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NeMo-Guardrails
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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basaran
Discontinued Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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simpleAI
An easy way to host your own AI API and expose alternative models, while being compatible with "open" AI clients.
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guidance
Discontinued A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance] (by microsoft)
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gpt-jargon
Jargon is a natural language programming language specified and executed by LLMs like GPT-4.
Technical question: What code in the websiteHandler.ts is responsible for spidering the website in question?
https://github.com/openchatai/OpenChat/blob/main/llm-server/...
Yes, this is feasible.
Look into https://github.com/NVIDIA/NeMo-Guardrails and specifically to your question there are "topical rails" to ensure the conversation stays on a set of topics you greenlighted.
Also takes care of jailbreaks and allows custom conversation flow templates.
Disclaimer: I am curating LLM-tools on github [1]
A few thoughts:
* allow for custom endpoint URLs, this way people can use open source LLMs with a fake openAI API backend like basaran[2] or llama-api-server[3]
* look into better embedding methods for info-retrieval like InstructorEmbeddings or Document Summary Index
* Don't use a single embedding per content item, use multiple to increase retrieval quality
1 https://github.com/underlines/awesome-marketing-datascience/...
2 https://github.com/hyperonym/basaran
3 https://github.com/iaalm/llama-api-server
Disclaimer: I am curating LLM-tools on github [1]
A few thoughts:
* allow for custom endpoint URLs, this way people can use open source LLMs with a fake openAI API backend like basaran[2] or llama-api-server[3]
* look into better embedding methods for info-retrieval like InstructorEmbeddings or Document Summary Index
* Don't use a single embedding per content item, use multiple to increase retrieval quality
1 https://github.com/underlines/awesome-marketing-datascience/...
2 https://github.com/hyperonym/basaran
3 https://github.com/iaalm/llama-api-server
Disclaimer: I am curating LLM-tools on github [1]
A few thoughts:
* allow for custom endpoint URLs, this way people can use open source LLMs with a fake openAI API backend like basaran[2] or llama-api-server[3]
* look into better embedding methods for info-retrieval like InstructorEmbeddings or Document Summary Index
* Don't use a single embedding per content item, use multiple to increase retrieval quality
1 https://github.com/underlines/awesome-marketing-datascience/...
2 https://github.com/hyperonym/basaran
3 https://github.com/iaalm/llama-api-server
https://github.com/ConvoStack/convostack
This feels similar to MagmaChat [1] which I open sourced about a month ago. Except mine is in Ruby on Rails.
[1] https://magmachat.ai
Using this as an opportunity to mention my own related project, perhaps it can end up on your nice list one day. :)
https://github.com/lhenault/SimpleAI
- https://lmql.ai/
When you're building applications on top of LLMs, there are a number of central problems that you're trying to solve and this is one of them. Solutions are numerous and widely variable, everything from basic regex parsing to fine-tuning validator models to new programming/modeling languages. Here's some examples:
- https://github.com/microsoft/guidance
- https://github.com/r2d4/rellm