Orca supports a wide range of models - including LLMs and smaller, more specific models. Orca especially shines when it is applied to situations with high data velocity and significant variability like classification, rankings and chat.
Escape the frustrating cycle of finding incorrect outputs in your classification model, then guessing at root causes. Orca shows what your classification model is thinking and allows you to immediately edit your model - no retraining or fine-tuning required.
Orca displays each model run, along with the memories accessed and their corresponding weights. Even better, you can immediately tweak and refine the data within the same browser window, making it possible to debug and update in minutes rather than hours or days.
Maintain up-to-date chat applications and generative AIs with Orca by basing your AI on dynamic memories, not static training ones. Orca goes beyond traditional retrieval-augmented generation techniques.
Orca supports all types of models, not exclusively LLMs, allowing you even more control over your AI's outputs and the cost to run them.
AI and ML teams get to focus on technical innovations rather than simply managing technical debt.
With less retraining dedicated to simply updating your model, you can lower your organization's compute spend and hardware needs.
Increase safety and control over your models by eliminating the irrelevant, unsafe or unwanted data inherent in large language models.
Improve model accuracy by instantaneously adding or updating your models when new data emerges.
Across applications, Orca's tools empower your team to build and maintain more dynamic AIs that maintain their accuracy over time. Freed from labor intensive maintenance tasks, your team can focus on new innovations and technical breakthroughs.
With Orca-enabled AIs, your training data teaches the model to think, but you aren't stuck using it to generate outputs. Instead, an Orca-enabled model uses independent data sets that you update in real time, no retraining required.
Because your AI leverages independent data sets to generate outputs, your proven AIs instantly adapt to new use cases or expand to new customers without retraining. This independence also ensures each instance relies on that unique data set, preventing you from accidently misusing any restricted data.
Orca tracks and shows all interactions between your model and data in a human readable way. You can then make adjustments or fix a bug within the same browser window. Debugging and maintenance now take your team minutes, not days or weeks.
The world is constantly training - so the data that your AI uses needs to adapt as well. Orca enables your team to proactively add new data, remove obsolete information or change weightings.
Orca-enabled models are immediately implementable, no fine-tuning required. Simply add your data set to the model and start seeing specific, relevant outputs instantaneously.
