Unified AI Adoption

The best LLMs aren’t the biggest. They’re the best-trained, best-aligned, and most efficient for solving real business problems. The Smol Training Playbook breaks down how Hugging Face did just that—with a tiny team and a sharp focus. Here’s what you’ll learn: • Why training LLMs is more chaotic craft than polished science • How a team of just 2–3 can build a world-class model in 3 months • Why data curation matters more than model architecture • Secrets behind small-scale ablations that actually transfer • Why arXiv might be hurting your model more than helping • And why the debugging stories might be your best assets If you’ve ever asked, "Can we do more with less?" — this is your must-read. Link + quick definitions for “ablations” and “arXiv” in the comments. #HuggingFace #FutureOfWork #BusinessStrategy #AIinWork

AI isn’t just a tech rollout—it’s a behavior shift. Different roles, different workflows, and different levels of readiness require different levels of support. Blanket adoption plans might look efficient, but they often fall flat. The best results come from intentional, phased rollouts—where use cases match real needs and enablement meets people where they are. Curious how others are assessing readiness? Let’s compare notes. #FutureOfWork #BusinessStrategy #AIinWork

80% of organizations that saw measurable ROI had a clear, problem-first use case—not a tool-first rollout. It’s not about having the fanciest AI—it’s about having the right use case, connected to business outcomes. 🤝 Successful AI initiatives involved cross-functional teams from the start. When IT, ops, and business leads co-own the rollout, adoption rates and satisfaction soar. 📊 Reporting gaps are still real. Only 42% of teams track AI performance beyond basic usage metrics. That’s not enablement—that’s guessing. 🧠 Learning loops matter. The highest-performing orgs had feedback mechanisms built in: real humans reviewing AI output, refining processes, and improving usage over time. 👀 Look beyond the big bang. Quick wins don’t scale on their own. The most resilient rollouts included adoption frameworks, embedded champions, and lightweight governance—not just a one-time launch. This isn’t about being first. It’s about being sustainable. #FutureOfWork #BusinessStrategy #AIinWork

We’d never greenlight a new CRM without asking, “What problem are we solving?” But with AI? We install it, smile, and hope it figures us out. Reminder: If you can’t name the business problem, you might just be keeping up with the AI Joneses. Ask better questions. That’s where real AI wins start. #FutureOfWork #BusinessStrategy #AIinWork

Turns out, even the smartest AI can’t fix misaligned priorities or 12 versions of the truth in a spreadsheet. Alignment isn’t a buzzword—it’s the blueprint. 👇 Curious—what’s the first sign your team is out of sync? #AIINWork #FutureOfWork #quote #techhack

The future isn’t bot vs. human. It’s bot + human, aligned and in action. 👇 Who's helping your people win with AI? #ai #aiinwork #futureofwork #quote

AI is more mirror than machine—for good or for bad. It shouldn't just help you work faster—AI should show you what you’re working on and why it matters. #aiinwork #futureofwork #quote #techhack