Self-Hosted LLM vs. Cloud APIs: How to Route Between Them
A self-hosted LLM isn’t always cheaper than an API. Learn when on-prem wins, what your hardware can run, and how to route between local and cloud models.
从发现前沿资讯,到找到趁手的工具。
ClaudeClaude 是 Anthropic 推出的 AI 助手,可通过对话协助写作、阅读资料、分析数据和编程,并将部分任务整理为可继续编辑的文档、表格或演示文件。适合希望把想法、资料和初稿衔接起来的个人与团队。01G
Notion AINotion AI 是集成在 Notion 工作空间中的 AI 助手,用于查找团队知识、生成和编辑页面、处理数据库及整理会议内容。它结合工作空间和已连接应用的上下文,帮助把资料查询、内容整理和后续任务放在同一工作环境中完成。08A self-hosted LLM isn’t always cheaper than an API. Learn when on-prem wins, what your hardware can run, and how to route between local and cloud models.
Compare API versioning strategies like URI, header, and date-based approaches, and learn how to handle a provider’s deprecation without breaking integration
Stateful versus stateless design changes how systems scale and remember context. Learn when to use memory nodes, state stores, or both.
Uber is rolling out ChatGPT Work to more than 30,000 employees, helping teams research, analyze data, create presentations, and complete complex workflows.
Learn how to connect on-premises data sources to Amazon Quick privately with AWS PrivateLink, keeping analytics traffic off the public internet. This walkthrough covers VPC endpoints for user and API access, VPC connections for data sources, DNS and endpoint policies, identity federation, and enforcing VPC-endpoint-only access for compliance.
Many teams build a multi-agent AI prototype in days but hit a wall in production. This post defines five production challenges (orchestration, per-agent model selection, reliable operation, secure code execution, and monitoring) and shows how Deep Insight, an open source multi-agent system on AWS, solves each.
Blackstone’s AI head on why the PE giant isn't panicked by market jitters.
The social media giant is planning a new stock strategy to help power its broad investments in AI models and services.
The Adaptive Agentic Intelligence Framework (AAIF), built with Strands Agents, handles routine tasks locally with small language models and routes complex requests to cloud models through Amazon Bedrock. This post walks through building AAIF with local SLMs through Ollama and Amazon Bedrock, using an Internet of Things monitoring scenario.
TechCrunch Founder Summit is a full-day gathering in Boston on November 4 where founders across all stages connect with top VCs and experienced entrepreneurs to gain tactical insights on building and scaling their companies.
Meta Muse users are adopting the app for shopping and personal productivity, the company said during its Q3 earnings call. The AI app now has over 10M users.
Startup Recursive has released Flint, a free, laptop-sized coding model built largely by its own AI research system, as an early test of AI that improves itself.
Train Qwen3 on AWS Trainium with torchtitan three ways on a single trn2.48xlarge: the Hugging Face Transformers v5 modeling backend, torchtitan's native Qwen3, and NKI mixture-of-experts kernels. The same torchrun launcher and config structure work unchanged across all three paths, including loading and saving published Hugging Face safetensors.
Opinion: In a world of AI slop, showing the human hands making things helps.
As Amazon blocks AI agents from shopping on its site, Walmart is taking the opposite approach, introducing new technology that lets AI agents make purchases on customers' behalf, with controls over spending and transaction approvals.
U.S. Hunger, a nonprofit addressing food insecurity, uses Amazon Quick to connect organizational data with leadership decisions. Leaders explore applicant data directly, share KPI definitions and financial context in Quick Spaces, and investigate policy questions with Quick Research.
Google Cloud will have GPT 6.1 Astra, Sol, and Luna in the coming weeks.
Today's PHP Security Release, and How We're Strengthening PHP Security If you're running anything on PHP it's vital you upgrade - today's updates (across the entire PHP 8.x line) address two remote code execution holes, and there have been exploits circulating since last night, thanks to a leak in the coordinated disclosure process. This post from the PHP Foundation explain what went so wrong: On Tuesday, October 20th, at around 15:00 UTC, the two CVE IDs began circulating on online forums and social media. They came with a wrong release time and a wrong CVSS score of 10.0 (the actual score is 9.2). No technical details leaked. In response, the PHP project brought its pre-announcement forward and published it at 19:30 UTC. It also moved the release from October 22nd, 14:00 UTC, to October
Trump’s EPA can't unilaterally dismiss SpaceXAI pollution lawsuit, court rules.
This is the kind of security issue that was found and prevented by AI, but is also a high risk because of AI.
让好奇心有方向,让每一天的阅读更有价值。