Testing LLM Apps with Trace-based Tests

1

Open Telemetry

To add telemetry to our app you will use OpenTelemetry, an open-source observability framework for generating, capturing, and collecting telemetry data such as logs, metrics, and traces from software services and applications.

#Monitoring Tools #Performance Monitoring #Log Management 191 social mentions

2

Hugging Face

This class of AI algorithms has been widely used in enterprise-level applications due to its capability of contextual understanding, being scalable, and handling large volumes of text data, among other features. With simple integration APIs like OpenAI, Google Gemini, Hugging Face, and Antrophic, and good frameworks that deal with external providers and in-house models, like LangChain, developers can implement interesting applications that use LLMs for internal tasks.

#AI #Social & Communications #Chatbots 299 social mentions

3

Jaeger

By running the make start/on-docker command at beginning of the section, you already started the API and also an Observability stack with an OpenTelemetry Collector and Jaeger.

#Monitoring Tools #Performance Monitoring #Log Management 9 social mentions

4

Gemini

This class of AI algorithms has been widely used in enterprise-level applications due to its capability of contextual understanding, being scalable, and handling large volumes of text data, among other features. With simple integration APIs like OpenAI, Google Gemini, Hugging Face, and Antrophic, and good frameworks that deal with external providers and in-house models, like LangChain, developers can implement interesting applications that use LLMs for internal tasks.

#Conversational AI #Chatbots #AI Assistant 144 social mentions