Samuel Donkor

286 posts

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Samuel Donkor

Samuel Donkor

@SAMADON_

building...

เข้าร่วม Ekim 2019
1.4K กำลังติดตาม350 ผู้ติดตาม
ทวีตที่ปักหมุด
Samuel Donkor
Samuel Donkor@SAMADON_·
Our submission to the @cactuscompute + @nothing + @huggingface hackathon Lucid bridges your digital world (email, calendar, tasks, notes etc.) with your physical environment using AR spatial memory, voice-first interaction and on-device AI
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Samuel Donkor รีทวีตแล้ว
High Yield Harry
High Yield Harry@HighyieldHarry·
New year, same intensity:
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Samuel Donkor
Samuel Donkor@SAMADON_·
@cactuscompute @nothing @huggingface Excited to share that our team placed 2nd at the Cactus (YC S25) x Nothing x Hugging Face Mobile AI Hackathon. We were up against teams from MIT, Stanford, and builders from around the world. Grateful to have had the chance to build and compete alongside so many talented people.
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Samuel Donkor
Samuel Donkor@SAMADON_·
Our submission to the @cactuscompute + @nothing + @huggingface hackathon Lucid bridges your digital world (email, calendar, tasks, notes etc.) with your physical environment using AR spatial memory, voice-first interaction and on-device AI
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Anything
Anything@anything·
Anything for iOS is out! it's the app that makes apps $100k hackathon for it, reply to sign up
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Paul Azunre
Paul Azunre@pazunre·
Announcing Speech Recognition and Generation from @KhayaAI for 32 African Langs covering ~540 million people!! Live demo in comments. See video for demo of Speech Recognition for Southern Ghanaian Langs. @KhayaAI is the only AI covering all government sponsored Ghana langs 🔥
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shirish
shirish@shiri_shh·
dear algo please only show this tweet to S tier programmers
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Samuel Donkor
Samuel Donkor@SAMADON_·
The output was complete gibberish. So I found a better dataset: intronhealth/afrivox with 18,881 samples and 64 hours of audio. Currently waiting for access since it's gated, but my training pipeline is ready to go.
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Samuel Donkor
Samuel Donkor@SAMADON_·
There's a "Goldilocks zone" in quantization where you balance size, speed, and accuracy. Next, I tried fine-tuning the model using intronhealth/afrispeech-dialog. Turns out it only had 49 samples, basically just 3 training batches for a 769M parameter model.
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Samuel Donkor
Samuel Donkor@SAMADON_·
Spent the weekend optimizing afriSpeech-whisper-medium for mobile inference. The base model is 2.8 GB which is way too large for mobile devices. So I converted it from PyTorch to GGML format, creating three compressed versions: Q8_0: 786 MB (72% reduction)
Samuel Donkor tweet media
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Samuel Donkor
Samuel Donkor@SAMADON_·
Bscribe helps clinicians spend less time on paperwork, and more time with patients. It captures clinical conversations, generates structured, evidence-based notes, and syncs directly with your EMR. Join the beta today. bit.ly/BscribeAI
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Samuel Donkor
Samuel Donkor@SAMADON_·
Bscribe helps clinicians spend less time on paperwork, and more time with patients. It captures clinical conversations, generates structured, evidence-based notes, and syncs directly with your EMR. Join the beta today. bit.ly/BscribeAI
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michael raspuzzi
michael raspuzzi@michaelraspuzzi·
"am i actually a fit for this?" it's hard to answer when applying for a @ycombinator startup or @Starbucks barista so we made a 5min reality check that roasts you in the process 👉 howuselessareyou.com ps. there's a leaderboard. if you're first, you're last.
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Upen
Upen@upen946·
👋👋 Monday again!! Time to promote your product. 🚀 Share your product URL.
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