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The Latest Trends: August 19th Market Report |Nifty Analysis |Banknifty Analysis |Finnifty Analysis

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The Latest Trends: August 19th Market Report |Nifty Analysis |Banknifty Analysis |Finnifty Analysis

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Risk disclosures on derivatives:
-9 out of 10 individual traders in equity Futures and Options Segment, incurred net losses.
-On an average, loss makers registered net trading loss close to ₹50,000.
Over and above the net trading losses incurred, loss makers expended an additional 28% of net trading losses as transaction costs.
Those making net trading profits, incurred between 15% to 50% of such profits as transaction cost.

Disclaimer:
This video is intended solely for educational and entertainment purposes. We have no intention of involving clients in any trading activities, and it’s important to clarify that we are not registered with SEBI (Securities and Exchange Board of India). We strongly advise you to consult with a qualified financial advisor before making any financial decisions. Seeking guidance from a financial professional can help you make well-informed choices that align with your specific financial circumstances and goals.

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MULTIPLE HORRORS, ONE NIGHT! – Halloween Special – Random Stream #45

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Made with Restream. Livestream on 30+ platforms at once via https://restream.io

Made with Restream. Livestream on 30+ platforms at once via https://restream.io

This is part of our plan to mix collabs AND solo series on the channel, so expect more from each of us depending on the game

If you’re new here, this channel is a mashup of our three main channels into one mega channel. We still upload on our personal channels, but this is where the crossover nonsense lives.

Drop a sub if you’re into dumb moments, solo playthroughs, or future collabs. More episodes and chaos soon

👻 Blooghosty – [ / @blooghosty ]
🐉 Dragon Sakata – [ / @dragon_sakata ]
🎮 Chronicle Gaming – [ / @mikey1995able ]

More chaotic collabs and solo series coming soon from all three of us, so stay tuned.

🔹 Subscribe if you support violence between friends:
Ask
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Le Club – Front Page News (DJ Henco D. by Extended Air-Predator RMX 2). FUNKY DE LUXE COLLECTION.

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Drawn Up and Remixed DJ Henco D. Of Slovakia.This Is My Rare Extended Air-Predator RMX for Le Club – Front Page News (Un Fait Divers Et Rien De Plus). Perfect Electro-Funk Music.

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【FULL】EP10 Love For You 野狗骨头 | Starring: Song Weilong、Zhang Jingyi | MangoTV English

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Download the Mango TV International APP👉https://d.mgtv.com/zb-uXd to watch more hit content at the earliest, with exciting dubbing and multilingual subtitles waiting for you to choose!
PC users can visit the Mango TV International official website for the most trending variety shows and dramas!

Synopsis:

■□More Trending Contents■□:
➤Only for love: youtube.com/playlist?list=PLKvQf7JNnWS1evHG6VWCyT1CK4mZESmtP
➤Good Will Society: https://www.youtube.com/playlist?list=PLKvQf7JNnWS1O_OnnJvt4dkXt_96IQqzJ
➤19th Floor: https://www.youtube.com/playlist?list=PLKvQf7JNnWS3uPkqYDTjEGRo7ajmhMlvj
➤Melody Of Golden Age: https://www.youtube.com/playlist?list=PLKvQf7JNnWS1r0O281S9AMzv4dyXzlZhi
➤You Are My Secret:https://www.youtube.com/playlist?list=PLKvQf7JNnWS0TccBBx6VzdVMOxmNAoL3h

