From 9de42c3ee989afcb3663d5548f3d97dc8110d7ff Mon Sep 17 00:00:00 2001 From: Shixian Sheng Date: Sun, 19 May 2024 22:04:11 -0400 Subject: [PATCH] docs: Update README.md (#1396) --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 2f070c21..23a03a26 100644 --- a/README.md +++ b/README.md @@ -90,7 +90,7 @@ MemGPT is designed to be model and provider agnostic. The following LLM and embe When using MemGPT with open LLMs (such as those downloaded from HuggingFace), the performance of MemGPT will be highly dependent on the LLM's function calling ability. You can find a list of LLMs/models that are known to work well with MemGPT on the [#model-chat channel on Discord](https://discord.gg/9GEQrxmVyE), as well as on [this spreadsheet](https://docs.google.com/spreadsheets/d/1fH-FdaO8BltTMa4kXiNCxmBCQ46PRBVp3Vn6WbPgsFs/edit?usp=sharing). ## How to Get Involved -* **Contribute to the Project**: Interested in contributing? Start by reading our [Contribution Guidelines](CONTRIBUTING.md). +* **Contribute to the Project**: Interested in contributing? Start by reading our [Contribution Guidelines](https://github.com/cpacker/MemGPT/tree/main/CONTRIBUTING.md). * **Ask a Question**: Join our community on [Discord](https://discord.gg/9GEQrxmVyE) and direct your questions to the `#support` channel. * **Report Issues or Suggest Features**: Have an issue or a feature request? Please submit them through our [GitHub Issues page](https://github.com/cpacker/MemGPT/issues). * **Explore the Roadmap**: Curious about future developments? View and comment on our [project roadmap](https://github.com/cpacker/MemGPT/issues/1200). @@ -102,5 +102,5 @@ When using MemGPT with open LLMs (such as those downloaded from HuggingFace), th To evaluate the performance of a model on MemGPT, simply configure the appropriate model settings using `memgpt configure`, and then initiate the benchmark via `memgpt benchmark`. The duration will vary depending on your hardware. This will run through a predefined set of prompts through multiple iterations to test the function calling capabilities of a model. You can help track what LLMs work well with MemGPT by contributing your benchmark results via [this form](https://forms.gle/XiBGKEEPFFLNSR348), which will be used to update the spreadsheet. ## Legal notices -By using MemGPT and related MemGPT services (such as the MemGPT endpoint or hosted service), you agree to our [privacy policy](PRIVACY.md) and [terms of service](TERMS.md). +By using MemGPT and related MemGPT services (such as the MemGPT endpoint or hosted service), you agree to our [privacy policy](https://github.com/cpacker/MemGPT/tree/main/PRIVACY.md) and [terms of service](https://github.com/cpacker/MemGPT/tree/main/TERMS.md).