I trained a small transformer in 1.5hrs and it beats many LLMs
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→ View original sourceDramaChain Bench introduces an end‑to‑end benchmark for short‑drama generation that spans the full production pipeline—from script and storyboard to keyframe imagery, shot‑level video, and final drama—rather than focusin…
→ View original sourceEnterprises need to self‑host large language models to meet data‑residency requirements, yet supporting diverse internal applications fragments a limited GPU pool. The authors consolidate traffic from over 200 internal s…
→ View original sourcePrompt optimization can improve multi-agent LLM systems, but the prompts being optimized often serve two entangled roles: generating task-relevant content and specifying execution-critical protocols,
→ View original sourceWe present Qwen-Drive-1.0, an initial step towards a vision-language foundation model for autonomous driving. Qwen-Drive-1.0 retains the architecture of the pretrained vision-language model (VLM) and
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XHToken has released two new small language models, Spark-X2.5-4B and Spark-X2.5-1.7B, featuring a custom architecture rather than being fine-tunes of existing models. Both versions claim native 1M context window support…
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A Reddit user analyzed two months of usage data for Fable 5.1 via ccusage, finding that cache read costs account for 78% of total Claude usage. If cache read pricing drops by 75% as expected, overall costs would decrease…
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Claude AI's 2026 Prompt Engineering System
→ View original sourceThis repository offers a structured workflow for academic research using Claude Code, covering research, writing, review, revision, and finalization phases. It aims to streamline scholarly work through a systematic, iter…
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A mildly interesting video about which models can run on the Mac Mini and Studio. As expected current foundational models such as Kimi K3 1.4 TB, if they were even available to run lo
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Researchers from Princeton, Ant Group and Stanford introduced AQuA, a two‑part agentic framework for autonomous factor discovery and model development in quantitative finance. The framework separates symbolic factor disc…
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