Bytephilosopher
The summer we all planned for is halfway through. How many of us are sticking to the plan? How many of us succeeded in the journey?
Remember the day you begged for this summer, for having no classes and to lock in. Are you just sleeping and watching movies, or are you really working hard to acquire at least one skill?
Just a reminder: today is July 25!
Remember the day you begged for this summer, for having no classes and to lock in. Are you just sleeping and watching movies, or are you really working hard to acquire at least one skill?
Just a reminder: today is July 25!
Good Reminder Let's ask ourselves π§π§ ?
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Forwarded from TechVibe
Article of the day
LLM Integrations
Everyone gets excited when their AI feature finally works, but making one successful API call is the easiest part. What actually matters is everything around it before it reaches production. If you don't plan for failures, retries, rate limits, token budgets, or cost tracking, your application will eventually fail when real users start using it.
A production-ready LLM integration should be built with resilience in mind from day one. Abstract your provider so switching models is painless, retry only transient failures with exponential backoff, stream responses instead of making users wait, validate every tool call, and count tokens before every request to avoid expensive errors. None of these features make your demo look cooler, but they'll save you countless hours in production.
The biggest lesson is that reliability is a feature. Add observability, track your LLM costs, enforce sensible timeouts, and always have a fallback model ready. Production isn't about proving your AI worksβit's about making sure it keeps working when everything around it doesn't.
Read full article π [LINK]
@devwitheyob
#ArticleOfTheDay #AIEngineering #LLM
LLM Integrations
Everyone gets excited when their AI feature finally works, but making one successful API call is the easiest part. What actually matters is everything around it before it reaches production. If you don't plan for failures, retries, rate limits, token budgets, or cost tracking, your application will eventually fail when real users start using it.
A production-ready LLM integration should be built with resilience in mind from day one. Abstract your provider so switching models is painless, retry only transient failures with exponential backoff, stream responses instead of making users wait, validate every tool call, and count tokens before every request to avoid expensive errors. None of these features make your demo look cooler, but they'll save you countless hours in production.
The biggest lesson is that reliability is a feature. Add observability, track your LLM costs, enforce sensible timeouts, and always have a fallback model ready. Production isn't about proving your AI worksβit's about making sure it keeps working when everything around it doesn't.
Read full article π [LINK]
@devwitheyob
#ArticleOfTheDay #AIEngineering #LLM
ααα¬ α³αα΅ - Zemare Dawit
ααα¬ α³αα΅ On Telegram β α°αα ααͺ α₯α«α
β€οΈβπ©Ήβ€οΈβπ©Ήβ€οΈβπ©ΉTomorrow
β€4
Forwarded from Sambee πΌππΌ (Samri)
Gooood moring folks
It's Sunday β¨οΈ β¨οΈ β¨οΈ β¨οΈ
α₯αα³α αα«αα α₯α αα α₯α³αͺα ααα α αα³α αα₯α¨ α£α α α₯α°α¨α°αππ
α αα α₯αα° α°αα α΅ ααααα!
#MorningBuzz
It's Sunday β¨οΈ β¨οΈ β¨οΈ β¨οΈ
α₯αα³α αα«αα α₯α αα α₯α³αͺα ααα α αα³α αα₯α¨ α£α α α₯α°α¨α°αππ
α αα α₯αα° α°αα α΅ ααααα!
#MorningBuzz
β€4
Forwarded from GTB
αααα΅ α₯α¨αα£α α«αα£ α¨α³α΅
α₯ααα α α΅αα α α΅αα αα ααα₯αα΅
α₯ααα α α΅αα α α΅αα αα₯αα€α αα ααα₯αα΅
α₯ααα α α΅αα α α΅αα αα ααα₯αα΅
α₯ααα α α΅αα α α΅αα αα₯αα€α αα ααα₯αα΅
β€2
I just heard someone online say , no matter how old you are , you will always wish you started younger, but today is the youngest you will ever be !!
#simruthoughts
#simruthoughts
β3
Forwarded from Bytephilosopher
In your 20s:
β’ Learn a high-income skill.
β’ Read more than you scroll.
β’ Build healthy habits.
β’ Save and invest early.
β’ Take calculated risks.
β’ Network with good people.
β’ Protect your health.
β’ Keep learning.
β’ Don't fear failure; learn from it.
β’ Be consistent. Small efforts compound into big results.
Source: chagpt, but I want to add one more: there is no perfection, okay.
#lessons
@byte_philosopher
β’ Learn a high-income skill.
β’ Read more than you scroll.
β’ Build healthy habits.
β’ Save and invest early.
β’ Take calculated risks.
β’ Network with good people.
β’ Protect your health.
β’ Keep learning.
β’ Don't fear failure; learn from it.
β’ Be consistent. Small efforts compound into big results.
Source: chagpt, but I want to add one more: there is no perfection, okay.
#lessons
@byte_philosopher
β€2
https://t.me/BurhanOps/3612
Good Night famsππΌ
Good Night famsππΌ
Telegram
BΟ
ΙΎΤΞ±Ι³-Ops
Tomorrow is Monday :)
β€2
Forwarded from Tech Nerd (Tech Nerd)
What if you applied to YC with this kind of filter on the video? π
AKA : THE NEXT ROY LEE π
@selfmadecoder
AKA : THE NEXT ROY LEE π
@selfmadecoder
π2
In this time Don't underrate α α°αα αα¦ ααα£α΅α !! Don't forget to say α°αα΅αα
Good night π΄ fams
Let's get some restπ«‘
β€6
Simret.exe
I wish streamlit support TailwindCSS for this projectπ€§π€§ let me try to find something if there will be tiny possibility π
After some research and errors the Tailwind CSS works in the Streamlit ππΌ It upgrade the app to some level
Checkout the medium blog that I found some infos about it :
Medium Source
Checkout the medium blog that I found some infos about it :
Medium Source
π4π₯1