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Jun 8 7 tweets 2 min read Twitter logo Read on Twitter
AI generated QR Code Art will be the next big thing.

Heres whats possible.

1. Snowy Village Image
2. Cute girl Image
3. Flowers Image
4. Overgrown Maze Image
5. Japanese Art Image
Which ones your favorite?

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More from @AlexAIDaily

Jun 8
When it comes to marketing, ChatGPT is child's play.

Bard is faster and more relevant than ChatGPT for marketing.

Here are 5 Bard demonstrations to help you 10x your business:

1. Create a brand or product story
2. Create a content publishing plan
3. Optimize website and copywriting
Read 5 tweets
Jun 8
Celebrities misspelled by AI

1. George Clowney Image
2. John Lemon Image
3. Reese With Her Spoon Image
Read 7 tweets
Jun 7
In addition to AI, one of my other passions is public transit. My favorite youtuber is @RM_Transit

Here are AI generated Subway Maps in the style of famous artists.

1. Vincent van Gogh Image
2. Gustav Klimt Image
3. Frida Kahlo Image
Read 11 tweets
Jun 7
🚨 Runway GEN-2 Now Available on Mobile and Web!

Here are some demonstrations of what Runway GEN-2 is capable of.

1. Create a movie trailer for The Hobbit from text only
2. The Great Catspy, from text to video.
3. Nostalgic Pizza TV ad
Read 7 tweets
Jun 6
Microsoft released a guide to prompt engineering for writing code with OpenAI's Codex

This thread covers how to:
- Guide with a Task
- Guide with Examples
- Use Zero/one/few-shot learning
- Using Contextual Information and Conversational History

I summarized the guide below 👇
1. Tell It: Guide the Model with a High Level Task Description

Start your prompt with a high-level description of what you are asking Codex to do + a specific user instruction

I.e. Ask for Python code to plot data from a standard dataset AND to import any needed libraries first
2. Show It: Guide the Model with Examples

The sequence of text that you provide in the prompt influences all of the subsequent output.

The best way to tell Codex what you want is to show it examples.

If you give Codex an example, it will imitate the example. Image
Read 10 tweets
May 26
Microsoft released a new guide to prompt engineering.

I've summarized it in this thread.

Heres whats covered:

- The structure of a prompt
- Tips for composing prompts
- How to be clear and specific
- Providing sample outputs
- Providing relevant context

More below 👇 Image
1. Structure

A prompt consists of two components:
- Context
- Task / Query Image
2. Be Clear and Specific

When crafting a prompt, the less details you provide, the more assumptions the model needs to make.

Place boundaries and constraints in your prompt to guide the model to output the results you want. Image
Read 10 tweets

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