Results for “context engineering”

…misleading @fchollet. A comprehensive 160+ page survey on Context Engineering was shared by @omarsar0. @francoisfleuret argued that the principle of "denoising"—creating order from chaos by reversing degradation—is a powerful and…

…“stealth” model Pony Alpha is GLM-5, positioned for “agentic engineering” and long-horizon tasks (Zai_org; OpenRouterAI). Reported scaling: from 355B MoE / 32B active (GLM-4.5) to 744B / 40B active, and pretraining from 23T → 28.5T tokens…

…of costing, @teknium noted that, though costs do rise with context size, the increase isn't exponential. @euclaise shined a light on RNN memory and compute subtleties, explaining that in RNN mode, memory usage is consistent but requires…

…scaling reasoning pretraining (@ZhihuFrontier, Q&A). Agentic Context Engineering (ACE): Treats context as an evolving, structured knowledge base (not a single prompt). Uses a Generator/Reflector/Curator loop to accumulate “delta” insights; …

…to build an open ecosystem for world models @NVIDIAAI ecosystem context, @runwayml coalition announcement, @kimmonismus Cosmos thread, @ClementDelangue on NVIDIA’s HF footprint. Why Cosmos 3 mattered technically: Beyond robotics rhetoric,…

**Systematic AI engineering is all you need.** AI News for 8/16/2024-8/19/2024. We checked 7 subreddits, 384 Twitters and 29 Discords (254 channels, and 4515 messages) for you. Estimated reading time saved (at 200wpm): 489 minutes. You can …

…“closed loop” that minimizes human involvement in tech hiring. Context from comments extends the loop to engineering workflows (AI writes code; AI reviews code), implying over-reliance on automated tooling across the pipeline. Commenters…

…Discussions highlighted Llama 3.1's impressive 128k training context, making it a strong contender in model performance comparisons. Users are keen to experiment with Llama 3.1 for its multiturn capabilities. 2. Image Generation and…

…broadly reject the idea that coding agents eliminate senior engineering judgment: one incident-response example describes Claude giving misleading advice because it lacked deep system context, including domain-specific naming where an SMS…

…V4.1 Flash, alongside production-serving details that make the engineering report as important as the code.The release covers the inference engine and API-processing layer. DeepInfer supports distributed inference, speculative decoding, SWA…

…brought to web portals 20 years ago?" (73,728 impressions) Engineering & ML Techniques @svpino: "10 techniques every machine learning engineer should know: 1. Active learning 2. Distributed training 3. Error analysis 4. Invariance tests 5. …

…critiques the emerging job title of 'prompt engineer' in the context of AI and machine learning. The term 'sloperator' is a play on words, suggesting that the role is less about engineering and more about operating or managing 'slop'—a…