#context-windows

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fromInfoWorld
1 day ago

Four important lessons about context engineering

Context engineering has emerged as one of the most critical skills in working with large language models (LLMs). While much attention has been paid to prompt engineering, the art and science of managing context-i.e., the information the model has access to when generating responses-often determines the difference between mediocre and exceptional AI applications. After years of building with LLMs, we've learned that context isn't just about stuffing as much information as possible into a prompt.
Artificial intelligence
fromZDNET
1 week ago

OpenAI's Codex Max solves one of my biggest AI coding annoyances - and adds dramatically faster performance

Following a week of major AI programming announcements from Microsoft and Google, OpenAI has joined in the fun. Today, OpenAI is announcing a new version of Codex, its programming-focused AI model. While the announcement was today, the actual GPT-5.1-Codex-Max capability will be available tomorrow in Codex for ChatGPT Plus, Pro, Business, Edu, and Enterprise users. API access is "coming soon." OpenAI says the new Max model "replaces GPT-5.1-Codex as the recommended model for agentic coding tasks in Codex and Codex-like environments."
Tech industry
Artificial intelligence
fromFortune
1 month ago

DeepSeek's new model sees text differently, opening new possibilities for enterprise AI | Fortune

DeepSeek's OCR approach converts text into images to compress information, enabling up to tenfold input efficiency and much larger LLM context windows.
fromMedium
4 months ago

11 lessons from a year of using AI in my daily work

Context windows are huge and using them well has been a difference-maker for me. I get the best results when I have one conversation for each project.
Artificial intelligence
Artificial intelligence
fromHackernoon
2 years ago

GPT-4.1's 1M-token Context Window is Impressive but Insufficient for Real-world Use Cases | HackerNoon

Large context windows in AI are attractive but come with hidden costs and complexities that impact their practical usability.
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