Refinery Alternatives

refinery reviews and mentions

• Ultimate guide to prompt engineering
  1 project | dev.to | 7 Dec 2024

  Tools: Platforms like LangChain, Kern AI Refinery, and Langtail simplify testing, debugging, and optimizing prompts.

• [P] We are building a curated list of open source tooling for data-centric AI workflows, looking for contributions.
  12 projects | /r/MachineLearning | 3 Mar 2023

  You definitely forgot https://www.kern.ai/ :)

• How we used AI to automate stock sentiment classification
  1 project | dev.to | 21 Feb 2023

  We will build the web scraper in Kern AI workflow, labeled our news articles in refinery, and then enrich the data with gates AI. After that, we will use workflow again to send out the predictions and the enriched data via a webhook to Slack. If you'd like to follow along or explore these tools on your own, you can join our waitlist here: https://www.kern.ai/

• German's NLP startup Kern AI has raised €2.7M in seed funding to accelerate its recent growth
  1 project | /r/u_technicalbeep | 16 Feb 2023

  A platform has been developed by the German startup Kern AI for NLP developers and data scientists to not only control the labeling process but also automate and orchestrate tangential tasks and enable them to address low-quality data that comes their way. Several companies exist substantively to power this labeling process.

• Why and how we started Kern AI (our seed funding announcement)
  1 project | dev.to | 16 Feb 2023

  Fast forward to July ‘22 (after many further product iterations and a full redesign), we open-sourced our product under a new name: Kern AI refinery (the origin of the name is very simple: we want to improve, i.e., refine, the foundation for building models).

• GPT and BERT: A Comparison of Transformer Architectures
  2 projects | dev.to | 9 Feb 2023

  Get it for free here: https://github.com/code-kern-ai/refinery

• Open-source tool to label, assess and maintain natural language data. Treat training data like a software artifact!
  1 project | /r/LanguageTechnology | 25 Jan 2023
• Drastically decrease the size of your Docker application
  2 projects | dev.to | 3 Jan 2023

  Containers are amazing for building applications. Because they allow you to pack up a programm together with all it's dependencies and execute it wherever you like. That is why our application consists of 20+ individual containers, forming our data-centric IDE for NLP, which you can check out here: https://github.com/code-kern-ai/refinery.

• Introducing bricks, an open-source content-library for NLP
  2 projects | dev.to | 8 Dec 2022

  Today we launched bricks, an open-source library which provides enrichments for your natural language processing projects. Our main goal with bricks is to shorten the amount of time that you need from idea to implementation. Bricks also seamlessly integrates into our main tool, the Kern AI refinery.

• How to fine-tune your embeddings for better similarity search
  2 projects | dev.to | 15 Sep 2022

  This blog post will share our experience with fine-tuning sentence embeddings on a commonly available dataset using similarity learning. We additionally explore how this could benefit the labeling workflow in the Kern AI refinery. To understand this post, you should know what embeddings are and how they are generated. A rough idea of what fine-tuning is also helps. All the code and data referenced in this post is available on GitHub.

• A note from our sponsor - CodeRabbit
  coderabbit.ai | 12 Dec 2024

  Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR. Learn more →