<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>NFT Atoms — Blog</title><description>Practical, no-hype articles on custom AI development, LLM apps and shipping AI products.</description><link>https://www.nftatoms.com/</link><language>en-us</language><item><title>Quantization From the Inside: What 4-Bit Actually Does to a Model</title><link>https://www.nftatoms.com/blog/what-4-bit-quantization-actually-does/</link><guid isPermaLink="true">https://www.nftatoms.com/blog/what-4-bit-quantization-actually-does/</guid><description>Everyone quotes &apos;4-bit, ~0.6 GB per billion parameters&apos; as if it were free. It isn&apos;t. How GPTQ, AWQ and QAT differ, why outlier channels are the whole problem, what NVFP4 changed, and what actually degrades — long context, multilingual and reasoning, none of which MMLU will show you.</description><pubDate>Wed, 12 Aug 2026 00:00:00 GMT</pubDate><category>llm</category><category>hardware</category><category>engineering</category><category>technical</category></item><item><title>On-Prem Speech-to-Speech AI for Collections: The Architecture RBI Compliance Forces</title><link>https://www.nftatoms.com/blog/on-prem-voice-ai-for-collections/</link><guid isPermaLink="true">https://www.nftatoms.com/blog/on-prem-voice-ai-for-collections/</guid><description>A collections call is a regulated conversation, not a chatbot session. Why RBI&apos;s data-localisation rules make self-hosted ASR, LLM and TTS the only viable architecture — plus the latency budget, the Indic-language problem, and the limits the system must never cross.</description><pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate><category>llm</category><category>ai agents</category><category>engineering</category><category>technical</category></item><item><title>What Actually Runs on an iPhone: The Real Limits of On-Device AI</title><link>https://www.nftatoms.com/blog/what-actually-runs-on-an-iphone/</link><guid isPermaLink="true">https://www.nftatoms.com/blog/what-actually-runs-on-an-iphone/</guid><description>A 12 GB iPhone does not give you 12 GB for a model. The real memory ceiling, honest tokens-per-second numbers, why the Neural Engine isn&apos;t where the gains went, and what still has to go to the cloud.</description><pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate><category>llm</category><category>hardware</category><category>engineering</category><category>technical</category></item><item><title>Small Models Are the New Default: The Local-First Router Pattern</title><link>https://www.nftatoms.com/blog/small-models-are-the-new-default/</link><guid isPermaLink="true">https://www.nftatoms.com/blog/small-models-are-the-new-default/</guid><description>A 3–9B model on your own hardware can handle most steps of an agent loop faster, cheaper and more privately than a frontier API. Here&apos;s how the router pattern works, what small models can and can&apos;t do, and how to build one without breaking quality.</description><pubDate>Sun, 02 Aug 2026 00:00:00 GMT</pubDate><category>llm</category><category>ai agents</category><category>engineering</category><category>technical</category></item><item><title>Is It Time to Buy Your Own GPU for LLMs? The Honest Hardware Math</title><link>https://www.nftatoms.com/blog/is-it-time-to-buy-your-own-gpu-for-llms/</link><guid isPermaLink="true">https://www.nftatoms.com/blog/is-it-time-to-buy-your-own-gpu-for-llms/</guid><description>Buy, rent or API — the real break-even math on owning a GPU for LLM inference, which cards actually matter, what fits in how much VRAM, and the hidden costs that change the answer.</description><pubDate>Mon, 13 Jul 2026 00:00:00 GMT</pubDate><category>llm</category><category>hardware</category><category>engineering</category><category>technical</category></item><item><title>How RAG Actually Works: Chunking, Embeddings and Retrieval, Explained Properly</title><link>https://www.nftatoms.com/blog/how-rag-actually-works/</link><guid isPermaLink="true">https://www.nftatoms.com/blog/how-rag-actually-works/</guid><description>A technical teardown of retrieval-augmented generation — ingestion, chunking strategies, embeddings, vector search, reranking and grounded generation — plus where RAG pipelines actually break.