■□More about Featuring Overbearing CEOs■□:
➤Love at Night: https://www.youtube.com/playlist?list=PLKvQf7JNnWS1EgheBQLUvC9KUpYewrLwa
➤Use For My Talent: https://www.youtube.com/playlist?list=PLKvQf7JNnWS0RrXLBh9dWX8zqW4Q6M5FW
➤Begin Again: https://www.youtube.com/playlist?list=PLKvQf7JNnWS29GPBskDQsRAbACh5T0JN-
➤Unforgettable Love: https://www.youtube.com/playlist?list=PLKvQf7JNnWS1JkN8wqRWQZXP_7CGSZHTQ
➤Well Dominated Love: https://www.youtube.com/playlist?list=PLKvQf7JNnWS2RnVd3LX9f2V3-vYZ0WNra
➤Party A Who Lives Beside Me: https://www.youtube.com/playlist?list=PLKvQf7JNnWS0tN2RH2InjTO2q-JLxYclc
➤Please Be My Family: https://www.youtube.com/playlist?list=PLKvQf7JNnWS3xjtxqYoltycun22S_pAzS
➤We Go Fast on Trust: https://www.youtube.com/playlist?list=PLKvQf7JNnWS2vFGwW2MFo865YwVSFHhdl
➤The Trick of Life and Love: https://www.youtube.com/playlist?list=PLKvQf7JNnWS1_pIN4AZE1iCXYYyIOFkiY
➤Dine With Love: https://www.youtube.com/playlist?list=PLKvQf7JNnWS0mHpgvRCt1DZQJZBSqnJaS

🔗Subscribe us on:
MangoTV English:https://www.youtube.com/@MangoTVEnglishOfficial
MangoTV Malaysia: https://www.youtube.com/@MangoTVMalaysia
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If you like this video, please click on 👍 &subcribe and don’t forget to leave your comment!
👉https://www.youtube.com/@MangoTVEnglishOfficial

#mangotvenglish

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Bazaar Brides: Watch Diipa Büller-Khosla doing her wedding make-up

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The global Indian influencer recreates her bridal beauty look: https://www.harpersbazaar.com/uk/bazaar-brides/a27488592/diipa-khosla-wedding-make-up-video/

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How Does AI Learn? (It Gets Everything Wrong First)

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How does AI learn? Nobody teaches it a single fact: it guesses the next word, gets it wrong, and fixes itself a tiny bit, trillions of times.

We follow a brand-new model from random gibberish to a helpful assistant: the next-word guessing game, backpropagation and gradient descent explained as a walk downhill in the fog, the 1958 Perceptron that was supposed to walk and talk, Llama 3’s 54-day training run, why a model doesn’t store the internet, how human feedback teaches it manners, why AI hallucinates, and whether ChatGPT learns from your chats.

WATCH NEXT
What Happens Inside an AI Chip When You Ask a Question https://youtu.be/Iuntbe22Z0E
How Does a Memory Chip Remember Anything? https://youtu.be/W_laZ_c5A_s
How a CPU Really Works (It Has to Guess the Future) https://youtu.be/9uYV_Xq6g6w
CHAPTERS
00:00 The first wrong answer
00:43 Weights: who set the taps?
01:21 The guessing game: next-word prediction
02:26 Gradient descent: downhill in the fog
03:25 The Perceptron: walk and talk
04:09 Training data: the biggest homework
05:04 Backpropagation: a million tiny turns
05:59 Where did the internet go?
06:50 Human feedback: teaching manners
07:33 Why AI makes things up
08:29 Does AI learn from your chats?
09:16 Wrong, then less wrong

SOURCES
Learning representations by back-propagating errors (Rumelhart, Hinton, Williams, Nature, 1986)
Frank Rosenblatt’s Perceptron, 1958 (Cornell Chronicle)
The Llama 3 Herd of Models (Meta, 2024)
Training language models to follow instructions with human feedback (Ouyang et al., 2022)
Extracting Training Data from Large Language Models (Carlini et al., USENIX Security 2021)
Why Language Models Hallucinate (Kalai et al., OpenAI, 2025)
Stanford AI Index Report 2024 (training cost estimates, with Epoch AI)
Nobel Prize in Physics 2024 (Hopfield and Hinton)

NOTES
Animations are illustrations: a real model has billions of weights, not a city of taps, and the “mountain” is a simplified picture of the error landscape. “About 3,500 GPU-years”, “about a million steps”, “more than 100,000 times more words than a child hears” and the model-vs-text size comparison are our rough calculations from the sources above. Training cost figures are published estimates.
Original animation, music and sound by Under the Lid.

#AI #HowItWorks #MachineLearning

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