Configuring Data Access Control (DAC) Team Level Visibility for Enterprise AI Governance
How Bifrost Enterprise combines Data Access Control (DAC), Role Based Access Control (RBAC), Access...
How Bifrost Enterprise combines Data Access Control (DAC), Role Based Access Control (RBAC), Access...
I've been using Claude for a long time and mostly ignored Artifacts. Fine for a quick React demo. Not...
Why giant AGENTS.md files may be wasting context, hurting maintainability, and making AI-assisted...
TL;DR I checked 50 AI-generated login endpoints. Zero had rate limiting. Attackers can...
Yesterday afternoon I was about to ship a change to a production pipeline. The code was written,...
Point the Codex CLI at OpenAI's GPT-5.6 Luna, Terra, and Sol on Amazon Bedrock with two lines of config, using the AWS credentials you already have.
Meet SocialRadar: a daily and weekly research agent built with the Strands SDK, Bedrock AgentCore,...
Our NOC gets a steady stream of tickets every day, and a good chunk of them are routine: the same...
The 12B ships as a multimodal class with no encoder loaded, and its sliding-window attention overflows Neuron's fused-attention SBUF. Three surgical fixes and it serves Paris at ~1...
Porting Gemma-4 31B (dense) to AWS Inferentia2: the tensor-parallel recipe that worked at 12B collapses at 31B, NxD ModelBuilder saves it — and then a passing validation lies to yo...
The MoE was the hard one: a dual-path FFN, a sparse expert loop that won't trace, and a bug where the device output was empty while the CPU reference was perfect and every unit tes...
A side-by-side of all five Gemma-4 variants on Inferentia2 — PLE, KV-sharing, MatFormer, mixed attention, and a 128-expert MoE — the recipe that evolved to carry all of them, and t...
There isn't one version of this failure, there are three distinct patterns, and they cause different...
Après avoir sécurisé nos agents avec du Human-in-the-Loop la semaine dernière, il reste un ennemi...
Deja de Entrecerrar los Ojos con los Stack Traces de .NET: Depúralos con Claude en Visual...
Why birefnet (segmentation), bria/product-shot (compositing), and gpt-4o-mini (SEO copy) are three separate purpose-built models instead of one generalist doing all three jobs.
JSON schema and function-calling constraints guarantee your model's output parses. They guarantee nothing about whether it's true.
There's a whole genre of posts about waking up to a surprise OpenAI bill. They all end with the same...
Introduction A Continuation of Shadow SCADA Terminal Velocity begins where Shadow SCADA left off —...
I run a pipeline that generates explainer articles. LLM in the middle, structured output, published...
How I went from toggling a single GPIO pin to deploying intelligent, low-power firmware on the edge —...
I sat the Claude Certified Architect exam expecting questions about model parameters, context limits,...
This article is my submission for the Agents of SigNoz Hackathon: Blog Track, where participants...
10 paper AI hot nhất trên Hugging Face hôm nay: agent, multimodal, coding, video và...