2026-07-108 saved articles | Back | Library |
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| A model built for deterministic tasks - Interfaze A new model architecture for deterministic tasks achieving the highest accuracy, precision and consistency for tasks like OCR, Audio understanding, Structured Data Extraction and more | |
| AI 2040: Plan A A detailed forecast and recommendation for how the US, China and the rest of the world should navigate superintelligence. | |
| Neural Cellular Automata: From Cells to Pixels Explore interactive demos of a self-organizing pattern formation model that combines Neural Cellular Automata with Neural Fields. | |
| GitHub - Emanuele-web04/Peekaboo: A tiny native macOS to-do list that reveals from your chosen screen corner. A tiny native macOS to-do list that reveals from your chosen screen corner. - Emanuele-web04/Peekaboo | |
| GitHub - jxnl/personal-monorepo-template Contribute to jxnl/personal-monorepo-template development by creating an account on GitHub. | |
| Introducing Plan A ... | |
| GitHub - stas00/ml-engineering: Machine Learning Engineering Open Book Machine Learning Engineering Open Book. Contribute to stas00/ml-engineering development by creating an account on GitHub. | |
| SelRoute: Query-Type-Aware Routing for Long-Term Conversational Memory Retrieval Retrieving relevant past interactions from long-term conversational memory typically relies on large dense retrieval models (110M–1.5B parameters) or LLM-augmented indexing. We introduce SelRoute, a framework that routes each query to a specialized retrieval pipeline — lexical, semantic, hybrid, or vocabulary-enriched — based on its query type. On LongMemEval_M (Wu et al., 2024), SelRoute achieves Recall@5 of 0.800 with bge-base-en-v1.5 (109M parameters) and 0.786 with bge-small-en-v1.5 (33M par |