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WHAT'S THIS VIDEO ABOUT?
I used over 1.3 billion Opus 5.5 tokens in the last week, which would cost $5,200 at API pricing but only about $260 because nearly all of them were cache reads. This video explains how prompt caching works (the model's internal state gets stored and reused, and exact prefix matching decides whether you get a hit), how it can cut LLM costs by 80 to 90%, and how it differs from semantic caching. If you're on a subscription, the same ideas help you stop burning through your weekly limits.
Like, subscribe, & leave me a comment if you have a specific request. Thanks.
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TIMESTAMPS
00:00 $5,200 vs $260 Token Bill
00:51 Why Prompt Caching Matters
01:42 Repetition in Every Prompt
03:18 What Gets Cached
04:50 Second Request & Cache Reuse
06:07 Hashing & Routing Under the Hood
07:24 Cache Hit vs Cache Miss
08:31 Exact Prefix Matching Rule
10:08 Prompt vs Semantic Caching
11:53 Using Both Caches Together
WATCH THESE NEXT
https://www.youtube.com/watch?v=2TVhf3UvhBw
https://www.youtube.com/watch?v=j3aqbvLIBd4
https://www.youtube.com/watch?v=Z5jruHWHHjY
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WHY LISTEN TO ME?
Hey everyone, I'm Hassan. I run an AI/Automation and Software Development agency at hassandev.me. I've built custom workflows that save clients 20+ hours every week. I've helped businesses solve CRM issues that directly led to an increase of $430k CAD in quotations. I've scaled platforms to 100,000 users and beyond. I also enjoy making content and sharing what I learn with the world. I love to yap on YouTube, as you can see. I'm very active here, and on X, so if you want to reach out to me, leave a comment or DM me on X.
MY LINKS
Website: https://www.hassandev.me
Portfolio: https://www.hassandev.me/work
YouTube: https://www.youtube.com/@itshassanaziz?sub_confirmation=1
My Book: https://www.hassandev.me/designing-websites
X / Twitter: https://x.com/intent/user?screen_name=nothassanaziz
Instagram: https://www.instagram.com/hassansdev/
LinkedIn: https://www.linkedin.com/in/hassan-aziz-web
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