🔐 Rosario de Chiara (@rosdec), a computer science PhD and innovation manager, explores how to build fully local RAG systems using small language models, enabling privacy-first AI without relying on hosted LLMs: https://t.co/jGTbXFWFZs
Opzione donna cancellata
Congedo paritario per uomini e donne respinto
Bonus assunzioni per le donne più stringente
Ridotti i fondi per i centri antiviolenza.
Buon 8 Marzo un cazzo @GiorgiaMeloni
Il più grande inganno dei promotori del "sì" è farvi credere che, con la riforma, la storia della famiglia del bosco non ci sarebbe stata.
Semplicemente, non c'entra nulla. Ma proprio nulla.
#IoVotoNo
It’s clear that an LLM capable of all human languages, possessing complete knowledge of Dante Alighieri, and expert at writing Haskell code is often unnecessary. See what you can do with a Small Language Model https://t.co/CzHwWXs2th #LLM#SLM
Last quarter I rolled out Microsoft Copilot to 4,000 employees.
$30 per seat per month.
$1.4 million annually.
I called it "digital transformation."
The board loved that phrase.
They approved it in eleven minutes.
No one asked what it would actually do.
Including me.
I told everyone it would "10x productivity."
That's not a real number.
But it sounds like one.
HR asked how we'd measure the 10x.
I said we'd "leverage analytics dashboards."
They stopped asking.
Three months later I checked the usage reports.
47 people had opened it.
12 had used it more than once.
One of them was me.
I used it to summarize an email I could have read in 30 seconds.
It took 45 seconds.
Plus the time it took to fix the hallucinations.
But I called it a "pilot success."
Success means the pilot didn't visibly fail.
The CFO asked about ROI.
I showed him a graph.
The graph went up and to the right.
It measured "AI enablement."
I made that metric up.
He nodded approvingly.
We're "AI-enabled" now.
I don't know what that means.
But it's in our investor deck.
A senior developer asked why we didn't use Claude or ChatGPT.
I said we needed "enterprise-grade security."
He asked what that meant.
I said "compliance."
He asked which compliance.
I said "all of them."
He looked skeptical.
I scheduled him for a "career development conversation."
He stopped asking questions.
Microsoft sent a case study team.
They wanted to feature us as a success story.
I told them we "saved 40,000 hours."
I calculated that number by multiplying employees by a number I made up.
They didn't verify it.
They never do.
Now we're on Microsoft's website.
"Global enterprise achieves 40,000 hours of productivity gains with Copilot."
The CEO shared it on LinkedIn.
He got 3,000 likes.
He's never used Copilot.
None of the executives have.
We have an exemption.
"Strategic focus requires minimal digital distraction."
I wrote that policy.
The licenses renew next month.
I'm requesting an expansion.
5,000 more seats.
We haven't used the first 4,000.
But this time we'll "drive adoption."
Adoption means mandatory training.
Training means a 45-minute webinar no one watches.
But completion will be tracked.
Completion is a metric.
Metrics go in dashboards.
Dashboards go in board presentations.
Board presentations get me promoted.
I'll be SVP by Q3.
I still don't know what Copilot does.
But I know what it's for.
It's for showing we're "investing in AI."
Investment means spending.
Spending means commitment.
Commitment means we're serious about the future.
The future is whatever I say it is.
As long as the graph goes up and to the right.
Everyone's talking about large language models. But what if the future of AI is actually tiny?
My article on small language models (SLMs) was featured in @LogRocket's weekly newsletter, The Replay. Check it out here
🔬 @rosdec, a computer science Ph.D and innovation manager, discusses why small language models (SLMs) may outperform giants in specific real-world AI systems: https://t.co/FeFMBs02CZ
@gregnacu Yep it WAS subpar, it just gave the direction so you had to keep moving as long as your pointer reached the intended position 😁 but the UX of using a mouse with a graphical OS was a blast, at the time