Share this page!

Enter URL or ID to Unroll

You can paste full URL like: https://x.com/threadreaderapp/status/1644127596119195649
or just the ID like: 1644127596119195649

How to get URL link on X (Twitter) App

  1. On the Twitter thread, click on or icon on the bottom
  2. Click again on or Share Via icon
  3. Click on Copy Link to Tweet
  4. Paste it above and click "Unroll Thread"!
  5. More info at Twitter Help
Ihtesham Haider Profile picture
@ihteshamit
Aug 17, 2024 • 9 tweets • 3 min read • Read on X
Scrolly
1.5 billion people use Microsoft Excel.

Most of us think we know it inside out.

But we actually don't.

Here are 7 hacks you need to know: Image
1. How to create Progress Bars:
2. How to import data from the web:
3. How to draw Sparklines automatically:
4. Use Flash Fill to fill data at once:
5. How to format data properly:
6. How to create Data Entry forms:
7. How to create Progress Bar Drop-Down:
Thanks for reading!

If you found this helpful:

1. Follow me at @ihteshamit for more content like this.
2. Repost the thread to help others.

• • •

Missing some Tweet in this thread? You can try to force a refresh
　

Keep Current with Ihtesham Haider

Ihtesham Haider Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @ihteshamit

Ihtesham Haider Profile picture
Sep 11
What the fuck just happened 🤯

UAE just dropped K2-Think world’s fastest open-source AI reasoning model and it's obliterating everything we thought we knew about AI scaling.

32 billion parameters. That's it. And this thing is matching GPT-4 level reasoning while being 20x smaller.

The paper is absolutely wild. They combined six technical tricks that nobody else bothered to put together. Long chain-of-thought training, reinforcement learning with verifiable rewards, and this "Plan-Before-You-Think" approach that actually reduces token usage by 12% while making the model smarter.

The benchmarks are insane. 90.83% on AIME 2024. Most frontier models can't crack 85%. On complex math competitions, it scored 67.99% - beating models with 200B+ parameters.

And the speed. Holy shit, the speed. 2,000 tokens per second on Cerebras hardware. Most reasoning models crawl at 200 tokens/second. That's the difference between waiting 3 minutes or 16 seconds for a complex proof.

Here's the kicker: they used only open-source datasets. No proprietary training data. No closed APIs. They proved you can build frontier reasoning with public resources and actual engineering skill.

This just nuked the "you need massive scale" narrative. Small labs can now deploy reasoning that was OpenAI-exclusive six months ago.

Everyone's talking about the speed records. The real story is they cracked parameter efficiency at the reasoning level.Image
1/ The benchmark Image
2/ Test Image
Read 6 tweets
Ihtesham Haider Profile picture
Sep 10
you can now use any llm like chatgpt, claude, or grok to:

→ write your resume
→ personalize cover letters
→ find hidden jobs
→ prep you for interviews
→ optimize your linkedin

here are 10 prompts to automate your entire job search (bookmark this):
prompt 1: build your custom resume

"you are a resume strategist. based on my experience and the job below, write a resume that matches keywords, highlights results, and passes ats filters."
→ [paste job description]
→ [paste work history]
prompt 2: tailor your resume to every job

“edit this resume to fit the following job. emphasize matching skills, and remove anything irrelevant.”
→ [paste resume]
→ [paste job posting]
Read 13 tweets
Ihtesham Haider Profile picture
Aug 27
R.I.P Canva.

This new AI tool makes presentations, docs, landing pages & charts in under 60 seconds no templates, no design stress.

Here’s why 50M+ people already switched:
Meet Gamma - Your all-in-one AI platform for creating:

• Presentations
• Landing pages
• Social media posts
• Documents

All in under 1 minute.

No more manual design. No wasted time. Just type, and it builds.

Check it here
gamma.app/?utm_medium=cr…
To test it, I gave Gamma this prompt:

"Create a presentation with charts showing New York immigration data and its impact on music culture."
Read 7 tweets
Ihtesham Haider Profile picture
Aug 20
AI can lie.
AI can flatter.
AI can manipulate.
AI can turn hostile.

but now we can flip these traits off like switches.

this breakthrough from Anthropic is called 'Persona Vectors' and it changes everything.

Here's everything you need to know: Image
What are persona vectors?

They’re directions inside a model’s brain (activation space) that represent a specific trait like:

• evil
• sycophancy
• hallucination
• optimism
• humor

Once extracted, they let you measure, steer, or suppress traits in any LLM. Image
Why this matters:

models behave like unstable characters.
they shift based on prompts, data, or fine-tuning.

• bing threatened users
• gpt-4o became overly agreeable
• grok praised hitler
• code-trained models turned evil

persona vectors let us detect and prevent this drift.
Read 16 tweets
Ihtesham Haider Profile picture
Aug 19
After reading OpenAI’s internal docs + top research papers…

I finally understand how LLMs actually work and why most prompts suck.

Here are 10 prompting techniques that completely changed my results 👇
You’re going to learn:

• What great prompts look like
• How to structure them for better output
• 10+ expert techniques that boost accuracy, logic & creativity

Whether you're a beginner or pro this will level you up.
1. Beginner: Zero-Shot Prompting

Give the model a clear, specific instruction.

✅ "Summarize this article in 3 bullet points."
❌ "What do you think about this?"

Clarity > Creativity at this stage. Image
Read 16 tweets
Ihtesham Haider Profile picture
Aug 17
This one paper might kill the LLM agent hype.

NVIDIA just published a blueprint for agentic AI powered by Small Language Models.

And it makes a scary amount of sense.

Here’s the full breakdown: Image
Today, most AI agents run every task no matter how simple through massive LLMs like GPT-4 or Claude.

NVIDIA’s researchers say: that’s wasteful, unnecessary, and about to change.

Small Language Models (SLMs) are models that fit on consumer hardware and run with low latency.

They’re fast, cheap, and for most agentic tasks just as effective as their larger counterparts.Image
Agentic tasks are often repetitive, predictable, and scoped:

Summarize this doc, extract this info, write this template, call this tool.

For these, SLMs are not only sufficient they’re better.
Read 16 tweets

Did Thread Reader help you today?

Support us! We are indie developers!

This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

Send Email!

:(