j4

Curious about blockchain and AI tech.

[Yellow Card @yellowcard_app]

Our vibrant hangout at the Treehouse Restaurant in Accra, celebrated this milestone, connecting over 100 crypto enthusiasts.🎉

Our CEO Chris Maurice delivered a keynote during the conference on "Bridging Africa to the World; and the World to Africa" 🌐

Here's a sneak peek🎉

[AMPLE @AmpleProtocol]

🎬 Tired of Hollywood's red tape?

Cut the cord and tokenize your talent! Learn how #blockchain is reeling in a blockbuster revolution in film financing and distribution. 🎥💰

Your next 'action scene' should be reading this article! 📖👇
#Film3 #MusicNFTs
https://t.co/YhEh2kcFsO

[Ethan Mollick @emollick]

On very exciting use of AI is that it can build interactive educational tools.

Here, I asked Code Interpreter to develop an interactive website that illustrated the Central Limit Theorem in statistics. Just two prompts!
Chat: https://t.co/WpcGLJR8XP
Site: https://t.co/9S1GiJBmWp

[Abacus.AI @abacusai]

Machine Learning Roadmap:

• Introduction to Python Programming (Udacity)
• Machine Learning Crash Course (Google)
• Machine Learning (Coursera)

In that order. They are all free.

In the next few days, we'll share many more resources. Stay tuned @abacusai.

[Hasan Toor @hasantoxr]

I'm surprised how many people aren't using AI tools yet.

Don't limit yourself to ChatGPT.

Here are 7 Brand New AI tools that will transform your productivity forever:

[Barsee 🐶 @heyBarsee]

A Comprehensive List of Free Softwares Alternatives:

[Lautaro @Portuno_]

Copyright.

Copyright. Classifications, current Hollywood conflict, and how to harness new technologies to rethink how we build IP despite the slowness of the legal system and clash against oligopolies.

And afterwards, a short intro to my idea, Community Ownership (COW)

[Stephen Murray | BINGEABLE @s_bingeable]

I wonder who has been talking about this for YEARS? #Film3 is #NextWaveCinema @Film3Squad @martysnowpaw @jonnykanyon @jordanbayne
https://t.co/9LHtcCIwBe

[AMPLE @AmpleProtocol]

The entertainment industry needs a new distribution venue:

“Stop accepting the status quo,”

“Think of the long-term process of change & improvement.”

“Require back-end participation. Claw back rights”

“Grant of ownership reversion to artists.”

https://t.co/EGHlYRLQXe

[François Chollet @fchollet]

In the limit, the only two possible timelines are the machine apocalypse and the Butlerian Jihad. There is no middle ground that is stable in the long term. These are the two attractor points.

[CJ Zafir @cjzafir]

There are 6357 AI tools in the market right now.

80% of tools are built on these 5 prompt structures.

I am sharing all of them with you for FREE.

Let me explain the structure and their best use cases.

1. RTF: Role, Task, Format
2. CTF: Context, Task, Format
3. TREF: Task, Requirement, Expectation, Format
4. GRADE: Goal, Request, Action, Detail, Examples
5. PECRA: Purpose, Expectation, Context, Request, Action

1. RTF: Role, Task, Format

It's like a (prompting) recipe that tells AI what to do and how to do it.

Role: Who you are
Task: What you need to do.
Format: How you should present your answer.

Best for:
Role-playing scenarios, creative writing, and instructional tasks.

Example:
Role: You're a tour guide.
Task: Describe the Grand Canyon.
Format: Write it as a paragraph like you're talking to tourists.

2. CTF: Context, Task, Format

It's like being an actor given a scene to act out and how to perform it.

Context: The situation or background information.
Task: What you need to do.
Format: How you should present your answer.

Best for:
Situational prompts, descriptive writing, and scenario-based tasks.

Example:
Context: You're a detective in a mystery novel.
Task: Describe the crime scene.
Format: Write it as a report for the police department.

3. TREF: Task, Requirement, Expectation, Format

It's like a project assignment from your teacher.

