persona_knowledges— knowledge metadata: name, instructions (text[]), context/operator scopepersona_knowledge_chunks— individual chunks: content (text), embedding (pgvector 384/1024), positionpersonas_knowledge_graphs— extracted entity/relationship graph per persona (single JSONB blob)
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| {"data":{"build-a-blog-in-elixir-with-nabo-and-phoenix":[{"content":"# g","created_at":"2019-01-14T08:18:53.347875Z","user":{"avatar_url":"https://avatars2.githubusercontent.com/u/26930297?v=4","name":"Kalipts","provider":"github","provider_user_url":"https://github.com/Kalipts"}}],"chet-server-lam-gi-day":[{"content":"s","created_at":"2019-06-24T13:33:26.312600Z","user":{"avatar_url":"https://avatars2.githubusercontent.com/u/35627119?v=4","name":"Juniorsz","provider":"github","provider_user_url":"https://github.com/Juniorsz"}}],"chuyen-an-cap":[{"content":"Vậy nếu vi phạm Creative Commons License thì sẽ bị 'xử lý' như thế nào vậy anh?","created_at":"2018-04-22T14:40:23.413143Z","user":{"avatar_url":"https://avatars3.githubusercontent.com/u/15165794?v=4","name":"j1nz","provider":"github","provider_user_url":"https://github.com/j1nz"}},{"content":"[@j1nz](https://github.com/j1nz) Mình cũng chả muốn \"xử lý\" làm gì cả ☹️. Mình là developer, mình không phải luật sư. Mình chúc họ cắn rứt lương tâm vậy.","created |
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| defmodule RFC822 do | |
| import NimbleParsec | |
| day = | |
| choice([ | |
| string("Mon"), | |
| string("Tue"), | |
| string("Wed"), | |
| string("Thu"), | |
| string("Fri"), |
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| [ | |
| { | |
| "source": "quan-cam.com", | |
| "url": "https://quan-cam.com/rss", | |
| "category": "personal" | |
| }, | |
| { | |
| "source": "medium.com/@hqc", | |
| "url": "https://medium.com/feed/@hqc", | |
| "category": "personal" |
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| defmodule GCounter.Node do | |
| use GenServer | |
| def start_link(node_name) do | |
| GenServer.start_link(__MODULE__, node_name, [name: node_name]) | |
| end | |
| @impl true | |
| def init(node_name) do | |
| init_counter = %{node_name => 0} |
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| require "msgpack" | |
| class DateTimeExtension | |
| def self.unpack(data) | |
| case data.size | |
| when 4 | |
| seconds = data.unpack("N")[0] | |
| Time.at(seconds).utc | |
| when 8 |
Model: https://huggingface.co/nvidia/nemotron-3.5-asr-streaming-0.6b
- Architecture: Cache-Aware FastConformer encoder (24 layers) + RNNT decoder, 600M params — streaming with configurable 80ms–1120ms chunk latency
- Formats: safetensors, PyTorch, GGUF (q8_0) via NeMo-Speech.cpp (C++ runtime)
- Official hardware/OS support: NVIDIA GPU archs only (Ampere/Blackwell/Hopper/Jetson/Lovelace/Turing/Volta), Linux / Linux4Tegra. No ONNX, Core ML, or TFLite export path officially provided. No mobile or web runtime published.
- 40 language-locales, license OpenMDW-1.1
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