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@bukanpidel1:

bukanpidel
bukanpidel
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Region: ID
Saturday 19 July 2025 08:50:56 GMT
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Comments

nuaw_naa
iyaininuna :
tutor ka biar rambut nya bisa gtu😔
2025-07-20 08:23:34
20
ig.raapillll
rapi_boyss :
cantik banget asli
2025-07-19 08:54:51
11
lunet_turu
L :
kakk rambutnya bagus bgtt
2025-07-20 13:21:05
8
keyhijup
Keyhijup by Zaqzp :
Jadii anak buah keyhijup ga siiii🥰
2025-08-05 05:49:24
1
amengmeeng0
—a֟ameng ਏਓ :
kedua nich
2025-07-19 09:49:31
0
raelitheeer
𝑟𝑒 :
❤️
2025-07-19 14:39:33
0
ig.raapillll
rapi_boyss :
follback dong cantik😁
2025-07-19 15:35:32
0
lovielila_
🩰 :
potongan rambut apaa kaa?
2025-07-23 14:00:45
1
To see more videos from user @bukanpidel1, please go to the Tikwm homepage.

Other Videos

#القران_الكريم_راحه_نفسية😘🥀🕋💯 #اللهم_صل_وسلم_على_نبينا_محمد🕌🕋🥀🥰🌹 #xabad_cabdullahi_garre🥰🌹🥀
#القران_الكريم_راحه_نفسية😘🥀🕋💯 #اللهم_صل_وسلم_على_نبينا_محمد🕌🕋🥀🥰🌹 #xabad_cabdullahi_garre🥰🌹🥀
Google Search and AI are completely different, and understanding how they work changes how you use them. *To be specific: by “AI” here I mean Large Language Models, or LLMs. Google has technically always been AI – its PageRank algorithm, which decides which links to return to you, has always been a form of AI. And yes, Google is now augmented with LLMs. What we’re comparing in this post is traditional Google (using PageRank) and LLMs.* Lets break down the differences in plain English & answer some of the most commonly asked questions below (so you know when to use which tool): Q: What’s the biggest difference between Google and LLMs like ChatGPT? Google searches, and LLMs predict. Google scans the internet and returns the most relevant websites using a ranking system. LLMs don’t search. They learn from massive amounts of text and then predict what word comes next based on probability. Q: So are LLMs just looking things up? No. They’re word generators. They learn patterns in language, and then generate text that follows those patterns. That’s why they can sound confident even when they’re wrong. Many - crucially, not all!!! - models today have been augmented with the ability to pull some data from the internet and insert it into its context window (i.e. the input into the LLM, the prediction machine) which reduces the risk of “hallucination,” (i.e. making things up) but even so, the model is still a predictor. It can (and often does) still mess up EVEN with web search added. Q: What’s the biggest tradeoff to watch out for? Hallucinations. LLMs are generators (& not a fact checkers), so they can make things up. That’s why tools like web-browsing and retrieval-augmented generation (RAG) are so important: they anchor generation to real data. But they’re not foolproof. Bottom line: If Google is a librarian, LLMs are improv actors who’ve read the entire library. But when you understand *how* they think you can use them way more effectively. Leave your questions or comments in the section below 🥰👇 & share to spread the word!! This concept is simple and yet so important. You guys rock, sending love to you all! Also, if you’re new here, hi! I’m Harper. I’ve spent a decade building AI as a Stanford computer scientist and coding AI systems at Meta & at a startup acquired by NVIDIA. I’ve always loved to teach, and now I get to create educational videos to share the skills, understanding, and intuition I’ve worked years to develop with you. For my (free) 10 Days of AI Basics series + more, DM me GUIDE and I’ll send my video walkthrough guide to you.
Google Search and AI are completely different, and understanding how they work changes how you use them. *To be specific: by “AI” here I mean Large Language Models, or LLMs. Google has technically always been AI – its PageRank algorithm, which decides which links to return to you, has always been a form of AI. And yes, Google is now augmented with LLMs. What we’re comparing in this post is traditional Google (using PageRank) and LLMs.* Lets break down the differences in plain English & answer some of the most commonly asked questions below (so you know when to use which tool): Q: What’s the biggest difference between Google and LLMs like ChatGPT? Google searches, and LLMs predict. Google scans the internet and returns the most relevant websites using a ranking system. LLMs don’t search. They learn from massive amounts of text and then predict what word comes next based on probability. Q: So are LLMs just looking things up? No. They’re word generators. They learn patterns in language, and then generate text that follows those patterns. That’s why they can sound confident even when they’re wrong. Many - crucially, not all!!! - models today have been augmented with the ability to pull some data from the internet and insert it into its context window (i.e. the input into the LLM, the prediction machine) which reduces the risk of “hallucination,” (i.e. making things up) but even so, the model is still a predictor. It can (and often does) still mess up EVEN with web search added. Q: What’s the biggest tradeoff to watch out for? Hallucinations. LLMs are generators (& not a fact checkers), so they can make things up. That’s why tools like web-browsing and retrieval-augmented generation (RAG) are so important: they anchor generation to real data. But they’re not foolproof. Bottom line: If Google is a librarian, LLMs are improv actors who’ve read the entire library. But when you understand *how* they think you can use them way more effectively. Leave your questions or comments in the section below 🥰👇 & share to spread the word!! This concept is simple and yet so important. You guys rock, sending love to you all! Also, if you’re new here, hi! I’m Harper. I’ve spent a decade building AI as a Stanford computer scientist and coding AI systems at Meta & at a startup acquired by NVIDIA. I’ve always loved to teach, and now I get to create educational videos to share the skills, understanding, and intuition I’ve worked years to develop with you. For my (free) 10 Days of AI Basics series + more, DM me GUIDE and I’ll send my video walkthrough guide to you.
اللهم ارحم شهداء وطننا الغالي، واجعل ما أصابهم رفعةً لدرجاتهم وتكفيرًا لذنوبهم، وأسكنهم الفردوس الأعلى من الجنة بلا حساب ولا عذاب. اللهم اجزهم عن وطنهم وأهلهم خير الجزاء، واحفظ بلادنا وأهلها، وأدم عليها الأمن والأمان والعز والاستقرار. رحم الله شهدائنا، وجعل ذكراهم فخرًا لا يُنسى. 🇸🇦
اللهم ارحم شهداء وطننا الغالي، واجعل ما أصابهم رفعةً لدرجاتهم وتكفيرًا لذنوبهم، وأسكنهم الفردوس الأعلى من الجنة بلا حساب ولا عذاب. اللهم اجزهم عن وطنهم وأهلهم خير الجزاء، واحفظ بلادنا وأهلها، وأدم عليها الأمن والأمان والعز والاستقرار. رحم الله شهدائنا، وجعل ذكراهم فخرًا لا يُنسى. 🇸🇦
JAJAJAJA #viral @joepaul13
JAJAJAJA #viral @joepaul13


Dashcam footage shows the exact second a routine speeding ticket turns into a full roadside battle #usa #bodycam #policeofficer #cops #fyp
Dashcam footage shows the exact second a routine speeding ticket turns into a full roadside battle #usa #bodycam #policeofficer #cops #fyp

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