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decodingai-magazine/llm-twin-course

stable

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

awsbytewaxcomet-mlcoursedockergenerative-aiinfrastructure-as-codelarge-language-models

Velocity score

0.28/ 10

[STARS]

4.3k

[FORKS]

723

[CONTRIBUTORS]

[LAST_COMMIT]

20d ago

30-day stars

0.28/ 10 score

last 36d

[SIGNAL_TRACE / 36_PT]

Score breakdown

629/ 1000

rag · decodingai-magazine/llm-twin-course

Velocity50%

Adoption30%

Maintenance15%

Community5%

[CODE_GROWTH]

744

[INSTALL_VEL]

497

[ACTIVITY]

526

[COMMUNITY_SIGNAL]

586

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).