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adalkiran
searching PlanetScale…
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by
adalkiran
2y ago
Hey, thanks! It's a common question that comes from the ML community. The reason is, the main aim of this project is to implement inference from scratch and without using any library. So, Python has lots of abilities to make it easier,
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Show HN: Dive into Transformers and LLM World – Llama 3.1 in Go, Step by Step
(github.com)
4 points
by
adalkiran
2y ago
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2 comments
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Show HN: LLaMA Nuts and Bolts, A holistic way of understanding how LLMs run
(github.com)
3 points
by
adalkiran
3y ago
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0 comments
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Show HN: Distributed Inference,Apply DL to WebRTC Video Frames via Redis Streams
(github.com)
5 points
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adalkiran
4y ago
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0 comments
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Show HN: Inventa – A Go-Python library for service registry and RPC over Redis
(github.com)
3 points
by
adalkiran
4y ago
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0 comments
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by
adalkiran
4y ago
Hi, approximately it took my two months, including the documentation, without a full-time strict calendar. But before it, I worked on development of a browser-based video conferencing system (using open-source modules, with some other langu
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adalkiran
4y ago
Thanks for your nice comment :)
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by
adalkiran
4y ago
You're so right. In most cases, you won't have a problem if you implemented it with existing products, but for 5%, lots of cases may happen :) The complete reason behind WebRTC Nuts and Bolts is this!
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by
adalkiran
4y ago
Hi, we used for development of a browser-based video conferencing system with my team at the company I used to work for. You're right, WebRTC datachannels may be unreliable. But the nature of UDP is prone to packet loss, unordered pack
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Show HN: WebRTC Nuts and Bolts, A holistic way of understanding how WebRTC runs
(github.com)
124 points
by
adalkiran
4y ago
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36 comments