LIVE Webinar
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Open Source Models
Demystifying the open-source AI stack
Every week Google, Meta, and Nvidia ship a new open-source model that claims to rival the big paid ones. Most people never try them, because the setup looks intimidating and it's hard to know where to start. Here's the part nobody tells you: the model matters less than the harness you run it in. This session demystifies the whole stack. We'll stand up a working setup live, prove it end to end, and show you the shortest path to running open models yourself.
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Receipts from past sessions
Every session ships something you keep.
What You'll Walk Away With
Practical tools, ready the same day.
Every session ends with something you can actually use. Not slides. Not frameworks. Working prompts and workflows, demonstrated live.
A working setup, end to end
Watch a chat interface get stood up and connected to open models live, then used, start to finish. No prior experience assumed.
The vocabulary that unlocks it
Harness, inference, context, turns, steering. What each one is, what it does, and why it matters more than which model you pick.
The shortest path to running open models
Skip the expensive hardware question entirely. We'll show the setup that gets you running today, and how to swap in a local model later without changing anything else.
When it makes sense to switch
The tasks where open models are the obvious call, and the ones where you should keep paying. So you don't waste a weekend chasing the wrong swap.
Who This Is For
If you've tried AI for this before and it didn't quite land, this session is built for you.
Operators curious about open-source AI who don't know where to start
Anyone paying for AI tools who wants to know if a cheaper path is good enough
People who've heard "just run it locally" and want to know what that actually involves