Better Output From Your LLM With This Prompt Grading Framework: Growth Llama Podcast Ep. 12
In this episode we demo an approach to leveraging grading prompts by using OpenAI’s API and GPT for Sheets. Testing consistency and the variability of responses when using prompts is crucial. We show an example of scraping articles and summarizing them using these extensions with ChatGPT. The example demonstrates testing prompts to generate emails that address pain points and how to grade the quality of the generated emails. The benefits of using GPT for Sheets, considerations for API usage and costs, and the different GPT models and token limits are also discussed.
Key Takeaways
Testing prompts methodically is crucial for ensuring consistency and quality in the generated responses.
Using GPT for Sheets allows for easy interaction with the OpenAI API and enables quick testing of prompts.
Testing multiple variations of prompts and grading the output helps identify the most effective prompts.
Considerations for API usage and costs should be taken into account when scaling up the testing process.
Ongoing optimizations and changes to the GPT models should be monitored to ensure consistent results.
Timecodes
01:48 Testing Prompts Methodically
03:06 Importance of Testing Consistency
04:28 Tools for Testing Prompts
06:51 Example: Scraping Articles and Summarizing
09:18 Testing Pain Points and Email Prompts
11:15 Grading Email Prompts
12:44 Testing Multiple Variations of Prompts
13:37 Benefits of Using GPT for Sheets
20:03 Creating Custom Instructions
22:28 Testing Multiple Prompts and Grading
25:46 Considerations for API Usage and Costs
28:31 Different GPT Models and Token Limits
31:16 Ongoing Optimizations and Changes
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Better Output From Your LLM With This Prompt Grading Framework: Growth Llama Podcast Ep. 12
Better Output From Your LLM With This Prompt Grading Framework: Growth Llama Podcast Ep. 12
In this episode we demo an approach to leveraging grading prompts by using OpenAI’s API and GPT for Sheets. Testing consistency and the variability of responses when using prompts is crucial. We show an example of scraping articles and summarizing them using these extensions with ChatGPT. The example demonstrates testing prompts to generate emails that address pain points and how to grade the quality of the generated emails. The benefits of using GPT for Sheets, considerations for API usage and costs, and the different GPT models and token limits are also discussed.
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