THE OPEN NOTEBOOK
A book for the curious.
70 chapters inside the Welvet AI engine. Start with why it exists, then follow the ideas into layers, learning, and the systems that connect them.
17 entries · Clear filters
VIII · Stubs
stub/seed
Ship topology recipes (layer seeds → He-init) without weight blobs.
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stub/serialization
Volumetric grids need JSON/ENTITY persist beyond transformer packs.
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stub/memory
HF→ENTITY and GPU upload need footprint accounting and optional history charts.
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stub/donate
LAN donors should accept framed JSON jobs without embedding HTTP in the engine.
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stub/fountain
Recover specialist weight blobs over lossy links via LT fountain codes, then ensemble.
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stub/hardware
Dispatchers and UIs need a portable host audit (OS/CPU/RAM/GPU).
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stub/accel — NPU/Metal/QNN
Vendor accelerators (Intel NPU, Qualcomm QNN, Apple Metal) will plug beside WebGPU — not replace it.
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stub/clustering
Offline clustering helpers on tensors without inventing a second math stack.
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stub/ensemble
Combine multiple model votes and find complementary specialists.
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stub/evaluation
Benchmark grids through runtime/forward with deviation metrics.
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stub/grafting
Merge grids into Parallel/Residual structures for topology experiments.
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stub/grouping
Detect layer archetypes from safetensor-style names before mounting.
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stub/introspection
UIs and FFI need to list Grid methods without hardcoding every export.
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stub/observer
Attach forward/backward observers for debugging without coupling to tanhi UDP.
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stub/pipeline
Decoder wavefront stats helpers — not a full Lucy-style pipeline runner yet.
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stub/templates
Chat prompts must match model families (ChatML, Llama3, BitNet) without app-specific string glue.
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stub/universal
Probe unknown safetensor geometry and mount placeholder grids until full weight import lands.
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