[D] Any options for using GPT models using proprietary data ?

• blindai

  6 490 8.0 Rust

  Confidential AI deployment with secure enclaves :lock:

  

We are working on an open-source project, BlindAI (https://github.com/mithril-security/blindai) to answer exactly that: privacy when sending data to remote AI models.

• uptrain

  34 1,999 9.6 Python

  UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.

  

I am building an open source project which helps in collecting the high quality retraining dataset for fine-tuning LLMs. Check out https://github.com/uptrain-ai/uptrain

• InfluxDB

  www.influxdata.com featured

  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.

  

• stanford_alpaca

  108 28,816 2.0 Python

  Code and documentation to train Stanford's Alpaca models, and generate the data.

  

Hey Taenk, Arnaudvl makes a good point that the T5 is not really trained to be a chatbot. I forgot to mention the flan-alpaca model from declare-labs (it's super recent). They took the Flan-T5 and trained it on the Alpaca dataset. I'm using it right now for a project as a chatbot and getting good results. Here's an example payload I've used to get a good response:

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