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www.alexstrick.com
| | mlops.systems
25.3 parsecs away

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| | Some initial fast impressions of Google Deepmind's new iteration of Gemini Deep Research that uses their 2.5 Pro model.
| | mlops.systems
17.2 parsecs away

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| | A detailed breakdown of Chapter 6 from 'Prompt Engineering for LLMs,' examining prompt structure, document types, and optimization strategies for effective prompt engineering, with practical tips on information positioning and context selection within prompts.
| | deepmind.google
129.5 parsecs away

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| | We ask the question: "What is the optimal model size and number of training tokens for a given compute budget?" To answer this question, we train models of various sizes and with various numbers...
| | michaelharley.net
97.8 parsecs away

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| Software developer and team lead working remotely from Richmond, VA. Loves solving problems, grilling, tinkering with Home Assistant, metal shows, and his cats.