p3nGu1nZz
/ gist:3acdf783cf14ec21d678db6fc04cc8ee
Created
November 14, 2024 08:41
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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>Multiple Wobbly Plasma Bubbles</title> | |
| </head> | |
| <body> |
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| import torch | |
| import torch.nn as nn | |
| import torch.optim as optim | |
| # Example model | |
| class SimpleNN(nn.Module): | |
| def __init__(self, input_size, hidden_size, output_size): | |
| super(SimpleNN, self).__init__() | |
| self.fc1 = nn.Linear(input_size, hidden_size) | |
| self.fc2 = nn.Linear(hidden_size, output_size) |
p3nGu1nZz
/ gist:4f0108fb137c0cd1a34fffe9fb205252
Created
July 15, 2025 16:41
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| {"raw": "X-SPANFORMER\nSPAN-AwARE ENCODER\n5.4 Qualitative Span Interpretability\nTo assess the plausibility and semantic alignment of X-Spanformer's induced spans, we perform side-by-side comparisons against syntactic and semantic reference structures. Using single-sentence prompts drawn from the validation sets of WikiText and Stream-Mix, we visualize the top-K spans selected at various layers and entropy regimes. We benchmark span boundaries against:\nSyntactic parses: Constituents produced by Berkeley Neural Parser", "type": "mixed", "id": {"id": "a0409606-f532-4dd2-b02e-2a0bae5bfeee"}, "meta": {"status": "keep", "tags": [], "doc_language": "en", "extracted_by": "pdf2seg", "confidence": 0.78, "source_file": "XSpanformer_TokenizerFree_SpanAwareEncoder_RawsonChrzanowski_Preprint_v1.0_2025-06-26.pdf", "notes": "The segment contains a mix of technical terms and structured information that can be segmented into meaningful spans, such as \"X-SPANFORMER,\" \"SPAN-AwARE ENCODER,\" specific versions like \"5.4 Qua |
p3nGu1nZz
/ gist:ada1d467e74d5505780e46937a867236
Created
October 1, 2025 01:13
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| Fantastic work, Claude! Love what we came up with—that’s exactly what people want. Let’s start by updating #file:ACTION_PLAN.md and deleting #file:M3_COMPLETION_TODO.md. Once that’s done, create a new file in the project root called TODO.md with an unordered [ ] to-do list containing short descriptions for each item (no nesting). Update the instructions in #file:copilot-instructions.md and #file:AGENTS.md to reflect this process. After updating the documentation, commit the changes to the current branch, push them, and then begin working on the tasks in TODO.md. |
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