How do I fine tune a large amount of data?

This page summarizes the projects mentioned and recommended in the original post on /r/OpenAI

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
  • finetuner

    :dart: Task-oriented embedding tuning for BERT, CLIP, etc.

    Tuning big data is tough. Use transfer learning or distributed training. Get data from gov sites, research papers, or scraping but be aware of legal issues. Use pre-trained models like BERT and then fine tune it using Jina AI's Finetuner. Work with a law firm SME for best results.

  • 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.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts