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PIWhat is Semantic Versioning? #coding #backenddeveloper #programming #systemdesigninterviews #ai
@piyushgarg.official
#Semantic Error Programming Concept
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PYHow to handle errors in Python 👇
If your program crashes when a user enters the wrong input, it’s time to use try and except.
They help you catch errors and keep the rest of your code running smoothly.
In this example, we used it to stop the program from crashing when someone enters text instead of a number.
Want to learn about other common Python errors too? Check out the post!
#Python #ErrorHandling #PythonTips #LearnPython #CodingForBeginners #PyCodeHubb
@pycode.hubb
1.4M
INGraham scan algorithm animated!
Full video in the YouTube channel
#algorithms #computerscience #programming
@inside.code
27.5K
INPrim's algorithm visualized!
#algorithms #programming #computerscience
@inside.code
136.4K
THSemantic Vs Non-Semantic Explained🎯👇
Semantic HTML: 📝 Semantic HTML elements are those that carry meaning. They accurately describe the content they contain. Examples include `<header>`, `<nav>`, `<article>`, `<section>`, `<footer>`, `<aside>`, `<main>`, etc. These elements convey the purpose and structure of the content they wrap, making the HTML code more understandable for both developers and assistive technologies like screen readers.
Non-Semantic HTML: 🔲 Non-semantic HTML elements are those that do not convey any meaning about the content they contain. Examples include `<div>`, `<span>`, `<i>`, `<b>`, etc. While these elements are essential for structuring and styling a web page, they do not provide any context or meaning to the content within them.
When it comes to HTML, writing semantic markup is considered best practice as it improves accessibility, search engine optimization (SEO), and the overall maintainability of the codebase.
Like our content ? You may also like my Frontend to Backend Ebook ✅️
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👉 @the_coding_wizard
👉 @the_coding_wizard
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#coding #css #webdeveloper #programmer
@the_coding_wizard
13.7K
CAEmbeddings = the brain of semantic AI. 🧠
This is how machines understand meaning, not just words.
Save this for later if you’re building with AI. ⚡️
#AI #Embeddings #SemanticSearch #RAG #LLM #LangChain #VectorDatabase #MachineLearning #AIEducation #NeuralNetworks #TechReels #CactusAI #ArtificialIntelligence #CosineSimilarity #MLEngineer #DataScience
@cactuss.ai
10.4K
ALLinear Regression Algorithm simple and easy Explanation.
- by Peter Griffin
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#linearregression #machinelearning #datascience #ai #artificialintelligence #mlalgorithm #regressionalgorithm #statistics #predictivemodeling #datamodeling #pythonprogramming #codinghumor #familyguy #petergriffin #funnyai #edutainment #techreels #learnwithfun #machinelearningmemes #dataanalysis #analytics #aiexplained #mlreels #reelsinstagram #techcontent #humortech #educationalreels
@algorithmswithpeter
43.1K
DESemantic HTML 😎 Vs Non-Semantic HTML 🥲 Have you got semantic ?
🤔 Semantic HTML uses tags that give meaning and structure to the content (like <header>, <footer>, <article>), while non-semantic HTML uses tags solely for presentation (like <div> or <span>)
✅ Semantic HTML refers to the use of HTML markup to convey the meaning and structure of content on a webpage.
❎ Non-semantic HTML focuses more on the presentation and layout of the content.
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🌸 Share with your other frontend friends and spread the exciting tricks tips 🔥
🎀 𝖋𝖔𝖑𝖑𝖔𝖜 » 👉 @devschandan 👈
📚 Learn daily » 𝖙his page is beginner friendly 🤓
Hastags 🏷️:
#flex #responsive #fluidlayout #css #html #coders #fullstack #codingisfun #codingbootcamp #codingchallenge #learncode #reactjs #codinggirl #programmerslife💻 #100daysofcode #csstricks #codingjokes #100daysofcodechallenge #frontenddev #frontenddeveloper #frontendengineer #html5 #htmlcoding #htmltutorial #html5website #htmlcode #html_css
@devschandan
43.9K
TESimple terms | Explaining the math ⤵️
When an AI compresses numbers it rounds them. Instead of storing 3.7291 it stores “roughly 4.” That saves space. But every time it does that it also has to store a little note saying “the original numbers were in this range, so scale accordingly when you un-round later.” That note costs extra memory. That is the problem TurboQuant is solving in two stages.
1. PolarQuant - the reason that note is needed is because the numbers inside a vector are wildly uneven. Like 0.001, 850, 0.003, 920 all in one list. When numbers are that spread out you need custom scale instructions per group. PolarQuant fixes this by mixing the numbers before compressing them. More like blending. Every output number becomes a little bit of every input number combined. So 850 from the list does not sit in one slot anymore. It gets diluted across all slots. The tiny numbers get a little boost from their neighbors. The total information does not change but now instead of 0.001, 850, 0.003, 920 you get something like 2.1, 1.9, 2.3, 2.0. Roughly even. Now you only need one shared scale for the whole group. No custom note. That is where most of the memory saving comes from.
2. QJL - even after a clean compression rounding always leaves a tiny leftover error. The real number was 2.3 and you stored 2. Error is 0.3. The dangerous part is these errors tend to all lean the same direction, always slightly too high or always slightly too low. That is called bias. Over thousands of calculations that bias snowballs and the model loses accuracy. QJL just asks one question about each leftover error. Is it positive or negative. That is it. One bit. A plus or a minus. Mathematically that single direction flag is enough to cancel out the drift across all calculations. It does not store how big the error is. Just which way it is leaning. And that is enough.
So, To sum it up TurboQuant is not a new model. It is a smarter way to compress the AI’s working memory during long conversations. Mix the numbers so they become even, compress cleanly, then catch the drift with one bit per error.
@googlegemini @googledeepmind
🏷️ Day 12, GenAI, Google research pa
@techwithnt
301.3K
COSound effects of any error hits your terminal.. comment the sound to get this in your dm .
#meme #development #programming #frontend #backend
@codekarlo
124.7K
SAMari berdamai dengan error 🫣📝
Berikut ini adalah beberapa tipe error yang sering banget kita temui:
- Syntax error
- Logic error
- Runtime error
Karena error adalah hal yang pasti kita temui setiap harinya sebagai programmer, jadi kita harus membiasakan diri dan jangan mudah putus asa ketika dihadapkan dengan pesan kesalahan atau console yang kebakaran..
Tarik nafas, jangan panik dan pelan-pelan baca pesan yang muncul, karena sebetulnya di dalam pesan error itu biasanya tersimpan clue bagaimana cara mengatasinya.
Pokonya inget selalu pesan dari Tsubasa ketika dia masuk jurusan IT..
“Error adalah teman ⚽️😅”
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#programming #error #programmingtips #programminglife #coding #codingtips #codinglife #devtips #belajarcoding #ngoding #wpu #janganlupatitikkoma
@sandhikagalih
106.3K
COPython Oddities: making code both ERROR and SUCCEED!? (+= operator with a list inside a tuple)
Follow @codeaffinitydev to learn more about python, programming, and coding, and also check out our channel linked on our profile!
#python #pythonprogramming #coding #programmer #programming #computerscience #knowledge #pythontutorial #pythontutorials
@codeaffinitydev
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