LibreChat VS vertex-ai-samples

Better Azure OpenAI and OpenAI support, as well as API based AI services

Better Azure OpenAI and OpenAI support, as well as API based AI services

Good to know, thanks!

I still find it a bit concerning that even the LibreChat docs about LiteLLM don't mention local models in the list of use cases. It looks like there's a GitHub ticket to add that to the docs [0], which would be good.

Maybe I'm just growing old and crotchety, but it makes me uncomfortable to see a word like Libre—which was specifically coined in English to differentiate itself from Free-as-in-Beer—used in a context where monetary cost seems to be the primary concern in the maintainers' minds.

[0] https://github.com/danny-avila/LibreChat/issues/1131

The author of LibreChat [0] teaserd on discord that he's working on one. LibreChat is already the best "chatgpt ui" clone I could find (it has some rough edges, but not as many as the official chatgpt ui).

[0] https://github.com/danny-avila/librechat

Was also recently discussed here https://news.ycombinator.com/item?id=38502805

Check it out here if you're interested (I have no association): https://github.com/danny-avila/LibreChat

We use an Open AI developer account and an installation of LibreChat connected to our Azure AD for authentication.

LibreChat

i find LibreChat much better. The devs are very responsive as well to bugs and updates.

Google Cloud Platform (GCP) provides a very befitting Machine Learning solution called Vertex Ai that handles Google Cloud's unified platform for building, deploying, and managing machine learning (ML) models. Our goal is to build a simple Machine Learning application that optimizes all that GCP provides plus an implementation of continuous integration and continuous development (CI/CD).

Cross posting some links from another post that HNers found helpful

- https://cloud.google.com/vertex-ai (marketing page)

- https://cloud.google.com/vertex-ai/docs (docs entry point)

- https://console.cloud.google.com/vertex-ai (cloud console)

- https://console.cloud.google.com/vertex-ai/model-garden (all the models)

- https://console.cloud.google.com/vertex-ai/generative (studio / playground)

VertexAI is the umbrella for all of the Google models available through their cloud platform.

For the peer comments

- https://cloud.google.com/vertex-ai (main page)

- https://cloud.google.com/vertex-ai/docs/start/introduction-u... (docs entry point)

- https://console.cloud.google.com/vertex-ai (cloud console)

Starting on December 13, developers and enterprise customers can access Gemini Pro via the Gemini API in Google AI Studio or Google Cloud Vertex AI.

Google Cloud Platform (https://cloud.google.com/vertex-ai): Conversely, Google Cloud Platform (GCP) provides a comprehensive suite of AI and machine learning services, including APIs for vision, language, conversation, and structured data analysis. Whether you're analyzing images, interpreting human speech, or diving deep into data patterns, GCP has something for you.

VertexAI is a machine learning platform available on Google Cloud. It offers a variety of services to train and deploy AI models, including those for Generative AI.

Depending on how much work you want to put into it, you can get started at HuggingFace with their models and datasets, but you'd need compute power, multiple MLOps, etc. I was introduced to the concept in this video, since Google has their Vertex AI tools on Google Cloud, and there's always LangChain but I'm not sure about anything recent.