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@kuyabennyirl: BRO PUT MORE AGUA IN MY AGUA FRESCA
KuyaBennyIRL
Open In TikTok:
Region: US
Friday 16 October 2026 23:41:58 GMT
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Music
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No Watermark .mp4 (
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Watermark .mp4 (
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Music .mp3
Comments
yuppy :
square app brother
2026-10-17 16:37:34
1
Rebecca Sue Garcia :
you should come to monterey Park
2026-10-17 03:41:35
1
Mr Wonderful :
Just make the juice with no ice at all and have a separate bucket with just ice. You’re diluting the drink.
2026-10-18 11:44:54
0
gmblz718 :
Say no customers one more time.
2026-10-17 23:45:11
8
Monteil :
Man I wish this was in Peoria, IL so I could try it
2026-10-17 00:27:07
13
Alexander :
How much
2026-10-17 01:48:36
3
Had👅 :
Not trying to be rude but you should make them at least $1
2026-10-18 02:54:52
4
I am the Kool-Aid man :
3I’m
2026-10-16 23:45:01
1
The key :
Probably bc it’s 5$ just for one cup ✌️😭
2026-10-17 07:43:01
82
🧿 Maria C 🪬 :
looks delicious
2026-10-17 02:45:59
0
🌺 Mary Saucedo 🌺 :
Mix it all 😁
2026-10-17 14:39:31
0
giovannitheking :
I like it
2026-10-17 14:40:23
0
Gigi Go :
lol
2026-10-16 23:44:13
0
JuJuthabest :
5th
2026-10-17 00:03:40
0
Msyurlocwerido!? :
4thhh
2026-10-16 23:56:11
0
Christina Fitzpatric :
Might be a bad location
2026-10-18 05:37:38
0
Rebecca Sue Garcia :
what's your location
2026-10-17 03:41:52
1
Pablo :
no juice all ice
2026-10-17 09:29:47
4
D3AD ROSSES🪦 :
i am first like and i love your videos
2026-10-16 23:46:51
1
☮️ Joanne 13🐬 :
Can I have one with ice on the side 😳
2026-10-17 03:50:49
0
toxic 1 to 9 :
Keep wishing
2026-10-17 16:50:05
0
Louis :
🔥🔥🔥
2026-10-17 08:48:12
0
1sixerr :
😳😳😳
2026-10-17 19:04:10
0
ysl_abdi :
😳😳😳
2026-10-17 01:16:05
0
trapstarr_tre :
😂😂😂
2026-10-17 20:10:40
0
To see more videos from user @kuyabennyirl, please go to the Tikwm homepage.
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Prompting vs RAG vs Fine-tuning — the question every AI team argues about, answered in one picture. 🧠 Stop asking "should I fine-tune?" Ask: is the problem style, facts, or judgment? 1️⃣ Prompting — fixes style. Tell the model how to answer: JSON, concise, this tone. → Use when: the facts are right but the format or tone is wrong. No training data. But the model never learns anything new. 2️⃣ RAG (Retrieval Augmented Generation) — fixes facts. The model still doesn't know it, but it can look it up in your docs. → Use when: facts change often, or live in your private docs. Update the docs, and the answers update the same day. No retraining. 3️⃣ Fine-tuning — fixes judgment. Train on examples until the model makes the call the way your team would. → Use when: the pattern is stable, but no prompt can capture it. Needs good examples, and a retrain every time the pattern changes. 👀 The part nobody says: most "we need to fine-tune" problems are really facts problems. Fine-tuning doesn't keep facts fresh, and when your pricing changes next week, the model won't know. Rule: style = prompt, facts = RAG, judgment = fine-tune. Try them in that order. Where teams go wrong: spending weeks building a training set to teach the model their product docs, when RAG would have shipped in days and stayed current. Send this to whoever just said "let's fine-tune it". 📸 Screenshot the last frame — the whole decision in one line. Save it before your next "should we fine-tune?" meeting. Follow @hackproduct — we turn scary AI-engineering concepts into things you can actually ship. ⚡ . . #AIengineering #machinelearning #softwareengineering #LLM #RAG
#xh
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