AI Infrastructure Serves Millions of LoRA Policies
Forget massive model duplication. A new infrastructure is emerging, allowing a single base AI model to handle millions of LoRA policies, slashing inference costs and complexity.
Practical guides, reviews, and updates on the latest AI products shaping coding, writing, design, and productivity workflows.
Forget massive model duplication. A new infrastructure is emerging, allowing a single base AI model to handle millions of LoRA policies, slashing inference costs and complexity.
Anthropic just snagged Stainless, a dev tool darling used by OpenAI, Google, and Cloudflare. This isn't just another acquisition; it's a strategic move that's shaking up the foundational infrastructure of AI development.
Information silos are the bane of any engineering team. Aderant's cloud ops team just blew them up, achieving a 90% boost in search speed with a new AI tool.
Schema drift is the silent killer of AI projects, quietly corrupting models and costing millions. This isn't about new AI magic, but treating data with the same rigor we apply to code.
The AI tool sprawl is getting out of hand. Abacus AI aims to consolidate everything into one powerful platform, but does it deliver? We investigated.
Forget the Rube Goldberg machine of multimodal AI. NVIDIA's new Nemotron Omni aims to be the single brain for AI agents, ingesting everything from video to voice. This could fundamentally change how we build intelligent systems.
Everyone expected AI coding assistants to be simple tools. They were wrong. A surge of OpenCode plugins is turning AI agents into persistent, powerful collaborators.
Microsoft's Agent 365 is launching, promising to wrangle the burgeoning landscape of AI agents. It's a belated, but perhaps necessary, move to bring order to the growing AI chaos.
Fedora 44 is here, and it's making some bold claims about disappearing into the background. After years of iteration, this release might finally live up to the hype.
Building a production RAG system isn't a theoretical exercise; it's a messy, iterative process. One engineer shares their hard-won lessons from deploying at a consumer goods giant.
The calendar flips to 2026, and with it, a wave of AI agents is poised to redefine productivity. Prepare for a reality where complex tasks feel suspiciously easy, raising both excitement and ethical eyebrows.
Everyone's scrambling to build 'knowledge bases' for their AI models. But is it really about intelligent systems, or just another way for tech giants to lock you into their ecosystem?