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Jan 3 (edited) • 🛠AI Tools
Week 2 – Day 8: Understanding AI Models
LLaMA
What LLaMA actually is
LLaMA (Large Language Model Meta AI) is a family of open‑weight language models released by Meta.Unlike closed models, LLaMA is designed so developers and researchers can run, adapt, and build on it themselves.
In simple terms:
- It’s a powerful text‑understanding and text‑generation model
- Often used behind the scenes in tools and apps
- Known for flexibility and efficiency when run locally or on servers
What people commonly use it for
Beginners and builders use LLaMA for:
- Learning how modern AI models work under the hood
- Powering chatbots or assistants in custom apps
- Writing, summarizing, and explaining text
- Running AI locally for privacy or experimentation
- Fine‑tuning models for specific tasks
You might not “chat with LLaMA” directly every day — but many tools are built on it.
One small thing to try today
Think about where AI runs.
Prompt to try (any AI chat):
“What’s the difference between running an AI model locally and using one in the cloud?”
This helps you understand why models like LLaMA matter.
Simple steps
- Ask a question about how AI models are deployed
- Read the explanation slowly
- Notice mentions of privacy, speed, cost, or control
- Ask a follow‑up like:
Why this helps
- You learn that AI isn’t just one app — it’s many models and setups
- You understand the trade‑offs between convenience and control
- You gain context for why open models exist
- You become better at choosing tools later
This is a mindset shift: AI as infrastructure, not just a chatbot.
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Week 2 – Day 8: Understanding AI Models
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