▲ 61 ▼ :( Linux Kernel Developers Consider Adding AGENTS.md To Help Guide AI/LLM Agents (www.phoronix.com) submitted 3 weeks ago by Gyrcas@piefed.zip to c/fuck_ai@lemmy.world 15 comments fedilink hide all child comments cross-posted from: https://piefed.zip/c/linux@lemmy.ml/p/1856095/linux-kernel-developers-consider-adding-agents-md-to-help-guide-ai-llm-agents
[–] prex@aussie.zone 32 points 3 weeks ago (4 children) ...making AI/LLMs consume the entire Linux kernel README and associated documentation would increase token consumption permalink fedilink source parent hideshow 4 child comments replies: [–] corsicanguppy@lemmy.ca 4 points 3 weeks ago* Perfect. permalink fedilink source parent [–] red_tomato@lemmy.world 2 points 3 weeks ago (2 children) Not necessarily. Input tokens is far cheaper than output tokens. The alternative is to have the LLM derive the documentation from code each session, which is expensive due to the amount of output tokens it produces. permalink fedilink source parent hideshow 2 child comments replies: [–] prex@aussie.zone 3 points 3 weeks ago (1 child) Are people using LLMs to derive readme's from source code!? I think they might be the target audience here. permalink fedilink source parent hideshow 1 child comment replies: [–] red_tomato@lemmy.world 2 points 3 weeks ago More like indirectly. For an LLM to effectively work with a codebase it needs to know how the project is structured and where to find stuff. Instead of having it derive this information each session, it can just read about it in the available documentation. It’s more token efficient. permalink fedilink source parent
[–] red_tomato@lemmy.world 2 points 3 weeks ago (2 children) Not necessarily. Input tokens is far cheaper than output tokens. The alternative is to have the LLM derive the documentation from code each session, which is expensive due to the amount of output tokens it produces. permalink fedilink source parent hideshow 2 child comments replies: [–] prex@aussie.zone 3 points 3 weeks ago (1 child) Are people using LLMs to derive readme's from source code!? I think they might be the target audience here. permalink fedilink source parent hideshow 1 child comment replies: [–] red_tomato@lemmy.world 2 points 3 weeks ago More like indirectly. For an LLM to effectively work with a codebase it needs to know how the project is structured and where to find stuff. Instead of having it derive this information each session, it can just read about it in the available documentation. It’s more token efficient. permalink fedilink source parent
[–] prex@aussie.zone 3 points 3 weeks ago (1 child) Are people using LLMs to derive readme's from source code!? I think they might be the target audience here. permalink fedilink source parent hideshow 1 child comment replies: [–] red_tomato@lemmy.world 2 points 3 weeks ago More like indirectly. For an LLM to effectively work with a codebase it needs to know how the project is structured and where to find stuff. Instead of having it derive this information each session, it can just read about it in the available documentation. It’s more token efficient. permalink fedilink source parent
[–] red_tomato@lemmy.world 2 points 3 weeks ago More like indirectly. For an LLM to effectively work with a codebase it needs to know how the project is structured and where to find stuff. Instead of having it derive this information each session, it can just read about it in the available documentation. It’s more token efficient. permalink fedilink source parent