MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...

LLC, positioned between external memory and internal subsystems, stores frequently accessed data close to compute resources.

In an effort to work faster, our devices store data from things we access often so they don’t have to work as hard to load that information. This data is stored in the cache. Instead of loading every ...

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. ...

Osmany Barrinat is Co-Founder and CIO of SecureNet MSP, with over 25 years of experience helping SMBs design and manage their IT. You’ve added more CPU and doubled the memory, yet your application is ...

According to Andrew Ng (@AndrewYNg), Redisinc experts @tchutch94 and @ilzhechev have launched a new course on semantic caching for AI agents. This course demonstrates how semantic caching technology ...

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.

If your MacBook Air feels sluggish, you're not alone. Over time, software clutter, outdated apps, and unnecessary background processes can slow down even the newest models. While hardware upgrades ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

making a hit/miss decision. Use the 303 response, as designed. The reason why this is not allowed in HTTP is because routing decisions are based on the connection context, host, and entire target URI.