How I Built a Bilingual RAG-Powered AI Calling & Chat Agent (With a Full Admin Ops Center)

Martin McGarry's top tip: query the bare OpenAI or Gemini API, diff it against the chat product, and the delta shows you where retrieval fetches from. Plus RSS as the next llms.txt and the grace period spam drives through.

AI公司在12个月内合计承诺97.5亿美元用于建设前部署工程（FDE）团队。三种结构模型浮现：资产负债模型（微软、亚马逊从现有编制调配，Salesforce承诺1000个FDE岗位）；独立实体模型（OpenAI Deployment Company融资40亿美元，投后估值140亿；Anthropic从黑石等融资15亿美元）；合作伙伴生态系统模型（Google Cloud承诺7.5亿美元合作伙伴基金）。瓶颈从模型能力转向部署--GPT-4、Claude、Gemini已足够强大…

Keeping State in a Stateless World: Building a Context-Aware Gemini Microservice with Spring...

When you pull an existing MCP server or an OpenAI/Claude-style skill into a local agent package...

The AI engineering space is currently obsessed with unbundling the data stack. The moment...

This week the reports landed: an OpenAI agent swarm had been quietly uploading packages to RubyGems...

Meta description: OpenAI says an AI model found a singularity in the Navier-Stokes equations, one of...

Claude and OpenAI are bringing what feels like a real storm to IT. I don’t expect that storm to hit...

Honest comparison of fine-tuning options across Anthropic, OpenAI, and open-weight models. When fine-tuning wins, when RAG wins, and when prompt engineering is enough - from an Anthropic Partner shipping production ML.

An Anthropic partner who also ships on OpenAI: why the context window stopped mattering, where the bill really comes from, and the three things that decide the choice in production.