My free data science content beats those you'd pay for.

If you made it this far, you're probably here because you read the tech headlines every day and see AI news flooded everywhere. You then think to yourself, "am I missing the AI train?" 

You already have a lot on your plate, and these AI terms, tech and advancements aren't helping. 

You're told you need data to get ahead with AI, but nobody tells you what kind of data. 

You think about starting an AI team, but everyone's expensive, hiring is hard, and delivering value is even harder. 

You then think to purchase 1 of the 1000 off-the-shelf AI products, but which one? Evaluating them is hard. 

Everything AI seems like an uphill battle. 

I get it. 

I've helped countless business leaders navigate AI, while helping brainstorm use cases that bring companies hundreds of thousands of dollars in value. 

I've helped them understand what is and isn't possible with their data. I also have experience evaluating off-the-shelf AI tools to see if they're delivering what they promised. 

Let's have a video call and chat AI over a coffee. I'm buying.

Akmel Syed

No BS AI/ML Content | ML Engineer with a Plot Twist 🥷30M+ Views 📝

Done-for you Audience Building & Content Writing for AI/ML Founders that frees up 100% of your time, so you can focus entirely on building your company  
  
Is your work too important to ignore? 💌 https://tally.so/r/wk69VJ  (or shoot me a DM) 👉
  
It's 2025 and we're at the peak of the attention economy  
  
Where Authenticity is king, visibility is currency and people wanna buy from people

Not faceless dehumanized brands  
  
So, they told you LinkedIn was "free marketing" you slapped some posts and called it strategy  
  
You've poured hours crafting the 'perfect' post, only to watch it sink without a trace..  
  
Then it dawned on you, your technical brilliance isn't enough to draw a crowd  
  
Hell, maybe you've even tried mimicking influencers, scrambling for any traction..  
  
Your post got 500 f*cking views... from your friends...  
  
Being ignored is soul-crushing  
  
It's not your fault tough  
  
When you started your company, you didn't sign-up for a degree in an Audience Building, Copywriting and LinkedIn strategy 

And here you are, sacrificing yet another late night for your vision  

"Am I just sabotaging my efforts?"  
  
"Is my life-work meaningless?"  
  
Getting traction feels impossible  
  
You hoped hiring some marketer would save your weekends but..  
  
Tech is a code they can't crack  
  
They can only churn out the lame, soul-sucking crap we all ignore on sight  
  
With armies of founders flooding feeds, your voice dissolves into meaningless white noise  
  
But in the process, you've wasted more of your precious time explaining 101 tech concept and rewriting low-quality drafts 

Done being ignored?  
  
Let's make the world listen 
  
I can help you with:  

✒️ No BS AI/ML Content  
⭐ LinkedIn Profile Revamp
🎯 Website Copy Optimization  

I've done it before:

↳ For founders backed by YC, a16z, Sequoia, and Techstars
↳ For bootstrappers in LLMs, ML, Vector DBs, Data Analytics, and Engineering
↳ For AI and Machine Learning leaders at Google, Microsoft, Airbnb, and YouTube

If they could rise above the noise, so can you

Yeah, even if you're an introvert with a "boring" niche

Still with me?  
  
Amazing—You're amazing!  
  
Cheers,  
Paolo

My booking link: 💌 https://tally.so/r/wLW0oz (or shoot me a DM) 👉

Paolo Perrone

They told you 70B models need 80GB VRAM. They lied.

AirLLM runs Llama 70B on a 4GB GPU.

No quantization. No distillation. No pruning.

The trick: layer-wise inference. Instead of loading the entire model into VRAM, it loads one layer at a time from disk.

Your GPU only ever holds one layer. The rest lives on disk.

What you can run:

→ Llama 70B on 4GB VRAM
→ Llama 405B on 8GB VRAM
→ Qwen2.5, Mixtral, ChatGLM all supported

pip install airllm

from airllm import AutoModel

model = AutoModel.from_pretrained("garage-bAInd/Platypus2-70B-instruct")

input_tokens = model.tokenizer(input_text,
    return_tensors="pt",
    truncation=True,
    max_length=128)

output = model.generate(
    input_tokens['input_ids'].cuda(),
    max_new_tokens=20)

Standard transformers API. That's it.

Optional: 4-bit compression for 3x speed boost.

model = AutoModel.from_pretrained("...", compression='4bit')

Trade-off: slower inference than full VRAM loading. But if you don't have the VRAM, you don't have options.

Works on MacOS with Apple Silicon too.

1.9k GitHub stars. Apache 2.0.

→ github.com/lyogavin/airllm

💾 Save for when your GPU budget doesn't match your model ambitions
♻️ Repost if you've ever closed a tab because "requires 80GB VRAM"

No BS AI/ML Content | ML Engineer with a Plot Twist 🥷100M+ Views 📝

taplio

The Battle

Akmel Syed

Paolo Perrone

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taplio

The Battle

Akmel Syed

Paolo Perrone

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Paolo Perrone's LinkedIn Performance

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