How to fine-tune GPT-3.5 Turbo in Snorkel Flow

Snorkel Flow makes it easy to fine tune LLMs like GPT-3.5 Turbo to work better for specific domain and enterprise requirements.

Hoang Tran
October 13, 2023

Latest posts

  • Q4 LTS Release of Snorkel Flow
    February 8, 2022Henry Ehrenberg
    - We’re excited to announce the Q4 2021 LTS release of Snorkel Flow, our data-centric AI development platform powered by programmatic labeling. This latest release introduces a number of new product capabilities and enhancements, from a streamlined programmatic data development interface, to enhanced auto-suggest for labeling functions, to new machine learning… ...
  • Making Automated Data Labeling a Reality in Modern AI
    February 4, 2022Braden Hancock
    - Moving from Manual to Programmatic Labeling Labeling training data by hand is exhausting. It’s tedious, slow, and expensive—the de facto bottleneck most AI/ML teams face today 1. Eager to alleviate this pain point of AI development, machine learning practitioners have long sought ways to automate this labor-intensive labeling process (i.e.,… ...
  • The Principles of Data-Centric AI Development
    January 25, 2022Team Snorkel
    - The Future of Data-Centric AI Talk Series Background Alex Ratner is CEO and co-founder of Snorkel AI and an Assistant Professor of Computer Science at the University of Washington. He recently joined the Future of Data-Centric AI event, where he presented the principles of data-centric AI and where it’s headed.… ...
  • Prompting Methods with Language Models and Their Applications to Weak Supervision
    January 19, 2022Team Snorkel
    - Machine Learning Whiteboard (MLW) Open-source Series  Today, Ryan Smith, machine learning research engineer at Snorkel AI, talks about prompting methods with language models and some applications they have with weak supervision. In this talk, we're essentially going to be using this paper as a template—this paper is a great survey… ...
  • Advancing Snorkel from research to production
    January 18, 2022Team Snorkel
    - The Snorkel AI founding team started the Snorkel Research Project at Stanford AI Lab in 2015, where we set out to explore a higher-level interface to machine learning through training data. This project was sponsored by Google, Intel, DARPA, and several other leading organizations and the research was represented in… ...
  • Building AI Applications Collaboratively Using Data-centric AI
    January 14, 2022Team Snorkel
    - The Future of Data-Centric AI Talk Series Background Roshni Malani received her PhD in Software Engineering from the University of California, San Diego, and has previously worked on Siri at Apple and as a founding engineer for Google Photos. She gave a presentation at the Future of Data-Centric AI virtual… ...
  • Meet the Snorkelers
    January 5, 2022Team Snorkel
    - At Snorkel AI, we’re building a unique team that’s equally ambitious and supportive. Our diverse experiences and perspectives help shape our team from engineering to customer success to operations and everything in between. ...
  • Epoxy: Using Semi-Supervised Learning to Augment Weak Supervision
    December 16, 2021Team Snorkel
    - Machine Learning Whiteboard (MLW) Open-source Series We launched the machine learning whiteboard series (MLW) was launched earlier this year as an open-invitation forum to brainstorm ideas and discuss the latest papers, techniques, and workflows in artificial intelligence. Everyone interested in learning about machine learning can participate in an informal and… ...
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