Don't offload how your company operates to some sort of RAG search of every document in your shared storage. Make choices about what kinds of context you need.
PROMPT ENGINEERING
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Context Engineering: Beyond Technical Implementation
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Context engineering cannot & must not be a solely technical function "Context" is actually how your company operates; the ideal versions of your reports, documents & processes that the AI can use as a model; the tone & voice of your organization. It is a cross-functional problem
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O3 Pro Prompt Compatibility with Non-Reasoning Models
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Most o3 prompts will work great for o3 pro! However, this prompt is for non-reasoning models.
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Prompt Engineering Essential for Marketers Leveraging AI
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Now you don't need marketers.
You need to know how to write good prompts. And if you are a marketer, you must learn how to leverage AI for your work. Otherwise, you are definitely going to lose your job. -
Using Claude 4 Sonnet AI for Automated Marketing Tasks
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Claude 4 Sonnet is insanely powerful. I wrote one mega prompt and now it do: • Market research
• Content creation
• Writing viral ad copy
• SEO optimization
• Campaign planning All in few seconds. Here's the exact mega prompt we use to automate our marketing tasks: -
Distinguishing between simple prompts and complex application contexts
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Haha I'm not trying to coin a new word or something. I just think people's use of "prompt" tends to (incorrectly) trivialize a rather complex component. You prompt an LLM to tell you why the sky is blue. But apps build contexts (meticulously) for LLMs to solve their custom tasks.
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Context Engineering Over Prompt Engineering in Industrial LLM Applications
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+1 for "context engineering" over "prompt engineering". People associate prompts with short task descriptions you'd give an LLM in your day-to-day use. When in every industrial-strength LLM app, context engineering is the delicate art and science of filling the context window
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Gen-4 References Updated: Enhanced Object Consistency and Prompt Adherence
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We have released an updated version of Gen-4 References that significantly improves object consistency and prompt adherence. Available now for all users.
— Runway (@runwayml) 25 juin 2025
(1/3) pic.twitter.com/MUz3KWhB9qWe have released an updated version of Gen-4 References that significantly improves object consistency and prompt adherence. Available now for all users. (1/3)
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Schedule Weekly Blog Posts with AI-Powered Automation
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You can set up a schedule. We recommend once a week Give it a lot of direction on what type of content you are looking and also include promotional material about your business Automate the blog posting workflow in one prompt!
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GRPO 1.3B Model Achieves Best Performance Edge Applications
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For edge applications (it's a 1B model!), this is not enough. We need more concise traces. With a 4k token budget, the GRPO (LFM-1.3B-Math) model achieves best-in-class performance. Note that it only cost us a few points on average at the 32k token setting.