AAhmed Adawy44m ago · 9 min readYour LLM Is Slow. The GPU Might Not Be the Problem.Your LLM Is Slow. The GPU Might Not Be the Problem. A practical approach to tracing queueing, retrieval, prefill, and decoding in production AI systems. A user asks a question. Your application authenadawy.hashnode.dev
Jjaberadam200117h ago · 9 min readRAG Chunking: Why Chunk Size Is the Wrong KnobYou've swept chunk size from 256 to 1024 tokens. You tried 20% overlap, then 50%. You swapped in a semantic splitter. Your eval score moved a point and a half, and the answers that were wrong are mostsimplyexplained.hashnode.dev
NNash Hasan2d ago · 7 min readDeterministic JSON Reaches Claude on Bedrock: Why Constrained Decoding Changes Campus AI InfrastructureExecutive Thesis Constrained decoding is an inference-level mechanism that enforces strict schema compliance by masking invalid tokens at the decoding stage. Amazon Web Services introduced native cons1Ablog.edtechniti.com
NN Chandra Prakash Reddy4d ago · 10 min readTiny Models, Massive Impact: Running Distilled LLMs on AWS Lambda with Zero Cold StartI got the amazing chance to attend AWS Community Day Bengaluru recently on 11 July 2026. The event was full with excellent speakers and fantastic sessions all around, but one presentation totally altedevopstour.hashnode.dev
SSantosh Ghoghwani4d ago · 15 min readHow to Build an Autonomous Blog Writer with CrewAI and PythonThose who have just started writing, and even experienced writers, face this problem on a day-to-day basis. They sit in front of a laptop screen for a couple of hours before rage-quitting over what tsantoshsdevnotes.hashnode.dev
Jjaberadam2001Oct 11 · 10 min readPrompt Caching for AI Agents: Stop Breaking Your Own CacheHere's a quick audit worth running before you read further. Pull the usage object from your last hundred LLM calls and work out what fraction of input tokens came from the cache. def cache_hit_rate(ussimplyexplained.hashnode.dev
Jjaberadam2001Oct 10 · 10 min readThe Exception Pass: Catching What AI Summaries DeleteTL;DR An AI summary isn't a smaller version of your document. It's a more typical one. The sentences most likely to vanish are the ones that limit, reverse, or doubt something else: conditions, negasimplyexplained.hashnode.dev
VVikram Kumar ShuklaOct 3 · 5 min readCloudflare just shipped models that don't talk back. That's the point.On October 1, Cloudflare released Clef and Clef-flash — the first models trained by its own Workers AI team. I almost skipped the announcement. Another 27B open-weights model. Another leaderboard. Butvikramkumarshukla.hashnode.dev
KKevin KiruiOct 2 · 6 min readA Human in the Loop Does Not Automatically Make an AI Workflow SafeOne of the most common phrases in healthcare AI is: “A human is always in the loop.” It sounds reassuring. But a human reviewing an AI output does not automatically make the workflow safe. The impor2Mkevin-kirui-ai.hashnode.dev
TThe Flux ReadSep 30 · 1 min readMeta's Muse AI caught reading private texts -then lied about how it did it.A technology columnist recently installed Meta's new Muse AI agent, explicitly revoking all permissions - including access to Messages and Full Disk Access. A few days later, the agent referenced a prthefluxread.hashnode.dev