Why your LLM bill is exploding — and how semantic caching can cut it by 73%

Semantic caching is a practical pattern for LLM cost control that captures redundancy exact-match caching misses. The key ...
XDA Developers on MSN

Docker Model Runner makes running local LLMs easier than setting up a Minecraft server

On Docker Desktop, open Settings, go to AI, and enable Docker Model Runner. If you are on Windows with a supported NVIDIA GPU ...
python-hub

Day 4: My Job Scraper Plan Keeps Changing (And That’s Okay)

They shifted what wasn’t the right fit for microservices, not everything.) Day 6: Finally, code something. (Can’t wait to see how awesome it will be this time!!) What I learned today: Building a ...
InfoQ

Agentic Terminal - How Your Terminal Comes Alive with CLI Agents

In this article author Sachin Joglekar discusses the transformation of CLI terminals becoming agentic where developers can state goals while the AI agents plan, call tools, iterate, ask for approval ...
IEEE Spectrum on MSN

AI coding assistants are getting worse

This gives me a unique vantage point from which to evaluate coding assistants’ performance. Until recently, the most common ...

Dify Makes Self-Hosted LLM Development Simple : Swap Models, Add RAG & Launch Faster

Self-host Dify in Docker with at least 2 vCPUs and 4GB RAM, cut setup friction, and keep workflows controllable without deep ...