Claude Code Voice Mode
<p> Speak your prompts into Claude Code </p> <p> <a href="https://www.producthunt.com/products/claude-code-voice-mode?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1088811?app_id=339">Link</a> </p>
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Production RAG: From Anti-Patterns to Platform Engineering
RAG is a distributed system . It becomes clear when moving beyond demos into production. It consists of independent services such as ingestion, retrieval, inference, orchestration, and observability. Each component introduces its own latency, scaling characteristics, and failure modes, making coordination, observability, and fault tolerance essential. RAG flowchart In regulated environments such as banking, these systems must also satisfy strict governance, auditability, and change-control requirements aligned with standards like SOX and PCI DSS. This article builds on existing frameworks like 12 Factor Agents (Dex Horthy)¹ and Google’s 16 Factor App² by exploring key anti-patterns and introducing the pillars required to take a typical RAG pipeline to production. I’ve included code snippet
Chinese AI rivals clash over Anthropic’s OpenClaw exit amid global token crunch
Chinese tech companies are engaged in a public war of words as they compete to capitalise on US start-up Anthropic’s decision to pull its industry-leading Claude models from open-source AI agent tool OpenClaw. The development comes as AI agents have triggered a huge increase in demand for AI tokens – the core metric of AI usage – raising questions about the long-term ability of industry players to meet this demand amid a growing global crunch in computational power. On Sunday, Anthropic...
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Production RAG: From Anti-Patterns to Platform Engineering
RAG is a distributed system . It becomes clear when moving beyond demos into production. It consists of independent services such as ingestion, retrieval, inference, orchestration, and observability. Each component introduces its own latency, scaling characteristics, and failure modes, making coordination, observability, and fault tolerance essential. RAG flowchart In regulated environments such as banking, these systems must also satisfy strict governance, auditability, and change-control requirements aligned with standards like SOX and PCI DSS. This article builds on existing frameworks like 12 Factor Agents (Dex Horthy)¹ and Google’s 16 Factor App² by exploring key anti-patterns and introducing the pillars required to take a typical RAG pipeline to production. I’ve included code snippet
YouTube blokkeert Nvidia s DLSS 5-video na auteursclaim Italiaanse tv-zender
De Italiaanse tv-zender La7 claimt auteursrechten op beeldmateriaal met Nvidia s DLSS 5-technologie en laat die blokkeren. Googles videoplatform YouTube blokkeert nu videomateriaal met DLSS 5-beeld, wat ook de officiële aankondigingsvideo van Nvidia raakt.
BIRA: A Spherical Bistatic Radar Reflectivity Measurement System
arXiv:2407.13749v5 Announce Type: replace Abstract: The upcoming 6G mobile communication standard will offer a revolutionary new feature: Integrated sensing and communication (ISAC) reuses mobile communication signals to realize multi-static radar for various applications including localization. Consequently, applied ISAC propagation research necessitates to evolve from classical monostatic radar cross section (RCS) measurement of static targets on to bistatic radar reflectivity characterization of dynamic objects. Here, we introduce our Bistatic Radar (BIRA) measurement facility for independent spherical positioning of two probes with sub-millimeter accuracy on a diameter of up to 7 m and with almost continuous frequency coverage from 0.7 up to 260 GHz. Currently, BIRA is the only bistati
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