of the text, and be written using one's own words, avoiding direct copying.

Q: Why was chat GPT throttled and slowed down recently?
A: Chat GPT's recent throttling and slowdown can be attributed to the rollout of a premium version, which requires users to pay for its usage.

Q: Can the token limit be adjusted for generating shorter or longer summaries?
A: Yes, the token limit can be adjusted based on the desired length of the summary. However, it is recommended to keep it within a reasonable range, such as around 300 tokens.

Q: What AI model did Jeremy use for generating the article summaries?
A: Jeremy utilized OpenAI's DaVinci model, a powerful AI system known for generating high-quality text.

Q: Are there any restrictions on using chat GPT for article summarization within Recoup?
A: Recoup allows users to generate article summaries using chat GPT without any significant restrictions, making it a useful tool for AI enthusiasts and content Creators.

Most people like

Are you spending too much time looking for ai tools?
App rating
4.9
AI Tools
100k+
Trusted Users
5000+
WHY YOU SHOULD CHOOSE TOOLIFY

TOOLIFY is the best ai tool source.

Browse More Content