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22365_3_Prompt Engineering_v7 (1)
The content covers prompt engineering for large language models, including techniques, output configurations, and best practices to optimize prompts for various tasks while enhancing model performance and response accuracy.
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With many 🧩 dropping recently, a more complete picture is emerging of LLMs not as a chatbot, but the kernel process of a new Operating System. E.g. today it orchestrates:
- Input & Output across modalities (text, audio, vision)
- Code interpreter, ability to write & run… Show more
Here's what @browsercompany's AI eng & ML teams are working on for @diabrowser right now:
(This is a pitch to come work for us; info at end)
🤖 COMPUTER USE – we've built our own bespoke APIs on top of Chromium to optimize latency, accuracy, and cost of computer-using agents. Demo attached. ... See more
Josh Millerx.com