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@alvi-ayaan

600 Following
886 Followers


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@alvi-ayaan
Pure bliss in the simplest moments. A gentle touch, a loyal heart, and an unspoken bond.
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@alvi-ayaan
Cute moment
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@alvi-ayaan
Wanna share?
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@alvi-ayaan
GN
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@alvi-ayaan
Welcome
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Frank๐ŸŽฉโ“‚๏ธ pfp
Frank๐ŸŽฉโ“‚๏ธ
@frvnk
I made it to 1k followers guys๐Ÿฅณ Thank you guys๐Ÿซถ
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@alvi-ayaan
GA
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@alvi-ayaan
Amazing place
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Malvo
@malvo
https://zora.co/collect/base:0xe7d5788396363996367e9431cf19431e1c890621/3?referrer=0x49804b343dDBD17572e0D4aAF08f361639d371A8 Dresden, Germany Architecture
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@alvi-ayaan
GM
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@alvi-ayaan
๐Ÿ˜๐Ÿ˜
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@alvi-ayaan
Where are you man?
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@alvi-ayaan
Wish me luckโ€ฆ itโ€™s my first alien encounter..!!
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@alvi-ayaan
Falling in loveโ€ฆ and watching it burn.๐Ÿ”ฅ
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Amaliee โŒโ—จ-โ—จ
@amaliee.eth
#dailychallenge How LLMs understand human(NLP) and how to make it understand better for non-engineers. Large Language Models (LLMs) are trained on vast datasets, learning statistical patterns in text rather than true understanding. Modern LLMs use self-attention mechanisms to focus on the most relevant parts of the input. Since LLMs predict text rather than comprehend it, understanding their training data helps improve their outputs. You can explore research papers or documentation to identify the datasets used for training. For non-experts, this might be challenging, so alternative approaches can be useful. A simple yet effective method is using markdown formatting for structured inputs. Since LLMs are trained on developer-friendly documents, they process markdown more efficiently. Markdown provides consistency, making it easier for LLMs to follow patterns. Well-structured prompts improve response accuracy. You can also apply Chain-of-Thought (CoT) reasoning manually to enhance logical output.
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@amaliee.eth
โœ…โœ…
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Amaliee โŒโ—จ-โ—จ
@amaliee.eth
Degen changed my life. ๐ŸŽฉ Before this season, I didnโ€™t realize how powerful a community could be. But being part of /degen opened my eyes. It wasnโ€™t just about the tokens it was about the people, the energy, and the support we all share. This season, I claim 148k DEGEN, and it still feels unreal. From the very start, I saw how generosity fuels this space people giving, supporting, and building each other up. Iโ€™ve been able to give back, contribute, and be part of something bigger than myself. Degen is more than just a token. Itโ€™s a movement. Itโ€™s a family. And Iโ€™m grateful for every moment. EVERYTHING I HAVE LEARNED AND WHO I AM TODAY IS THANKS TO DEGEN. @jacek /degen
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Maria
@ms-maria
ITAP of Sunflower
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Maria
@ms-maria
ITAP of beautiful flower!
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Maria pfp
Maria
@ms-maria
Bathed in hues of dawn, the world awakens in a whisper of purple and pink mist. /aitookaphoto
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