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๐๐๐ซ๐โ๐ฌ ๐ ๐ช๐ฎ๐ข๐๐ค ๐๐ซ๐๐๐ค๐๐จ๐ฐ๐ง ๐๐ซ๐จ๐ฆ ๐ญ๐ก๐ ๐ญ๐จ๐ฉ ๐๐ซ๐๐ง๐ฌ๐๐จ๐ซ๐ฆ๐๐ซ๐ฌ ๐๐ง๐ญ๐๐ซ๐ฏ๐ข๐๐ฐ ๐๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง๐ฌ ๐ฅ๐โฃโฃ
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โ ๐๐ฉ๐ข๐ต ๐ช๐ด ๐ข ๐๐ณ๐ข๐ฏ๐ด๐ง๐ฐ๐ณ๐ฎ๐ฆ๐ณ ๐ข๐ฏ๐ฅ ๐ธ๐ฉ๐บ ๐ธ๐ข๐ด ๐ช๐ต ๐ช๐ฏ๐ต๐ณ๐ฐ๐ฅ๐ถ๐ค๐ฆ๐ฅ?โฃโฃ
๐๐ต ๐ด๐ฐ๐ญ๐ท๐ฆ๐ฅ ๐ต๐ฉ๐ฆ ๐ญ๐ช๐ฎ๐ช๐ต๐ข๐ต๐ช๐ฐ๐ฏ๐ด ๐ฐ๐ง ๐๐๐๐ด & ๐๐๐๐๐ด ๐ฃ๐บ ๐ถ๐ด๐ช๐ฏ๐จ ๐ด๐ฆ๐ญ๐ง-๐ข๐ต๐ต๐ฆ๐ฏ๐ต๐ช๐ฐ๐ฏ, ๐ฆ๐ฏ๐ข๐ฃ๐ญ๐ช๐ฏ๐จ ๐ฑ๐ข๐ณ๐ข๐ญ๐ญ๐ฆ๐ญ ๐ฑ๐ณ๐ฐ๐ค๐ฆ๐ด๐ด๐ช๐ฏ๐จ ๐ข๐ฏ๐ฅ ๐ค๐ข๐ฑ๐ต๐ถ๐ณ๐ช๐ฏ๐จ ๐ญ๐ฐ๐ฏ๐จ-๐ณ๐ข๐ฏ๐จ๐ฆ ๐ฅ๐ฆ๐ฑ๐ฆ๐ฏ๐ฅ๐ฆ๐ฏ๐ค๐ช๐ฆ๐ด ๐ญ๐ช๐ฌ๐ฆ ๐ฏ๐ฆ๐ท๐ฆ๐ณ ๐ฃ๐ฆ๐ง๐ฐ๐ณ๐ฆ!โฃโฃ
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โ ๐๐ฆ๐ญ๐ง-๐๐ต๐ต๐ฆ๐ฏ๐ต๐ช๐ฐ๐ฏ โ ๐๐ฉ๐ฆ ๐ฎ๐ข๐จ๐ช๐ค ๐ฃ๐ฆ๐ฉ๐ช๐ฏ๐ฅ ๐ช๐ตโฃโฃ
