Build LLM projects with DagsHub

Efficiently log prompts and experiments, ensuring transparency and mitigating biases or hallucinations in your LLM. Track and evaluate data for accurate model assessment, while labeling data for RLHF.

Your source of truth for LLM customization

RLHF Annotations

Rank and categorize your LLM generations so that you can perform reinforcement learning from human feedback

Integrated data annotation
Visual ranking templates

LLM Evaluation

Curate datasets of prompts and generations to better evaluate your model.
Reduce the chances of your model being biased/hallucinating with unlikely results

Data curation
Datasets versioning

Prompt Tracking

Track your prompts and LLM responses, visualize and compare results of exprimental submissions

Prompt logging
Manage customized LLM models

Zero DevOps!

Avoid the MLOps “tedious work” by using DagsHub’s capabilities without relying on your DevOps.

We do the heavy lifting for you

We will host the servers for data versioning, labeling, and experiment tracking and set up a central repository, so you can just work on ML

No need to be familiar with different tools

You will use a bunch of great tools, but work with only one interface, much more convenient

Get started working faster

Since we’re doing all the setup,
your step 1 is machine learning work!

Don’t just take our word for it..

“DagsHub has been an integral part of our success. We needed an organized framework for our ML workflows and DagsHub’s philosophy and tools made it the perfect fit. We’ve been using DagsHub for a long time and can’t imagine working on ML projects without it.”

Hwan Goh

| Head of Machine Learning | MACSO

“As an ML practitioner and instructor DagsHub is pretty amazing. Designed near perfectly for collaborative data science and just as good for teaching. It has integrations with everything you need: GitHub, MLflow, Label Studio, and DVC. Do yourself a favor and check out DagsHub. It has a small learning curve but once you do one project you’ll have a hard time using anything else.”

Isaac Faber

| Director of AI Development U.S. Army AI Integration Center

“Since we started using Dagshub, we have been able to significantly reduce the time it takes to run experiments. With streamlined experiment management and version control capabilities, we can quickly iterate and optimize our models, leading to faster results and more efficient workflows. This has been a game-changer for our team at Mana.bio.”

Guy Rosin

| Applied Scientist | Mana.bio

“My team can’t stop talking about DagsHub. It’s a tool that truly empowers us to autonomously manage our entire data science projects. DagsHub simplifies the process of ingesting and sharing data for production, making life much easier for our data scientists.”