Abstract: Low earth orbit (LEO) satellite edge computing network (LSECN) can complement the advantages of terrestrial networks and provide users with ubiquitous services. Currently, the majority of ...

Our LLM API bill was growing 30% month-over-month. Traffic was increasing, but not that fast. When I analyzed our query logs, I found the real problem: Users ask the same questions in different ways. ...

Going to the database repeatedly is slow and operations-heavy. Caching stores recent/frequent data in a faster layer (memory) so we don’t need database operations again and again. It’s most useful for ...

Abstract: Serverless Edge Computing (SEC) has emerged as a promising paradigm for delivering low-latency, resource-efficient services for edge-native applications, which are implemented as dependent ...

According to DeepLearning.AI (@DeepLearningAI), a new course on semantic caching for AI agents is now available, taught by Tyler Hutcherson (@tchutch94) and Iliya Zhechev (@ilzhechev) from RedisInc.

After releasing GPT-5.1 to ChatGPT, OpenAI has launched the GPT-5.1 API model version, a major overhaul for developers focused on agentic coding and efficiency. The update introduces new `codex` ...

According to OpenAI, GPT-5.1 is now available in the API, enabling developers to integrate the model into production workflows immediately, which is relevant for trading and crypto development teams ...

Currently, API responses are cached using Django’s @decorate_view(cache_page) decorators directly in the view layer. This approach makes cache control and invalidation less flexible and scatters ...

Learn how to use in-memory caching, distributed caching, hybrid caching, response caching, or output caching in ASP.NET Core to boost the performance and scalability of your minimal API applications.

Token level caching is the process of stores intermediate state of model tokens like the activations or hidden states in a way that, when producing next token, the model can skip recomputing what it ...