๐๐ท๐ฆ๐ณ๐บ ๐ธ๐ฐ๐ณ๐ฅ ๐ถ๐ฏ๐ฅ๐ฆ๐ณ๐ด๐ต๐ข๐ฏ๐ฅ๐ด ๐ช๐ต๐ด ๐ค๐ฐ๐ฏ๐ต๐ฆ๐น๐ต ๐ช๐ฏ ๐ณ๐ฆ๐ญ๐ข๐ต๐ช๐ฐ๐ฏ ๐ต๐ฐ ๐ฐ๐ต๐ฉ๐ฆ๐ณ๐ดโ๐ฎ๐ข๐ฌ๐ช๐ฏ๐จ ๐ฆ๐ฎ๐ฃ๐ฆ๐ฅ๐ฅ๐ช๐ฏ๐จ๐ด ๐ด๐ฎ๐ข๐ณ๐ต๐ฆ๐ณ ๐ข๐ฏ๐ฅ ๐ฎ๐ฐ๐ฅ๐ฆ๐ญ๐ด ๐ฎ๐ฐ๐ณ๐ฆ ๐ค๐ฐ๐ฏ๐ต๐ฆ๐น๐ต-๐ข๐ธ๐ข๐ณ๐ฆ.โฃโฃ
โฃโฃ
โ ๐๐ถ๐ญ๐ต๐ช-๐๐ฆ๐ข๐ฅ ๐๐ต๐ต๐ฆ๐ฏ๐ต๐ช๐ฐ๐ฏ โ ๐๐ฆ๐ฆ๐ช๐ฏ๐จ ๐ง๐ณ๐ฐ๐ฎ ๐ฎ๐ถ๐ญ๐ต๐ช๐ฑ๐ญ๐ฆ ๐ข๐ฏ๐จ๐ญ๐ฆ๐ดโฃโฃ
๐๐ช๐ง๐ง๐ฆ๐ณ๐ฆ๐ฏ๐ต ๐ข๐ต๐ต๐ฆ๐ฏ๐ต๐ช๐ฐ๐ฏ ๐ฉ๐ฆ๐ข๐ฅ๐ด ๐ง๐ฐ๐ค๐ถ๐ด ๐ฐ๐ฏ ๐ฅ๐ช๐ง๐ง๐ฆ๐ณ๐ฆ๐ฏ๐ต ๐ณ๐ฆ๐ญ๐ข๐ต๐ช๐ฐ๐ฏ๐ด๐ฉ๐ช๐ฑ๐ด ๐ช๐ฏ ๐ต๐ฉ๐ฆ ๐ฅ๐ข๐ต๐ข. ๐๐ตโ๐ด ๐ญ๐ช๐ฌ๐ฆ ๐ฉ๐ข๐ท๐ช๐ฏ๐จ ๐ฎ๐ถ๐ญ๐ต๐ช๐ฑ๐ญ๐ฆ ๐ฆ๐น๐ฑ๐ฆ๐ณ๐ต๐ด ๐ข๐ฏ๐ข๐ญ๐บ๐ป๐ฆ ๐ต๐ฉ๐ฆ ๐ด๐ข๐ฎ๐ฆ ๐ช๐ฏ๐ง๐ฐ๐ณ๐ฎ๐ข๐ต๐ช๐ฐ๐ฏ!โฃโฃ
โฃโฃ
โ ๐๐ฐ๐ด๐ช๐ต๐ช๐ฐ๐ฏ๐ข๐ญ ๐๐ฏ๐ค๐ฐ๐ฅ๐ช๐ฏ๐จ โ ๐๐ฆ๐ข๐ค๐ฉ๐ช๐ฏ๐จ ๐ต๐ฉ๐ฆ ๐ฎ๐ฐ๐ฅ๐ฆ๐ญ ๐ฐ๐ณ๐ฅ๐ฆ๐ณ ๐ฎ๐ข๐ต๐ต๐ฆ๐ณ๐ดโฃโฃ
๐๐ช๐ฏ๐ค๐ฆ ๐๐ณ๐ข๐ฏ๐ด๐ง๐ฐ๐ณ๐ฎ๐ฆ๐ณ๐ด ๐ฅ๐ฐ๐ฏโ๐ต ๐ฑ๐ณ๐ฐ๐ค๐ฆ๐ด๐ด ๐ฅ๐ข๐ต๐ข ๐ด๐ฆ๐ฒ๐ถ๐ฆ๐ฏ๐ต๐ช๐ข๐ญ๐ญ๐บ, ๐ต๐ฉ๐ช๐ด ๐ต๐ณ๐ช๐ค๐ฌ ๐ฆ๐ฏ๐ด๐ถ๐ณ๐ฆ๐ด ๐ต๐ฉ๐ฆ๐บ โ๐ฌ๐ฏ๐ฐ๐ธโ ๐ต๐ฉ๐ฆ ๐ฑ๐ฐ๐ด๐ช๐ต๐ช๐ฐ๐ฏ ๐ฐ๐ง ๐ฆ๐ข๐ค๐ฉ ๐ต๐ฐ๐ฌ๐ฆ๐ฏ.โฃโฃ