</description><pubDate>Wed, 08 Jul 2026 00:00:00 GMT</pubDate><category>llm</category><category>rag</category><category>engineering</category><category>technical</category></item><item><title>Running LLMs on Your Own Hardware: Ollama, llama.cpp and vLLM, Explained</title><link>https://www.nftatoms.com/blog/running-llms-on-your-own-hardware/</link><guid isPermaLink="true">https://www.nftatoms.com/blog/running-llms-on-your-own-hardware/</guid><description>The open-source local LLM stack, demystified — what llama.cpp, Ollama and vLLM each actually do, how quantization works, what fits in your VRAM, and when self-hosting beats an API.</description><pubDate>Wed, 08 Jul 2026 00:00:00 GMT</pubDate><category>llm</category><category>open source</category><category>engineering</category><category>technical</category></item><item><title>Why Your LLM App Feels Slow — and the Engineering That Fixes It</title><link>https://www.nftatoms.com/blog/why-llm-apps-feel-slow/</link><guid isPermaLink="true">https://www.nftatoms.com/blog/why-llm-apps-feel-slow/</guid><description>The anatomy of LLM latency: time-to-first-token vs tokens per second, KV caching, continuous batching, quantization, semantic caching and model routing — the real levers behind fast AI products.</description><pubDate>Wed, 08 Jul 2026 00:00:00 GMT</pubDate><category>llm</category><category>performance</category><category>engineering</category><category>technical</category></item><item><title>How Much Does an AI Chatbot Cost in 2026?</title><link>https://www.nftatoms.com/blog/ai-chatbot-cost/</link><guid isPermaLink="true">https://www.nftatoms.com/blog/ai-chatbot-cost/</guid><description>AI chatbot development cost, itemised: off-the-shelf vs custom builds, typical market ranges, monthly running costs, and the hidden line items vendors forget to mention.</description><pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate><category>pricing</category><category>llm</category><category>chatbots</category><category>guides</category></item><item><title>How to Choose an AI Development Company (Without Getting Burned)</title><link>https://www.nftatoms.com/blog/how-to-choose-an-ai-development-company/</link><guid isPermaLink="true">https://www.nftatoms.com/blog/how-to-choose-an-ai-development-company/</guid><description>A buyer&apos;s checklist for choosing an AI development company: the questions that expose weak vendors, red flags in proposals, and how to compare quotes that differ by 5x.</description><pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate><category>guides</category><category>buying ai</category><category>strategy</category></item><item><title>In-House AI Team vs Agency: The Honest Math</title><link>https://www.nftatoms.com/blog/in-house-ai-team-vs-agency/</link><guid isPermaLink="true">https://www.nftatoms.com/blog/in-house-ai-team-vs-agency/</guid><description>Build an in-house AI team or hire an agency? The real costs, timelines and failure modes of each — and the hybrid pattern most successful companies actually use.</description><pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate><category>strategy</category><category>buying ai</category><category>guides</category></item><item><title>Why Most AI Projects Fail — and How to Be in the Minority</title><link>https://www.nftatoms.com/blog/why-ai-projects-fail/</link><guid isPermaLink="true">https://www.nftatoms.com/blog/why-ai-projects-fail/</guid><description>Most AI projects never reach production — and it&apos;s rarely the technology&apos;s fault. The real reasons AI initiatives fail, and a practical playbook for being in the minority that succeed.</description><pubDate>Wed, 01 Jul 2026 00:00:00 GMT</pubDate><category>ai adoption</category><category>strategy</category><category>guides</category><category>ai projects</category></item><item><title>Where to Start with AI: A Practical Adoption Roadmap</title><link>https://www.nftatoms.com/blog/ai-adoption-roadmap/</link><guid isPermaLink="true">https://www.nftatoms.com/blog/ai-adoption-roadmap/</guid><description>Ready to adopt AI but not sure where to begin? A no-hype roadmap — how to pick a first use case that matters, run a real pilot, and scale without burning six months.</description><pubDate>Sat, 27 Jun 2026 00:00:00 GMT</pubDate><category>ai adoption</category><category>strategy</category><category>guides</category><category>getting started</category></item><item><title>Anatomy of a Web Platform: How We Built WeddingBestie</title><link>https://www.nftatoms.com/blog/anatomy-of-a-web-platform-weddingbestie/</link><guid isPermaLink="true">https://www.nftatoms.com/blog/anatomy-of-a-web-platform-weddingbestie/</guid><description>A look under the hood of a real platform we built. WeddingBestie looks like a wedding website — but it&apos;s a working platform, and the difference is exactly where the value lives.