AIConfig saves prompts, models and model parameters as source control friendly configs. This allows you to iterate on prompts and model parameters separately from your application code .
Prompts as configs : a standardized JSON format to store generative AI model settings, prompt inputs/outputs, and flexible metadata.
Ensuring availability during peak traffic by maintaining all GPU instance types could lead to prohibitively high costs. To avoid the financial strain of idle instances, we implemented a “standby instances” mechanism. Rather than preparing for the maximum potential load, we maintained a calculated number of standby instances that match the... See more
@axflow/models is an SDK for building natural language powered applications. This includes basic functionality for invoking the models, but it also includes richer functionality like augmented response streaming, hooks for building client applications, and more.
Every single person with whom you work has a vastly different set of needs. Fulfilling these needs is one way to make them content and productive. It is your full-time job to listen to these people and mentally document how they are built. is is your most important job. I know the senior VP of engineering is telling you that hitting the date for... See more
Over time, ML pipelines may turn into “jungles” of rules and models . Sculley et al . [87] introduce the phrase “pipeline jungles” (i.e., different versions of data transformations and models glued together), which was later adopted by participants in our study. While prior work demonstrates their existence and maintenance challenges, we provide... See more
Dropbase is a developer-first platform to build internal web apps with just Python. It lets you easily import your existing Python libraries and scripts so you don’t have to rewrite them to fit our framework.
Build apps by selecting UI components from a list and binding them to data fetcher functions or Python scripts. Use State & Context... See more