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โ ๐๐ข๐บ๐ฆ๐ณ ๐๐ฐ๐ณ๐ฎ๐ข๐ญ๐ช๐ป๐ข๐ต๐ช๐ฐ๐ฏ โ ๐๐ต๐ข๐ฃ๐ช๐ญ๐ช๐ป๐ช๐ฏ๐จ ๐ต๐ฉ๐ฆ ๐ญ๐ฆ๐ข๐ณ๐ฏ๐ช๐ฏ๐จ ๐ฑ๐ณ๐ฐ๐ค๐ฆ๐ด๐ดโฃโฃ
๐๐ต ๐ด๐ฑ๐ฆ๐ฆ๐ฅ๐ด ๐ถ๐ฑ ๐ต๐ณ๐ข๐ช๐ฏ๐ช๐ฏ๐จ ๐ข๐ฏ๐ฅ ๐ข๐ท๐ฐ๐ช๐ฅ๐ด ๐ท๐ข๐ฏ๐ช๐ด๐ฉ๐ช๐ฏ๐จ ๐จ๐ณ๐ข๐ฅ๐ช๐ฆ๐ฏ๐ต๐ด, ๐ญ๐ฆ๐ต๐ต๐ช๐ฏ๐จ ๐ฎ๐ฐ๐ฅ๐ฆ๐ญ๐ด ๐จ๐ฐ ๐ฅ๐ฆ๐ฆ๐ฑ๐ฆ๐ณ ๐ข๐ฏ๐ฅ ๐ญ๐ฆ๐ข๐ณ๐ฏ ๐ฃ๐ฆ๐ต๐ต๐ฆ๐ณ.โฃโฃ
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โ ๐๐ฉ๐ข๐ต ๐ช๐ด ๐ข ๐๐ณ๐ข๐ฏ๐ด๐ง๐ฐ๐ณ๐ฎ๐ฆ๐ณ ๐ข๐ฏ๐ฅ ๐ธ๐ฉ๐บ ๐ธ๐ข๐ด ๐ช๐ต ๐ช๐ฏ๐ต๐ณ๐ฐ๐ฅ๐ถ๐ค๐ฆ๐ฅ?โฃโฃ
๐๐ต ๐ด๐ฐ๐ญ๐ท๐ฆ๐ฅ ๐ต๐ฉ๐ฆ ๐ญ๐ช๐ฎ๐ช๐ต๐ข๐ต๐ช๐ฐ๐ฏ๐ด ๐ฐ๐ง ๐๐๐๐ด & ๐๐๐๐๐ด ๐ฃ๐บ ๐ถ๐ด๐ช๐ฏ๐จ ๐ด๐ฆ๐ญ๐ง-๐ข๐ต๐ต๐ฆ๐ฏ๐ต๐ช๐ฐ๐ฏ, ๐ฆ๐ฏ๐ข๐ฃ๐ญ๐ช๐ฏ๐จ ๐ฑ๐ข๐ณ๐ข๐ญ๐ญ๐ฆ๐ญ ๐ฑ๐ณ๐ฐ๐ค๐ฆ๐ด๐ด๐ช๐ฏ๐จ ๐ข๐ฏ๐ฅ ๐ค๐ข๐ฑ๐ต๐ถ๐ณ๐ช๐ฏ๐จ ๐ญ๐ฐ๐ฏ๐จ-๐ณ๐ข๐ฏ๐จ๐ฆ ๐ฅ๐ฆ๐ฑ๐ฆ๐ฏ๐ฅ๐ฆ๐ฏ๐ค๐ช๐ฆ๐ด ๐ญ๐ช๐ฌ๐ฆ ๐ฏ๐ฆ๐ท๐ฆ๐ณ ๐ฃ๐ฆ๐ง๐ฐ๐ณ๐ฆ!โฃโฃ
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โ ๐๐ฆ๐ญ๐ง-๐๐ต๐ต๐ฆ๐ฏ๐ต๐ช๐ฐ๐ฏ โ ๐๐ฉ๐ฆ ๐ฎ๐ข๐จ๐ช๐ค ๐ฃ๐ฆ๐ฉ๐ช๐ฏ๐ฅ ๐ช๐ตโฃโฃ
