Agent side-window knows all context of your screen. It can suggest actions to the UI so things automatically update.
Democratizing research with large language models.
Jypsor is a web-based computational software, empowering my self-synthesized LDMA framework. LDMA stands for language, data, math and action. I believe understanding a language, math and having data should be the only things a human from whichever background need to conduct their studies. And, that actions in-between can be effectively backpropagated via modern-day neural networks.
Jypsor's smart UI constantly updates enacting on agent's 'suggestions'. This keeps the visuals updated while the agent is running.
Jypsor's agent has access to performant tools and fast inference supported by providers like Cerebras. They can get real fast, real quick!
And... accelerates data discovery.
Working with large datasets, to simply put, is a pain in the ass. I understand the feeling of:
- Downloads spontaneously fails after significant progress.
- Files corrupting after unzip interrupts midway.
- Data unable to load in memory, because of insufficient RAM bandwidth.
- Data pre-processing taken hours to finish due to bad parallelization in code.
- Datasets unorganized over larger projects, diminishing research productivity.
- Lack of data-native views for 2D & 3D files in popular notebook software.
Datasets now are not just files & folders. They're efficient binaries for transfer, transformation or visualization.
Jypsor easens working on large datasets because of its inherent performant adapters which the agents utilizes.
Frequently asked questions.
How will Jypsor distribute?
Jypsor is planned as a perpetual license software. Additional details will be provided once released.
When will Jypsor release?
There is not a confirmed date, yet.
Why democratize research?
To accelerate humanity's technological progress by multiple folds.