Actually developing LLMs themselves falls more into the existing discipline of machine learning research and engineering
LLMS
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AI Engineering Establishes itself as distinct field from prompt engineering
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I think AI Engineering is already quite well established as meaning what you're trying to use context engineering for (building apps on top of LLMs), thanks to things like the AI Engineer summit/world's fair
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GPT-5 Router Architecture and Specialized Model Routing
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Something I'm slightly worried about is that GPT-5 would have a router and these would be the models that it would decide to route to. For example Zenith (based on others' examples) seems to be amazing at SVGs, while Summit/Lobster not so much
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Qwen Coder Training Similarities with Claude Sonnet
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Feels like Qwen Coder was heavily trained on Claude Sonnet
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STUN: Structured-Then-Unstructured Pruning for Scalable MoE
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STUN Structured-Then-Unstructured Pruning for Scalable MoE Pruning
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Gemini 2.5 Flash-Lite Exits Preview This Week
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… and as is so often the case with email newsletters, I spot an error just seconds after I have hit send! It was Gemini 2.5 Flash-Lite, not Gemini 2.5 Flash, which exited preview this week
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AlphaGo Moment for Model Architecture Discovery
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AlphaGo Moment for Model Architecture Discovery Liu et al.: https://
arxiv.org/abs/2507.18074 #ArtificialIntelligence #DeepLearning #MachineLearning -
AI Prompt for Social Media Strategy Planning
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8/ Social Media Strategy Planner
— God of Prompt (@godofprompt) 26 juillet 2025
Prompt:
"Develop a 30-day social media marketing strategy for a [type of business]. Include post ideas, engagement tips, and scheduling recommendations." pic.twitter.com/UCZaMpOUt78/ Social Media Strategy Planner Prompt: "Develop a 30-day social media marketing strategy for a [type of business]. Include post ideas, engagement tips, and scheduling recommendations."