๐ŸŽฎ [S27] Consistent LLM Outputs | LLM game development

Zigzag AI ยท Intermediate ยท๐Ÿง  Large Language Models ยท1y ago
Join our live coding journey as we delve into the intricacies of game development with a focus on "Echoes of Sentience"! ๐ŸŒ๐ŸŽฎ In this session, we're not just coding; we're transforming the landscape of game design. Source code of the game: https://github.com/zigzag-tech/ready-agent-one Livestack (framework used): https://github.com/zigzag-tech/livestack ๐—ฅ๐—ฒ๐—ฎ๐—น๐˜๐—ถ๐—บ๐—ฒ ๐—”๐—œ ๐˜„๐—ถ๐˜๐—ต ๐—Ÿ๐—ถ๐˜ƒ๐—ฒ๐˜€๐˜๐—ฎ๐—ฐ๐—ธ ๐Ÿš€ Immerse yourself in the power of #Livestack, our cutting-edge, soon-to-be-released #realtime AI framework, alongside #llama3 . Witness firsthand how Livestack and Llama3 make the impossiblโ€ฆ
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5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
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5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)