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The physics behind Flow Matching models
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1
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0
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12 April 2026
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Subham Sahoo: The Future of Discrete Diffusion
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0
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0
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8 April 2026
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How is hardware reshaping LLM design?
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1
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0
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3 March 2026
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Why are diffusion LLMs so fast?
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1
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2
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9 February 2026
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An image is NxN words | Transformers in vision: ViT, DiT, MMDiT
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1
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1
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3 February 2026
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The relationship between convolution & self-attention
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1
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4
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14 January 2026
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Why are Transformers replacing CNNs?
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1
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5
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1 December 2025
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Inside a Real RAG Pipeline (Continua AI Case Study)
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1
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19
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17 November 2025
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David Petrou: Building social AI after 17 years at Google
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0
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1
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8 November 2025
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Transformers & Diffusion LLMs: What's the connection?
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1
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9
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6 November 2025
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Text diffusion: A new paradigm for LLMs
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1
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11
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6 October 2025
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Hierarchical Reasoning Model: Substance or Hype?
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1
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14
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8 September 2025
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The physics behind diffusion models
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1
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10
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18 August 2025
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Reverse-engineering GGUF | Post-Training Quantization
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1
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4
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18 July 2025
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Training models with only 4 bits | Fully-Quantized Training
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1
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9
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19 June 2025
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How LLMs survive in low precision | Quantization Fundamentals
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1
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4
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19 May 2025
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