"We tried not-great options like LLMs for classification, then found Nyckel. They're the perfect fit for classification."
— CEO, Retailhub
Achieving production-ready accuracy involves training the model on your own data. Doing that with Nyckel takes just seconds.
Confidence scores play a pivotal part in understanding the classification result. Only discriminative AI tools like Nyckel can provide confidences scores accurately. Learn more on our blog.
LLMs with fine-tuning tools don't come with a UI for easy data management. Meanwhile, Nyckel's UI lets anyone on the team see uploaded samples and make tweaks on the fly.
Alternatively, Nyckel provides prompt-free API endpoints that charge only for # of classifications.
With our volume discounts, Nyckel becomes a more cost-effective solution as you scale. [Pricing page]
Nyckel offers 100s of pretrained classifiers you can access immediately - or clone and improve upon yourself!
Nyckel is an AI platform build specifically for classification
Ensures these models have high accuracy.
Your models can train with a few as 2 samples per class.
Pay only for what you use - not for idle GPU time.
LLMs | ||
---|---|---|
Accuracy | Decent accuracy from a basic prompt. Plateaus without training. | The ability to train on custom samples means constant improvement over time. |
Confidence scores | GenAI wasn't built to return trustworthy confidence scores. | Nyckel was built to provide scores you can trust. |
Fine-tuning | You have to upload a new file with all the old samples. | You can add new samples without worrying about what was already uploaded. |
UI Management | Once you upload samples, there's no easy way to see or fix annotations. | Nyckel's UI provides clear visibility into every uploaded sample. |
Deployment | Manual. Involves an engineer uploading the new folder. | Automatic. Anyone can add a new sample and annotate, and the model auto-redeploys. |