Forwarded from Dagmawi Babi
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This's so impressive wtfruits!!! π₯
Lucy β Multilingual AI Voice Assistant & Chatbot for Ethiopians
β’ https://www.linkedin.com/posts/zemenu_lucy-next-generation-ai-ugcPost-7298736880336920576-HD8B
I was impressed at the Amharic TTS and also when bro wrote amharic in english "endezih" and it understood. Not to mention it scrapes telegram channels and understands major Ethiopian languages,
Lucy β Multilingual AI Voice Assistant & Chatbot for Ethiopians
β’ https://www.linkedin.com/posts/zemenu_lucy-next-generation-ai-ugcPost-7298736880336920576-HD8B
I was impressed at the Amharic TTS and also when bro wrote amharic in english "endezih" and it understood. Not to mention it scrapes telegram channels and understands major Ethiopian languages,
π₯21π1
How can a startup says they work on AI, blockchain, nanotech, quantum computing etc and all while being Africa-based. They're not disrupting the market, they're defying physics.
π€£27π2π1π1
If United win today, I don't see any reason why AGI won't happen soon.
π11π€£6π―2
Henok | Neural Nets
This is interesting, how is tensorflow beating Jax in a normal 10,000 Γ 10,000 matrices multiplication(element-wise)? Anway, if you only need per-element operations, use multiply() (very fast) and tf will be faster than jax. If you need actual matrix computationsβ¦
Spent the last 2 weeks exploring JAX(I've some prior experience) for no particular reason, for most of the time Numpy outperforms it for a few things I tried esp CPU and low GPU requiring tasks, but I'll try to train/inference in big models like Gemma to see the difference.
If you hated PyTorch for not being functional, then go for JAX.
I really want to know if anyone worked with JAX extensively and see how your experience was.
Here is a very good notebook to learn more by some friends: Notebook
Oh and Deepmind uses JAXπ
If you hated PyTorch for not being functional, then go for JAX.
I really want to know if anyone worked with JAX extensively and see how your experience was.
Here is a very good notebook to learn more by some friends: Notebook
Oh and Deepmind uses JAXπ
GitHub
indaba-pracs-2024/practicals/Intro_to_ML_using_JAX/Introduction_to_ML_using_JAX.ipynb at main Β· deep-learning-indaba/indaba-pracsβ¦
Notebooks for the Practicals at the Deep Learning Indaba 2024. - deep-learning-indaba/indaba-pracs-2024
β€9π2
Forwarded from Beka (Beka)
Better Auth is 500 stars away from 10k stars β¨ could you please give us a star if you haven't ;)
https://github.com/better-auth/better-auth
https://github.com/better-auth/better-auth
GitHub
GitHub - better-auth/better-auth: The most comprehensive authentication framework for TypeScript
The most comprehensive authentication framework for TypeScript - better-auth/better-auth
β€3
Llama 3.2 400M Amharic
This is a smaller version of the Meta's Llama-3.2-1B decoder transformer model pretrained from scratch for 23 hours using a single A100 40GB GPU and 274 million tokens of Amharic text.
https://huggingface.co/rasyosef/Llama-3.2-400M-Amharic
This is a smaller version of the Meta's Llama-3.2-1B decoder transformer model pretrained from scratch for 23 hours using a single A100 40GB GPU and 274 million tokens of Amharic text.
https://huggingface.co/rasyosef/Llama-3.2-400M-Amharic
π₯15
Forwarded from Beka (Beka)
Hey guys good news :)
Better Auth has been accepted into Y Combinator's Spring 2025 batch (X25)! π
Myself and @kinfishfarms, will be part of YC's first spring batch. Super excited and thanks everyone here for being part of my journey so far :)) but a lot more to come!
Better Auth has been accepted into Y Combinator's Spring 2025 batch (X25)! π
Myself and @kinfishfarms, will be part of YC's first spring batch. Super excited and thanks everyone here for being part of my journey so far :)) but a lot more to come!
β‘13π₯7π1
Congrats @beka_cru on thisπ, let's not make fun of him at least for today π
π22π€£5
OpenAI is the company that's going to take us to the next chapter !!!
π₯14π1
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Hasab AI π₯
Here is a great practical use case of ML in Ethiopia. The inference is really optimized π₯.
Take a look at the demo.
https://www.hasab.ai/
Here is a great practical use case of ML in Ethiopia. The inference is really optimized π₯.
Take a look at the demo.
https://www.hasab.ai/
π₯28
Why is the field of robotics so slow in the past 15 years?
Boston Dynamics is the only one I can think of.
Boston Dynamics is the only one I can think of.
π―6
Henok | Neural Nets
If you are interested in Computer Vision make sure to apply here. It's a great program and I was a TA there last year and learned a lot too and met some cool people. The curriculum emphasizes the importance of ethical considerations, geometry and math, deepβ¦
Started reviewing applicants today. So many great people.
Text to Bark, what a breakthrough in human civilization.
https://x.com/elevenlabsio/status/1907014022009876508
This got me fooled tbh
https://x.com/elevenlabsio/status/1907014022009876508
X (formerly Twitter)
ElevenLabs (@elevenlabsio) on X
We pioneered the first ultra-realistic Text to Speech model, and recently launched the world's most accurate Speech to Text model, Scribe.
But we're not stopping there.
Today, we're taking one small step for man, and one giant leap for man's best friend...β¦
But we're not stopping there.
Today, we're taking one small step for man, and one giant leap for man's best friend...β¦
π€£10
My favorite open source model series. The Llama 4 herd is out
https://ai.meta.com/blog/llama-4-multimodal-intelligence/
https://ai.meta.com/blog/llama-4-multimodal-intelligence/
π₯11
What are some *practical* ways for reducing input tokens (e.g. chunking, summarizing, selective filtering) ? Just looking for something that worked well.