Ever since we launched Query Assistant last June, we’ve learned a lot about working with—and improving—Large Language Models (LLMs) in production with Honeycomb. Today, we’re sharing those techniques so that you can use them to achieve better outputs from your own LLM applications. The techniques in this blog are a new Honeycomb use case. You can use them today. For free. With Honeycomb.
The state of financial services today spotlights core banking digitization and the bigger-than-life disruption it’s causing in the industry. It makes sense that going to the bank sounds like an errand people no longer need to run. Even though 77 percent of banking consumers still use traditional banks in some capacity, 43 percent keep their funds elsewhere, and 61 percent will likely switch to a digital-only provider, Galileo Financial Technologies found.
Amazon Web Services (AWS) provides a range of managed database services that provide multiple database technologies to handle various use cases. They are designed to free businesses from tasks like database administration, maintenance, upgrades, and backup. AWS databases come in several types to cater to different business needs.
Here's the Grafana Office Hours with Matt Durham and Paul Balogh, where we discuss Grafana Agent Flow mode and how it's better than static mode: https://youtube.com/live/-_SsFLoJvoc
And check out the documentation for flow mode here: https://grafana.com/docs/agent/latest/flow/
