Let's be clear - AI isn't going anywhere. ✅ 

AI won't take your job - but somebody using AI will. ⬇️

That's why I post daily AI content, aimed at helping you understand and stay on top of AI.

But a post a day isn't enough to stay ahead of the curve.

That's where mine and Adam Bidd’s newsletter comes in: 

➡️ www.mindstream.news/subscribe ⬅️

📩 Mindstream is a concise, 5-minute daily update delivered straight to your inbox. No fluff, no filler. Just the latest, greatest and most relevant on AI. And don't worry - it's fun too!

So follow me, subscribe to Mindstream and sit back and enjoy getting everything you need on AI directly to you!

Matt Vill

HubSpot

Managing Editor, Mindstream

Mindstream

Co-Founder

Your AI Guru | Staying on Top of AI 🤖

I'm the Managing Editor of Mindstream, an AI-focused newsletter going to over 200,000 readers every single day.

In June 2023, me and my best friend Adam Biddlecombe launched Mindstream to 5 readers.

Our goals?

- Make AI accessible to everyone
- Keep our audience informed and entertained
- Create the best AI newsletter
- Grow, Grow, Grow

We grew to 150,000 readers in one year.

In October 2024, we were acquired by HubSpot!

Now, Mindstream has the rocket fuel it needs to become something truly special.

Subscribe to Mindstream and join us on our journey to create the world's greatest newsletter!

I'm sad to see people don't know how to prompt correctly on ChatGPT. 

Bad prompts lead to bad results from AI. 

Here's how to prompt ChatGPT the right way:

Prompt frameworks:
✅ TREF
 What’s the Task, what are the Requirements, what do you Expect, and in what Format do you want the output?

✅ SCET
Describe the Situation, the Complication, what you Expect, and the final Task. 

✅ PECRA
Explain the Purpose, your Expectation, give some Context, make a Request, and suggest the Action needed.

✅ GRADE
Tell the Goal, make a Request, specify the Action, add some Details, and give Examples.

✅ ROSES
Mention the Role, the Objective, give a Scenario, share the Expected Solution, and list the Steps. 

And more covered in the infographic below. 

Have you tried any of these ChatGPT prompting techniques? 
Comment below 👇 

Learn AI for free 👉 https://lnkd.in/dQdb94E8 

♻️ Share this post to help your network get the best results from ChatGPT

Matt Village

I'm sad to see people don't know how to prompt correctly on ChatGPT. 

Bad prompts lead to bad results from AI. 

Here's how to prompt ChatGPT the right way:

Prompt frameworks:
✅ TREF
 What’s the Task, what are the Requirements, what do you Expect, and in what Format do you want the output?

✅ SCET
Describe the Situation, the Complication, what you Expect, and the final Task. 

✅ PECRA
Explain the Purpose, your Expectation, give some Context, make a Request, and suggest the Action needed.

✅ GRADE
Tell the Goal, make a Request, specify the Action, add some Details, and give Examples.

✅ ROSES
Mention the Role, the Objective, give a Scenario, share the Expected Solution, and list the Steps.

ChatGPT doesn't work well for you. 
(Because you don't know how to prompt)

Creating prompts is an art that can really improve the quality of your AI results.

Here's a quick guide to get you started:

Zero-shot Prompting:
↳Perfect for straightforward tasks without examples. Just ask and get an answer.

Few-shot Prompting:
↳Provide examples to guide responses, ideal for complex tasks.

Elements of a Prompt:
↳ Instruction: Clearly state what you want the AI to do.
↳ Context: Add relevant information for better responses.
↳ Input files: Add files for AI to get better background context.
↳ Output Indicator: Specify the desired output format.

General Tips:
↳ Start Simple: Add complexity gradually.
↳ Clear Instructions: Be specific with tasks.
↳ Specificity: Detailed prompts yield better results.
↳ Avoid Imprecisions: Use clear and direct language.

Advanced Techniques:
↳ Chain-of-Thought (CoT) Prompting: Guide through reasoning steps.
↳ Self-Consistency: Choose the most consistent response.
↳ Prompt Chaining: Break down complex tasks.

Best Practices:
↳ Iterate and Refine: Continuously improve prompts.
↳ Clear Language: Avoid ambiguity.
↳ Relevant Context: Provide background info.
↳ Experiment with Formatting: Find what works best.
↳ Model's Limitations: Understand what AI can and cannot do.

Advanced Considerations:
↳ Balance prompt length and conciseness.
↳ Specify tone and style if needed.
↳ Be mindful of ethical considerations.
↳ Keep track of different prompt frameworks used.

Get the best outputs from AI with these techniques.

Learn AI for free 👉 https://lnkd.in/dQdb94E8 
 
♻️ Repost this to help your network get the best results from AI models.

ChatGPT doesn't work well for you. 
(Because you don't know how to prompt)

Creating prompts is an art that can really improve the quality of your AI results.

Here's a quick guide to get you started:

Zero-shot Prompting:
↳Perfect for straightforward tasks without examples. Just ask and get an answer.

Few-shot Prompting:
↳Provide examples to guide responses, ideal for complex tasks.

Elements of a Prompt:
↳ Instruction: Clearly state what you want the AI to do.
↳ Context: Add relevant information for better responses.
↳ Input files: Add files for AI to get better background context.
↳ Output Indicator: Specify the desired output format.

General Tips:
↳ Start Simple: Add complexity gradually.
↳ Clear Instructions: Be specific with tasks.
↳ Specificity: Detailed prompts yield better results.
↳ Avoid Imprecisions: Use clear and direct language.

Advanced Techniques:
↳ Chain-of-Thought (CoT) Prompting: Guide through reasoning steps.

Most people don't understand basic AI terms. 

But knowing them is a must in an AI-driven world. 

Here are basic AI concepts explained in the easiest way possible:

✅ LLM (Large Language Model): An AI model trained on large text data to generate human-like responses. 
✅ RAG (Retrieval Augmented Generation): Combining data retrieval with AI generation for accurate responses. 
✅ Generative AI: AI models that create new content from learned data. 
✅ Prompt: A user instruction that guides AI to produce specific output.
✅ AI Agents: Autonomous systems performing tasks with minimal human input. 

Which AI term is new for you? 
Let me know in the comments 

Learn AI for free 👉 https://lnkd.in/dQdb94E8  

♻️ Repost this post to help your network master basic AI concepts

Most people don't understand basic AI terms. 

But knowing them is a must in an AI-driven world. 

Here are basic AI concepts explained in the easiest way possible:

✅ LLM (Large Language Model): An AI model trained on large text data to generate human-like responses. 
✅ RAG (Retrieval Augmented Generation): Combining data retrieval with AI generation for accurate responses. 
✅ Generative AI: AI models that create new content from learned data. 
✅ Prompt: A user instruction that guides AI to produce specific output.
✅ AI Agents: Autonomous systems performing tasks with minimal human input.

Taplio

Matt Village's Linkedin Analytics

's Best Posts (last 30 days)

Want to drive more opportunities from LinkedIn?

Taplio

.css-1jgreyo{background-image:linear-gradient(284deg, rgba(39,43,72,1) 0%, rgba(33,47,183,1) 100%);color:transparent;-webkit-background-clip:text;background-clip:text;}Matt Village's Linkedin Analytics

's Best Posts .css-qqfgvy{font-size:var(--chakra-fontSizes-md);}(last 30 days)

Want to drive more opportunities from LinkedIn?

Matt Village's Linkedin Analytics

's Best Posts (last 30 days)