๐๐ท๐ฆ๐ณ๐บ ๐ธ๐ฐ๐ณ๐ฅ ๐ถ๐ฏ๐ฅ๐ฆ๐ณ๐ด๐ต๐ข๐ฏ๐ฅ๐ด ๐ช๐ต๐ด ๐ค๐ฐ๐ฏ๐ต๐ฆ๐น๐ต ๐ช๐ฏ ๐ณ๐ฆ๐ญ๐ข๐ต๐ช๐ฐ๐ฏ ๐ต๐ฐ ๐ฐ๐ต๐ฉ๐ฆ๐ณ๐ดโ๐ฎ๐ข๐ฌ๐ช๐ฏ๐จ ๐ฆ๐ฎ๐ฃ๐ฆ๐ฅ๐ฅ๐ช๐ฏ๐จ๐ด ๐ด๐ฎ๐ข๐ณ๐ต๐ฆ๐ณ ๐ข๐ฏ๐ฅ ๐ฎ๐ฐ๐ฅ๐ฆ๐ญ๐ด ๐ฎ๐ฐ๐ณ๐ฆ ๐ค๐ฐ๐ฏ๐ต๐ฆ๐น๐ต-๐ข๐ธ๐ข๐ณ๐ฆ.โฃโฃ
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โ ๐๐ถ๐ญ๐ต๐ช-๐๐ฆ๐ข๐ฅ ๐๐ต๐ต๐ฆ๐ฏ๐ต๐ช๐ฐ๐ฏ โ ๐๐ฆ๐ฆ๐ช๐ฏ๐จ ๐ง๐ณ๐ฐ๐ฎ ๐ฎ๐ถ๐ญ๐ต๐ช๐ฑ๐ญ๐ฆ ๐ข๐ฏ๐จ๐ญ๐ฆ๐ดโฃโฃ
๐๐ช๐ง๐ง๐ฆ๐ณ๐ฆ๐ฏ๐ต ๐ข๐ต๐ต๐ฆ๐ฏ๐ต๐ช๐ฐ๐ฏ ๐ฉ๐ฆ๐ข๐ฅ๐ด ๐ง๐ฐ๐ค๐ถ๐ด ๐ฐ๐ฏ ๐ฅ๐ช๐ง๐ง๐ฆ๐ณ๐ฆ๐ฏ๐ต ๐ณ๐ฆ๐ญ๐ข๐ต๐ช๐ฐ๐ฏ๐ด๐ฉ๐ช๐ฑ๐ด ๐ช๐ฏ ๐ต๐ฉ๐ฆ ๐ฅ๐ข๐ต๐ข. ๐๐ตโ๐ด ๐ญ๐ช๐ฌ๐ฆ ๐ฉ๐ข๐ท๐ช๐ฏ๐จ ๐ฎ๐ถ๐ญ๐ต๐ช๐ฑ๐ญ๐ฆ ๐ฆ๐น๐ฑ๐ฆ๐ณ๐ต๐ด ๐ข๐ฏ๐ข๐ญ๐บ๐ป๐ฆ ๐ต๐ฉ๐ฆ ๐ด๐ข๐ฎ๐ฆ ๐ช๐ฏ๐ง๐ฐ๐ณ๐ฎ๐ข๐ต๐ช๐ฐ๐ฏ!โฃโฃ
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โ ๐๐ฐ๐ด๐ช๐ต๐ช๐ฐ๐ฏ๐ข๐ญ ๐๐ฏ๐ค๐ฐ๐ฅ๐ช๐ฏ๐จ โ ๐๐ฆ๐ข๐ค๐ฉ๐ช๐ฏ๐จ ๐ต๐ฉ๐ฆ ๐ฎ๐ฐ๐ฅ๐ฆ๐ญ ๐ฐ๐ณ๐ฅ๐ฆ๐ณ ๐ฎ๐ข๐ต๐ต๐ฆ๐ณ๐ดโฃโฃ
