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Is there a roadmap for combining with an open source llm hosting lib? When developers are deciding between proprietary and open source llm solutions, prompt control seems like it's one of the foremost issues(this is why people choose the "smarter" llms). The advantages to the AICI approach to prompting seems like it's ideas will make AICI(or something else like it) a clear long term winning move for the open source space, affording greater output control and enabling very focused problem solving.
As an aside, I think the Agents are currently an overhyped workflow. Even current sota llms can't be consistently trusted to generally solve problems recursively. Given this glaring issue, we need to craft workflows that can reliably squeeze every bit of problem solving out of these models. The AICI approach seems to REALLY help with the reliability. Just some thoughts...
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Is there a roadmap for combining with an open source llm hosting lib? When developers are deciding between proprietary and open source llm solutions, prompt control seems like it's one of the foremost issues(this is why people choose the "smarter" llms). The advantages to the AICI approach to prompting seems like it's ideas will make AICI(or something else like it) a clear long term winning move for the open source space, affording greater output control and enabling very focused problem solving.
https://github.com/ollama/ollama
As an aside, I think the Agents are currently an overhyped workflow. Even current sota llms can't be consistently trusted to generally solve problems recursively. Given this glaring issue, we need to craft workflows that can reliably squeeze every bit of problem solving out of these models. The AICI approach seems to REALLY help with the reliability. Just some thoughts...
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