Henok | Neural Nets
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Forwarded from Dagmawi Babi
NGL my only paid AI service is ChatGPT and it's been so worth it!
Forwarded from Luna's pathwayπŸ€— (Luna)
Be Smart on your Pricing Strategy

Front and Back 🍸

Well let me explain I was trying to upgrade my GPT and I thought It's 20$ - as you see on the pricing plan. But after I dive to the confirmation page it Include 4$ VAT which is not displayed on the front page 😐 If the User see the price is 24$ they may hesitate to buy it but ..
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Sometimes all it takes is going to a conference and you will get it for free. Who hates free stuff, right.
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Forwarded from TechαŠ’α‰΅ (Tolo$a)
🚨 Exciting News! 🚨

Join us in just ONE HOUR for an incredible episode of the TechαŠ’α‰΅ Podcast S02E07 πŸŽ™
πŸŽ‰ We're featuring BEKA, a top developer turning unique ideas into reality! πŸš€

Spread the word and share this with anyone you think will love it! 🌐✨

πŸ‘‰πŸ‘‰πŸ‘‰Join

@Techinethio
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Join this podcast to see how boring @beka_cru is πŸ˜‚πŸ˜‚πŸ˜‚


Jk, you will learn a lot
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If you usually use generated images and you want to enhance their resolution use AuraSR-v2: a GAN-based Super-Resolution for upscaling generated images,

Try the model on hf spaces with your images for free: https://huggingface.co/spaces/gokaygokay/AuraSR-v2


Btw a little about GANs, they have of two neural networks, the generator(create data that is similar to the real data) and the discriminator(distinguish between real data (from the training set) and fake data (produced by the generator), which are trained together through a process of adversarial learning where the generator and discriminator are in sort of a competition.
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Linear Algebra for Data Science

Covers a vector of topics from matrices, vector spaces, orthogonality and projections, singular value decomposition, determinants, eigen values and vectors, big theorems, to name a few!

https://kyunghyuncho.me/linear-algebra-for-data-science/
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Let's talk about Sam😁

Introducing Meta Segment Anything Model 2 (SAM 2) β€” the first unified model for real-time, promptable object segmentation in images & videos.

SAM 2 is available today under Apache 2.0 so that anyone can use it to build their own experience.

I will try to test it on something very soon and will post the results here.

Source
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this is how you look when you comment your code?
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Let's talk about Luna

Luna-AI-Llama2-Uncensored

This is is a Llama2 based Chat model fine-tuned on over 40,000 long form chat discussions. This model was fine-tuned by Tap, the creator of Luna AI.

https://huggingface.co/Tap-M/Luna-AI-Llama2-Uncensored
Doro wot is an Ethiopian Bomb?πŸ˜‚πŸ˜‚πŸ˜‚, this was from the above model, Luna-AI-Llama2-Uncensored
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I need some memes to include in my slides for tomorrow, anybody got some cool ones?
Forwarded from Luna's pathwayπŸ€— (Luna)
Save the date and meet @neural_netss🍸

Register Here
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Industrial revolution was our chance to catch up!!!
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"Python is nearly pseudocode that actually works. It is far simpler to understand than C#, Java, C++, Go, R, Erlang, etc. But importantly Python objects can be easily generated from other languages, so we have libraries like NumPy that allow access to high performance low level structures like C arrays from Python. They work just like Python lists but are much much faster and lack the complexity it takes to properly deal with a C or C++ program that can natively use C arrays."
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Michael Phelps, has more Olympic Gold medals than 162 countries including Ethiopia🀯. It's insane.

The Way of the Water
#OlympicFacts
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What do you think?
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Violation of VSCodeπŸ˜‚
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Forwarded from Dagmawi Babi
πŸ“š ScholArxiv

ScholArxiv is an open-source aesthetic and minimal app that allows users to search, read, bookmark, share, download and view summaries of academic papers from the arXiv repository. πŸ₯³

Download here
β€’ https://t.me/Dagmawi_Babi/22592

Features
β€’ Read Papers: Read entire papers in detail within the app.
β€’ Bookmarks: Save your favorite papers for quick access.
β€’ Paper Summaries: View brief paper summaries.
β€’ Search Papers: Search for papers using keywords, titles, authors and abstract.
β€’ Download and Share Papers: Download papers for offline reading or you can share document links to others.

Star the repo or contribute ✨
β€’ github.com/dagmawibabi/ScholArxiv

Thank you and hope you enjoy it! πŸ€“

#MyProjects #ScholArxiv
@Dagmawi_Babi
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