๐๐ช๐ฏ๐ค๐ฆ ๐๐ณ๐ข๐ฏ๐ด๐ง๐ฐ๐ณ๐ฎ๐ฆ๐ณ๐ด ๐ฅ๐ฐ๐ฏโ๐ต ๐ฑ๐ณ๐ฐ๐ค๐ฆ๐ด๐ด ๐ฅ๐ข๐ต๐ข ๐ด๐ฆ๐ฒ๐ถ๐ฆ๐ฏ๐ต๐ช๐ข๐ญ๐ญ๐บ, ๐ต๐ฉ๐ช๐ด ๐ต๐ณ๐ช๐ค๐ฌ ๐ฆ๐ฏ๐ด๐ถ๐ณ๐ฆ๐ด ๐ต๐ฉ๐ฆ๐บ โ๐ฌ๐ฏ๐ฐ๐ธโ ๐ต๐ฉ๐ฆ ๐ฑ๐ฐ๐ด๐ช๐ต๐ช๐ฐ๐ฏ ๐ฐ๐ง ๐ฆ๐ข๐ค๐ฉ ๐ต๐ฐ๐ฌ๐ฆ๐ฏ.โฃโฃ
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โ ๐๐ข๐บ๐ฆ๐ณ ๐๐ฐ๐ณ๐ฎ๐ข๐ญ๐ช๐ป๐ข๐ต๐ช๐ฐ๐ฏ โ ๐๐ต๐ข๐ฃ๐ช๐ญ๐ช๐ป๐ช๐ฏ๐จ ๐ต๐ฉ๐ฆ ๐ญ๐ฆ๐ข๐ณ๐ฏ๐ช๐ฏ๐จ ๐ฑ๐ณ๐ฐ๐ค๐ฆ๐ด๐ดโฃโฃ
๐๐ต ๐ด๐ฑ๐ฆ๐ฆ๐ฅ๐ด ๐ถ๐ฑ ๐ต๐ณ๐ข๐ช๐ฏ๐ช๐ฏ๐จ ๐ข๐ฏ๐ฅ ๐ข๐ท๐ฐ๐ช๐ฅ๐ด ๐ท๐ข๐ฏ๐ช๐ด๐ฉ๐ช๐ฏ๐จ ๐จ๐ณ๐ข๐ฅ๐ช๐ฆ๐ฏ๐ต๐ด, ๐ญ๐ฆ๐ต๐ต๐ช๐ฏ๐จ ๐ฎ๐ฐ๐ฅ๐ฆ๐ญ๐ด ๐จ๐ฐ ๐ฅ๐ฆ๐ฆ๐ฑ๐ฆ๐ณ ๐ข๐ฏ๐ฅ ๐ญ๐ฆ๐ข๐ณ๐ฏ ๐ฃ๐ฆ๐ต๐ต๐ฆ๐ณ.โฃโฃ
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๐ How to Facilitate Effective AI Programming
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2025-12-29 | โฑ๏ธ Read time: 7 min read
How to ensure your coding agent has the same context as you
#DataScience #AI #Python
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2025-12-29 | โฑ๏ธ Read time: 7 min read
