What do people outside of tech call prompts? I can’t imagine everyone calling them ChatGPT prompts.
PROMPT ENGINEERING
-
Cohere Adds Semantic Search Prompt Engineering Modules
By
–
Today, we added 3 new modules to Cohere’s Large Language Model University: Semantic Search, Prompt Engineering, and The Cohere Platform. Read more at this link & in the thread:
-
Module 6: Mastering Prompt Engineering Techniques
By
–
In Module 6: Prompt Engineering you'll learn the best practical techniques for constructing an effective prompt to help you get the intended output from a generative model. This module also covers the basics on validating & evaluating outputs.
-
Second Cohort Completion: Chatbot Course Success
By
–
Me!! Just finished our second cohort: http://
chatbot-course.com -
Building Software with AI and GPT-4 Vision Learning Paths
By
–
Ok who’s building the course on how to learn to build software with AI, GPT4 vision etc Got to be better paths than 100 days of python etc now right?
-
Simple tokens to steer generative AI for better images
By
–
Simple tokens to steer the generative AI to produce better images. "above shot 30 degrees, 2.15 PM angle" Great use https://
x.com/noobra4ever/st
/noobra4ever/status/1709826158416543769
… -
Using ChatGPT to Automate Marketing Plans via Prompt Engineering
By
–
I just published a video on 'How To Turn Your ChatGPT Into a FREE Marketing Manager.' Just one simple prompt, and you get a 30-day marketing plan in seconds! Watch here: https://
youtu.be/mzl1lgbxpgg?si
=rqC2Eo5p81hGKAyD
… via @YouTube #ChatGPT账号 #ChatGPT注册 #chatgpt4 #chatgpthacks #chatgpttips -
Photography Terms for Better AI Image Generation
By
–
Here are 19 quick terms to get better AI images Borrow from photography to maximize the output in Midjourney, SDXL, Runway etc. Free cheat sheet
-
GPT-4V Problem-Solving Abilities Transform Marketing Business Applications
By
–
GPT-4V shows intriguing problem-solving abilities. I didn’t actually count to confirm its estimate, but it’s more about the approach it takes when further prompted to try. So much potential for marketing and business use cases.
-
Fine-tuning Function Calling Reduces Token Costs Improves Reliability
By
–
Fine-tuning for function calling is a big win! Great work making this happen, developers can now: – save token costs by fine-tuning the functions and then removing them at inference time
– improve the reliability of function calling output