We here at Einblick wrote up some examples that illustrate the benefits of leveraging contextual information when building AI integrations in the data analytics / data science space compared to simpler LLM wrappers.
We do support these type of workflows in our spin on Python notebooks: https://einblick.ai
Since we control the code and the execution we can do a lot of interesting things with sending specific context to the LLMs like this "Fix error" feature.
Einblick | Frontend Engineer | REMOTE (USA) or Boston | Full-time
We're an early stage spin-off from MIT / Brown University and are building a platform that brings teams together to make better data driven decisions and changes the way people work and interact with data.
https://youtu.be/ilePGjl68fw
Feel free to reach out to Phil (pe at einblick.ai) or me (ez at einblick.ai), both founders and UI enthusiasts. Otherwise apply here: https://einblick.ai/careers/
Einblick | Frontend Engineer | REMOTE (USA) or Boston | Full-time
We're an early stage spin-off from MIT / Brown University and are building a platform that brings teams together to make better data driven decisions and changes the way people work and interact with data. Short demo here: https://youtu.be/ilePGjl68fw
Feel free to reach out to Phil (pe at einblick.ai) or me (ez at einblick.ai), both founders and UI enthusiasts. Otherwise apply here: https://einblick.ai/careers/