How to ensure your coding agent has the same context as you
#DataScience #AI #Python
๐ Machine Learning vs AI Engineer: What Are the Differences?
๐ Category: CAREER ADVICE
๐ Date: 2025-12-29 | โฑ๏ธ Read time: 7 min read
One of the most confusing questions in tech right now is: What is the differenceโฆ
#DataScience #AI #Python
๐ Category: CAREER ADVICE
๐ Date: 2025-12-29 | โฑ๏ธ Read time: 7 min read
One of the most confusing questions in tech right now is: What is the differenceโฆ
#DataScience #AI #Python
โค1
๐ Implementing Vibe Proving with Reinforcement Learning
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2025-12-29 | โฑ๏ธ Read time: 9 min read
How to make LLMs reason with verifiable, step-by-step logic (Part 2)
#DataScience #AI #Python
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2025-12-29 | โฑ๏ธ Read time: 9 min read
How to make LLMs reason with verifiable, step-by-step logic (Part 2)
#DataScience #AI #Python
โค1
๐ Overcoming Nonsmoothness and Control Chattering in Nonconvex Optimal Control Problems
๐ Category: ROBOTICS
๐ Date: 2025-12-30 | โฑ๏ธ Read time: 17 min read
With some hints for good numerics
#DataScience #AI #Python
๐ Category: ROBOTICS
๐ Date: 2025-12-30 | โฑ๏ธ Read time: 17 min read
With some hints for good numerics
#DataScience #AI #Python
๐ The Machine Learning โAdvent Calendarโ Bonus 1: AUC in Excel
๐ Category: MACHINE LEARNING
๐ Date: 2025-12-30 | โฑ๏ธ Read time: 8 min read
AUC measures how well a model ranks positives above negatives, independent of any chosen threshold.
#DataScience #AI #Python
๐ Category: MACHINE LEARNING
๐ Date: 2025-12-30 | โฑ๏ธ Read time: 8 min read
AUC measures how well a model ranks positives above negatives, independent of any chosen threshold.
#DataScience #AI #Python
Forwarded from Machine Learning with Python
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๐ Agents Under the Curve (AUC)
๐ Category: AGENTIC AI
๐ Date: 2025-12-30 | โฑ๏ธ Read time: 15 min read
Towards understanding if your agentic solution is actually better
#DataScience #AI #Python
๐ Category: AGENTIC AI
๐ Date: 2025-12-30 | โฑ๏ธ Read time: 15 min read
Towards understanding if your agentic solution is actually better
#DataScience #AI #Python
โค2
๐ Production-Ready LLMs Made Simple with the NeMo Agent Toolkit
๐ Category: AGENTIC AI
๐ Date: 2025-12-31 | โฑ๏ธ Read time: 23 min read
From simple chat to multi-agent reasoning and real-time REST APIs
#DataScience #AI #Python
๐ Category: AGENTIC AI
๐ Date: 2025-12-31 | โฑ๏ธ Read time: 23 min read
From simple chat to multi-agent reasoning and real-time REST APIs
#DataScience #AI #Python
๐ What Advent of Code Has Taught Me About Data Science
๐ Category: PROGRAMMING
๐ Date: 2025-12-31 | โฑ๏ธ Read time: 10 min read
Five key learnings that I discovered during a programming challenge and how they apply toโฆ
#DataScience #AI #Python
๐ Category: PROGRAMMING
๐ Date: 2025-12-31 | โฑ๏ธ Read time: 10 min read
Five key learnings that I discovered during a programming challenge and how they apply toโฆ
#DataScience #AI #Python
๐ Chunk Size as an Experimental Variable in RAG Systems
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2025-12-31 | โฑ๏ธ Read time: 12 min read
Understanding retrieval in RAG systems by experimenting with different chunk sizes
#DataScience #AI #Python
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2025-12-31 | โฑ๏ธ Read time: 12 min read
Understanding retrieval in RAG systems by experimenting with different chunk sizes
#DataScience #AI #Python
๐ The Machine Learning โAdvent Calendarโ Bonus 2: Gradient Descent Variants in Excel
๐ Category: MACHINE LEARNING
๐ Date: 2025-12-31 | โฑ๏ธ Read time: 8 min read
Gradient Descent, Momentum, RMSProp, and Adam all aim for the same minimum. They do notโฆ
#DataScience #AI #Python
๐ Category: MACHINE LEARNING
๐ Date: 2025-12-31 | โฑ๏ธ Read time: 8 min read
Gradient Descent, Momentum, RMSProp, and Adam all aim for the same minimum. They do notโฆ
#DataScience #AI #Python
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