Example:
Task: Write a poem on autumn.
Requirement: It must rhyme.
Expectation: A creative and enjoyable poem.
Format: Write it as a four-stanza poem.

Best for:
Assignments, project tasks, and specific requirements.

Use Cases:
1. Writing a research paper on a specific topic.
2. Creating a presentation on a given subject.
3. Designing a poster with specific elements.

4. GRADE: Goal, Request, Action, Detail, Examples.

It's like a roadmap to your destination.

Example:
Goal: To learn about the water cycle.
Request: Can you explain how the water cycle works?
Action: Break down the water cycle into easy steps.
Detail: Talk about evaporation, condensation, precipitation, and collection.

Best for:
Goal setting, action planning, and detailed tasks

Use Cases
1. Setting a personal fitness goal and planning actions to achieve it.
2. Planning a project with specific steps and examples.
3. Setting a reading goal and choosing books to read.

5. PECRA: Purpose, Expectation, Context, Request, Action

It's like a mission briefing.

Example:
Purpose: To inform people about the weather.
Expectation: A clear and accurate forecast.
Context: You're a weather reporter.
Request: Give the weather forecast for tomorrow.
Action: Write the forecast.

Best for:
Goal-oriented tasks, project planning, and mission briefings.

Use Cases:
1. Planning a fundraising event for a charity.
2. Writing a proposal for a new school club.
3. Creating a strategy for a marketing campaign.

Your Assignment:

Copy these prompt structure and use them for use cases in ChatGPT.

You'll notice 50x better results.

There are 4 more structures too, the "RRRR"s:

• RSCET: Role, Situation, Complication, Expectation, Task

• RASCEF: Role, Action, Steps, Context, Examples, Format

• ROSES: Role, Objective, Scenario, Expected Solution, Steps

• RDIREC: Role, Definition, Intent, Request, Example, Clarification Tone

If you like this breakdown then I can also share the detailed breakdown of these 4 structures tomorrow.

Let me know your thoughts in the comments.

Follow me @Cj_zZZz for more AI-based content.

Retweet this tweet to share this knowledge with your audience.

Sign up for 'The AI Startup' newsletter for exclusive content on AI.

Cheers.

[Ben Nash @bennash]

All the AI video generators have improved lately especially with image-to-video. Here's a thread comparing short videos made from this image.

[Aravind Srinivas @AravSrinivas]

LLaMa 2 has taken the world by storm. But not everyone wants to download the checkpoint, and talk to it on terminal. Talk to LLaMa 2 on Perplexity's LLaMa Chat: https://t.co/G1EWhiMO2e, fastest right now. This is fully hosted and powered by our in-house LLM inference infrastructure, instead of using Replicate. Please give us feedback, and join us, to come help train and deploy LLMs for search! https://t.co/h44sglfdIc

[Andrei @Riabovitchev]

Pool party, music by Rüfüs Du Sol. Runway Gen-2

[Mrboofy @Mrboofyy]

More tests with animated intros with text/logo. This time with a slow motion zoom, I really liked the "candy" aspect of the letters#warpfusion
@StableDiffusion
#midjourney #ai #stablediffusion #controlnet #animation #aiar

[Justin Trevor Winters @justintwinters]

I'm @jordanbayne homie... and I approve this message!

[Incention @incention_io]

Adim lies at the heart of storytelling — where technology intersects with creativity.

We believe that everyone has a story to tell and that they should be able to tell it.

Now, they can. Check out what we’ve been up to!

[Josh Rubin @bigkickcreative]

Interesting new article from https://t.co/BkTzCBHloX that features 'The Frost' https://t.co/hhCoVMk23g

[CDSA Newsletter @CDSAnewsletter]

The Impact of Generative AI on Hollywood and Entertainment; CoreSite Report Focuses on the State of Data Centers - https://t.co/Z5zfwnTgzN

[TobiasQueisser @tobiasqueisser]

BBC covering us with a fun short feature story, visiting our offices last year: https://t.co/P6EKi5Y2jG