
Using the Hugging Face Inference API for Device Audio Analysis
The Hugging Face Inference API makes it easy to integrate any public or private AI model with Golioth Pipelines for use-cases such as text, video, and audio …


The Hugging Face Inference API makes it easy to integrate any public or private AI model with Golioth Pipelines for use-cases such as text, video, and audio …

Golioth enables AI applications by pushing TF Lite model updates directly to devices. These can be stored locally and begin running without a device restart. …

OpenAI's Structured Outputs allow callers to provide a JSON schema to define the structure in which responses should be formatted. When combined with Golioth …
This is a guest post by Joey Quatela, co-owner and computer engineer at Reflow Design Co. Reflow recently worked on a Bluetooth beacon demo that works with …

A new Pipelines transformer for calling an external webhook for data transformation is now generally available for Golioth users.

A new Pipelines transformer for embedding data in JSON is now generally available for Golioth users.

Golioth is announcing a new Pipelines data destination for Kafka. Kafka is an open-source distributed event streaming platform used by thousands of companies …

The new struct-to-json transformer from Golioth allows packed C structs from an embedded device to translate to human-readable text (in JSON format) once …

Golioth is announcing a new Pipelines data destination for AWS S3. It represents the first object storage destination for Golioth Pipelines, and opens up a new …

Golioth is announcing a new Pipelines data destination for Memfault. It enables devices to leverage their existing secure connection to Golioth to deliver data …

Golioth is announcing a JSON Patch transformer, which allows users to modify JSON payloads, or payloads that have been transformed into JSON in a previous …

Golioth is announcing the launch of Pipelines, a powerful new set of features that redefines how you manage and route your IoT data. It represents a significant …