Henok | Neural Nets
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Forwarded from Beka (Beka)
Introducing Better Auth

The most comprehensive authentication library for Typescript.

https://better-auth.com
https://github.com/better-auth/better-auth
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Resources to study RL:

- Introduction to RL book by barto and sutton

https://spinningup.openai.com/en/latest/ great resource includes papers, RL resources, concepts, RL frameworks

- Hugging face deep RL course: https://huggingface.co/learn/deep-rl-course/en/unit0/introduction


Source
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Addiscoder was one the best things I did in high school 🔥. It was truly a life changing experience. I also went back as a TA and it was even more awesome.

If you are in university (or anyone interested in it), good in data structures & algorithms, please be a TA and be a member of the amazing family.

If any high schooler here, you can also apply to be a student.

More info here

https://www.addiscoder.com/
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Question 💡

What is enthusiast in a LinkedIn profile mean? Like AI Enthusiast, Data science enthusiast etc. BTW I'm not saying it's a good or bad thing.

I'm genuinely curious about this.
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My first hacktoberfest was all in for the tee lol. It was nice to have it but it was an enjoyable thing regardless of it.
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Forwarded from Techኢት (Alpha)
Techኢት Podcast S02E14 is out! 🎙

We had an amazing conversation with Dr. Wondwossen Mulugeta , VP for Institutional Development at Addis Ababa University, on the latest episode of the Techኢት Podcast. 🚀 We discussed his background, Natural Language Processing—especially in local languages—trending AI topics, and institutional matters at Addis Ababa University. Dr. Wondwossen also advised young students in tech. Don’t miss this fascinating discussion about Ethiopia's tech future! 🌍

🎧 Watch now: YouTube link

@Techinethio
#TechPodcast #AI #DigitalTransformation #NLP #EthiopianTech #Innovation #MachineLearning
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🇪🇹 ChatGPT can now speak Ethiopian languages.


Obviously it's not the best but check out when she speaks Amharic, Afan Oromo, and Tigrigna.

The accent is a bit funny but I'm surprised😁
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If you have worked on vision language models, you have probably faced visual perception as they tend to focus on the wrong areas.

These people in this paper, Attention Prompting on Image for Large Vision-Language Models, basically introduce Attention Prompting on Image (API), where applying a mask to the image enhances LVLMs' visual understanding. This is very cleaver way and simple way.


Full details to find code, paper,demo, huggingface spaces can be found here on their website.

https://yu-rp.github.io/api-prompting/
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