</description><pubDate>Tue, 12 May 2026 00:00:00 GMT</pubDate><category>case study</category><category>platform</category><category>product</category><category>web</category></item><item><title>Computer Vision for Business: What&apos;s Actually Possible Today</title><link>https://www.nftatoms.com/blog/computer-vision-for-business/</link><guid isPermaLink="true">https://www.nftatoms.com/blog/computer-vision-for-business/</guid><description>Computer vision lets software understand images and video. A practical tour of real business use cases, what accuracy to expect, what data you need, and how to build it.</description><pubDate>Tue, 24 Mar 2026 00:00:00 GMT</pubDate><category>computer vision</category><category>use cases</category><category>guides</category><category>ml</category></item><item><title>From Idea to Production: The Lifecycle of a Custom AI Project</title><link>https://www.nftatoms.com/blog/custom-ai-project-lifecycle/</link><guid isPermaLink="true">https://www.nftatoms.com/blog/custom-ai-project-lifecycle/</guid><description>What actually happens between &apos;we have an AI idea&apos; and &apos;it&apos;s live and reliable&apos;? A stage-by-stage walkthrough of a custom AI project — so you know what to expect and what to ask.</description><pubDate>Tue, 10 Feb 2026 00:00:00 GMT</pubDate><category>process</category><category>ml</category><category>guides</category><category>deployment</category></item><item><title>AI Agents Explained: What They Actually Are and When Your Business Needs One</title><link>https://www.nftatoms.com/blog/ai-agents-explained/</link><guid isPermaLink="true">https://www.nftatoms.com/blog/ai-agents-explained/</guid><description>AI agents are the most hyped — and most misunderstood — idea in AI right now. A plain-English guide to what they are, where they shine, where they fail, and how to use them safely.</description><pubDate>Tue, 16 Dec 2025 00:00:00 GMT</pubDate><category>ai agents</category><category>llm</category><category>automation</category><category>guides</category></item><item><title>Custom AI vs Off-the-Shelf AI: When to Build and When to Buy</title><link>https://www.nftatoms.com/blog/custom-ai-vs-off-the-shelf/</link><guid isPermaLink="true">https://www.nftatoms.com/blog/custom-ai-vs-off-the-shelf/</guid><description>Should you build custom AI or buy a ready-made tool? A clear decision framework — with a comparison table, total cost of ownership, and the wrapper trap to avoid.</description><pubDate>Tue, 11 Nov 2025 00:00:00 GMT</pubDate><category>custom ai</category><category>strategy</category><category>guides</category><category>build vs buy</category></item><item><title>Platform vs Website: What&apos;s the Difference, and Which Does Your Business Need?</title><link>https://www.nftatoms.com/blog/platform-vs-website/</link><guid isPermaLink="true">https://www.nftatoms.com/blog/platform-vs-website/</guid><description>A website tells people about your business. A platform does work for it. Here&apos;s how to tell which one you actually need — with costs, timelines and real examples.</description><pubDate>Tue, 30 Sep 2025 00:00:00 GMT</pubDate><category>platform</category><category>websites</category><category>guides</category><category>strategy</category></item><item><title>RAG vs Fine-Tuning: Which Do You Actually Need?</title><link>https://www.nftatoms.com/blog/rag-vs-fine-tuning/</link><guid isPermaLink="true">https://www.nftatoms.com/blog/rag-vs-fine-tuning/</guid><description>RAG and fine-tuning solve different problems. A plain-English decision guide with a comparison matrix, costs, common mistakes — and why most teams should start with RAG.</description><pubDate>Tue, 19 Aug 2025 00:00:00 GMT</pubDate><category>llm</category><category>rag</category><category>fine-tuning</category><category>guides</category></item><item><title>What Does It Cost to Build a Custom AI App? (2026 Guide)</title><link>https://www.nftatoms.com/blog/what-does-custom-ai-cost/</link><guid isPermaLink="true">https://www.nftatoms.com/blog/what-does-custom-ai-cost/</guid><description>Custom AI development cost in 2026: typical market ranges by project type, the drivers that move the number, ongoing costs, and how to spend less without cutting corners.</description><pubDate>Tue, 08 Jul 2025 00:00:00 GMT</pubDate><category>pricing</category><category>custom ai</category><category>guides</category></item></channel></rss>