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@snnita.magar:

sunita..magar
sunita..magar
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Region: NP
Thursday 05 February 2026 14:10:11 GMT
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ranjit.ale.magar..r..d
꧁ঔৣ🦋रन्जित मगर🕊️ঔৣ꧂ :
♥♥♥♥
2026-02-05 14:51:47
1
sita.thapa.maga
Sita thapa magar :
❤️❤️❤️
2026-02-05 14:28:35
1
kanxi.tmg8
Kanxi Tmg :
👌👌👌👌🌹🌹🌹🌹
2026-02-05 14:44:01
1
suman..maga
sujita magar :
👌👌👌👌👌❤❤❤
2026-02-05 14:15:37
1
alishamagar12394
Alishamagar123 :
👌👌👌
2026-03-29 05:25:27
0
sujina_33
Miss _ prettyy 👀🫶🌷 :
❤️❤️❤️
2026-02-25 12:04:22
0
aayushmgr130
सफल मगर :
♥️♥️♥️♥️♥️♥️
2026-02-07 15:48:10
0
binamagar642
binamagar642 :
🥰🥰
2026-02-07 15:07:05
0
mayamagar0488
mayamagar :
👌👌👌👌👌👌
2026-02-07 10:46:05
0
shirjana.tmg5
Shirjana__Tmg❤️ :
👌👌👌❤️❤️
2026-02-07 07:31:55
0
binamagar107
bina Magar ❤️💐 :
❤️❤️❤️
2026-02-06 11:15:02
0
yamkumar0
Hello hjr :
🥰🥰🥰🥰🥰
2026-02-06 07:50:55
0
alishamagaralisha0
alisha magar :
🥰🥰🥰🥰
2026-02-06 06:27:28
0
purbeli.lafa2
purbeli lafa 😎 :
🥰🥰🥰🥰
2026-02-06 03:13:17
0
laxmi.magar520
Laxmi Magar :
❤️❤️❤️❤️❤️
2026-02-05 22:56:12
0
ramechap.ko..keto
भगवान शिव :
♥️♥️♥️
2026-02-05 20:18:10
0
niramanish1
Nira thapa magar :
♥♥♥
2026-02-05 19:44:29
0
nabinsabinamgr1
Sabina Magar :
💞💞💞
2026-02-05 17:30:32
0
manamagar10
manamagar10 :
🥰🥰🥰
2026-02-05 16:51:35
0
sukuthapamagar8
suku🤗 :
💖💖💖💖
2026-02-05 16:45:21
0
sita.khati8
Sita Khati :
❤❤❤
2026-02-05 16:08:54
0
sushmaa_mgr
sushma💙 :
♥️♥️♥️
2026-02-05 16:03:49
0
mira.ale521
Mira Ale :
🥰🥰🥰
2026-02-05 15:37:56
0
chhitiz877777
CHHITIZ💔😥 :
❤❤❤
2026-02-05 15:02:16
0
deeplove163
Deepu Rana magar :
❤❤❤
2026-02-05 14:40:44
0
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Other Videos

#thesocialwarriorseason2 #TheSocialWarrior #สมรภูมิโซเชียล #ทีมมาสเตอร์นิกกี้ #ทีมมาสเตอร์ลูกเกด
#thesocialwarriorseason2 #TheSocialWarrior #สมรภูมิโซเชียล #ทีมมาสเตอร์นิกกี้ #ทีมมาสเตอร์ลูกเกด
12-65kgĐồ Bộ Bé Trai Ao Loang Màu Quần Túi Hộp CỰc Chất Size Đại ()_
12-65kgĐồ Bộ Bé Trai Ao Loang Màu Quần Túi Hộp CỰc Chất Size Đại ()_
tell me its a yay
tell me its a yay
Stop fine-tuning. You probably don't need it. 🛑 Every team asks the same question:
Stop fine-tuning. You probably don't need it. 🛑 Every team asks the same question: "should we do RAG or fine-tune?" 🤔 Wrong question. The real one is: where does the knowledge need to live? Answer that, and the choice makes itself 👇 01 · LONG CONTEXT 📄 effort ●○○ · $$ Paste the whole document into the context window. Every single call. That's it. No vector database, no pipeline, no infra, no retraining. The knowledge is pasted in each time. → Perfect for: contracts, code review, one doc, one session. If it fits in the window and it's one session, you're done. Ship it. 🚀 02 · RAG 🔎 effort ●●○ · $$ Now the corpus is too big to paste. So the model reaches out — queries a vector DB, pulls back the relevant chunks, and answers with them. The knowledge lives outside the model, which means you update a document and the answer changes instantly. No retraining. ⚡ → Perfect for: docs, support, search, anything where facts change weekly. 03 · FINE-TUNE 🎯 effort ●●● · $$$$ Data → training → new weights. One-time, offline, expensive. The knowledge gets baked into the model itself. Powerful — but the moment a fact changes, you retrain. 🔁 → Perfect for: brand voice, output format, structured responses, domain style. Notice what's not on that list: facts. 👀 Here's the part that costs teams months ⏳ Fine-tuning teaches the model how to behave. RAG and long context give it what to know. They solve completely different problems — so "RAG vs fine-tuning" was never really a competition. 🤝 And the effort ladder matters: each step down costs more money, more infrastructure, and more time before you ship. 💸 So the rule is simple: Start at the top. Move down only when it breaks. 🪜 Can't fit the doc? → Add RAG. Wrong tone or format no matter how you prompt? → Then fine-tune. Most teams skip straight to step 3 because it sounds the most impressive. Then they spend six months rebuilding what a 200K context window would have handled on day one. 😮‍💨 📸 Screenshot the last frame — all three architectures, effort, and cost in one view. Save it before your next design review. 🔖 Follow @hackproduct — we turn scary AI-engineering concepts into things you can actually ship. ⚡ . . #RAG #AIengineering #LLM #finetuning #longcontext
#creatorsearchinsights #createsightinsight #fypviralシ
#creatorsearchinsights #createsightinsight #fypviralシ


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