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LMQL #3460
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I've read into it and am more than happy to get started on it. Where do you see it, as of now, would it have the most benefit to the project? |
@AbTrax by restructuring the prompts using LMQL we might be able to greatly reduce the number of JSON errors. |
Question is, can this also be used to identify true relevant data points that can be used as memory mets data |
Hello, is the current architecture implementing LMQL ? |
@khongminhtn no, see the description under Current Status |
This issue has automatically been marked as stale because it has not had any activity in the last 50 days. You can unstale it by commenting or removing the label. Otherwise, this issue will be closed in 10 days. |
This issue has automatically been marked as stale because it has not had any activity in the last 50 days. You can unstale it by commenting or removing the label. Otherwise, this issue will be closed in 10 days. |
This issue was closed automatically because it has been stale for 10 days with no activity. |
Current status
While we consider LMQL to be a powerful tool to supercharge interaction with text-only LLMs, it currently doesn't suit all needs of the project.
The landscape of LLMs is rapidly evolving, with OpenAI announcing only yesterday that their GPT-3.5 and GPT-4 models are being enhanced with a function calling interface. This feature has the potential to solve multiple current issues in Auto-GPT. LMQL doesn't currently have support for this feature, and adding support may be a challenge as other LLMs do not provide a similar interface.
We need high observability of interaction with the LLM, which LMQL currently does not offer.
Resources
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