Tendril
Search
20 results
Gamma: AI-Built Presentations in 60 Seconds
Gamma turns a topic into a full deck — slides, layout, images, the works.
Local Model Family: Gemma
Gemma is Google DeepMind open-model family, useful for local and single-accelerator experiments when students want polished small models.
Small Language Models on Device: Phi, Gemma, Llama 3.2 in Production
When a 3B-7B model on-device wins over an API call to a frontier model.
AI On-Device: Phi, Gemma, and When Tiny Models Make Sense
4B-parameter models run on your laptop and phone. They're not GPT-5 — but they're surprisingly useful.
AI On-Device Models: Phi, Gemma, and the Edge Tradeoff
What current on-device AI models can do — and where edge inference falls short.
Management Consultant in 2026: Decks at the Speed of Thought
McKinsey Lilli, Gamma, and Claude generate first-draft slides and research in minutes. The real consulting work — client relationships and implementation — is more human than ever.
Building Slide Decks Without the Drudgery
Slide making eats an afternoon per deck. With AI outlining, image generation, and Copilot in PowerPoint, you get to a solid draft in 45 minutes.
Running an AI Model on Your Own Laptop With Ollama
Ollama lets you download Llama, Gemma, or Phi and chat with them offline — free, private, surprisingly fast.
Local Model Family: OLMo
OLMo is valuable because it centers openness: students can discuss not only weights, but data, training recipes, and research reproducibility.
Cloud Agents vs. Local Agents: The Privacy Tradeoff
Your data can live in someone's data center or on your own laptop. Both are real options in 2026. Understand what you gain and lose with each.
Meet OpenClaw: A Case Study in Local Agent Orchestration
OpenClaw is open-source software that runs agents on your own machine — no cloud dependency, your data stays put. A tour of why it exists and how its pieces fit together.
Open vs Closed AI Models: What's the Difference?
Why some AI you can download and run yourself, and others you can only rent.
Local Model Family: Falcon
Falcon is an important historical local-model family that helps students understand how fast the open-weight ecosystem evolves.
Choosing a Local Model: Llama, Mistral, Hermes, Qwen, DeepSeek, and Friends
There are too many open-weight models. A short, opinionated tour of the major families and what each is actually good at.
Careers & Pathways
80+ jobs mapped to the AI tools that transform them. 490 lessons.
Tools Literacy
Which model when? Claude, GPT, Gemini, Grok — and how to choose. 578 lessons.
Model Families
Every family in the industry. Variants, strengths, limits, pricing. 357 lessons.
Gemma (Google)
Google open models for local and responsible AI builds
Gemini (Google DeepMind)
Google's answer, built natively multimodal