<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Models on AI Charcha</title><link>https://www.aicharcha.com/tags/models/</link><description>Recent content in Models on AI Charcha</description><image><title>AI Charcha</title><url>https://www.aicharcha.com/images/aicharcha-logo-refresh-1.svg</url><link>https://www.aicharcha.com/images/aicharcha-logo-refresh-1.svg</link></image><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 17 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.aicharcha.com/tags/models/index.xml" rel="self" type="application/rss+xml"/><item><title>Multimodal AI Adoption Trends in 2026</title><link>https://www.aicharcha.com/research/multimodal-ai-adoption-trends-2026/</link><pubDate>Sun, 14 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/research/multimodal-ai-adoption-trends-2026/</guid><description>An analysis of how text, image, audio, video, and screen-aware AI tools are changing practical adoption across teams.</description></item><item><title>How to Choose the Right GPT Model</title><link>https://www.aicharcha.com/guides/how-to-choose-the-right-ai-model/</link><pubDate>Sat, 13 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/guides/how-to-choose-the-right-ai-model/</guid><description>A practical guide to choosing the right AI model based on task complexity, speed, context length, cost, reliability, and privacy needs.</description></item><item><title>AI Model Pricing and Cost at Scale: A 2026 Framework for Teams</title><link>https://www.aicharcha.com/research/ai-model-pricing-and-cost-at-scale/</link><pubDate>Wed, 10 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/research/ai-model-pricing-and-cost-at-scale/</guid><description>A structured analysis of AI model pricing, hidden costs, cost-at-scale patterns, and how teams can build financially sustainable AI stacks.</description></item><item><title>Open vs Closed AI Models in 2026: Which Strategy Wins for Teams?</title><link>https://www.aicharcha.com/research/open-vs-closed-ai-models-2026/</link><pubDate>Mon, 08 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/research/open-vs-closed-ai-models-2026/</guid><description>An in-depth analysis of the tradeoffs between open and closed AI models across cost, control, performance, privacy, and long-term business risk.</description></item><item><title>AI Governance Operating Model for 2026</title><link>https://www.aicharcha.com/research/ai-governance-operating-model-2026/</link><pubDate>Sat, 06 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/research/ai-governance-operating-model-2026/</guid><description>A research note on building a practical AI governance operating model with ownership, review, policy, risk tiers, and measurement.</description></item><item><title>Small Language Models and Edge AI in 2026</title><link>https://www.aicharcha.com/research/small-language-models-edge-ai-2026/</link><pubDate>Thu, 04 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/research/small-language-models-edge-ai-2026/</guid><description>A research note on small language models, edge deployment, privacy, latency, and when smaller AI systems are better than frontier models.</description></item><item><title>Open Model Risk Assessment for Product Teams</title><link>https://www.aicharcha.com/research/may-25-open-model-risk-assessment/</link><pubDate>Mon, 25 May 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/research/may-25-open-model-risk-assessment/</guid><description>A research note on evaluating open models for privacy, licensing, safety, quality, support, and deployment control.</description></item><item><title>Evaluation Scorecards for LLM Applications</title><link>https://www.aicharcha.com/research/may-22-evaluation-scorecards-for-llm-apps/</link><pubDate>Fri, 22 May 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/research/may-22-evaluation-scorecards-for-llm-apps/</guid><description>A research note on building scorecards for LLM apps using accuracy, usefulness, safety, latency, cost, and review effort.</description></item><item><title>Private AI Deployment Tradeoffs for Enterprise Teams</title><link>https://www.aicharcha.com/research/may-17-private-ai-deployment-tradeoffs/</link><pubDate>Sun, 17 May 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/research/may-17-private-ai-deployment-tradeoffs/</guid><description>A research note on private AI deployment choices, including security, cost, latency, model quality, and operational complexity.</description></item><item><title>Multimodal Review Workflows for Images, Video, and Documents</title><link>https://www.aicharcha.com/research/may-13-multimodal-review-workflows/</link><pubDate>Wed, 13 May 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/research/may-13-multimodal-review-workflows/</guid><description>A research note on reviewing multimodal AI outputs across text, images, video, documents, and brand-sensitive content.</description></item><item><title>AI Cost Allocation Models for Growing Teams</title><link>https://www.aicharcha.com/research/may-07-ai-cost-allocation-models/</link><pubDate>Thu, 07 May 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/research/may-07-ai-cost-allocation-models/</guid><description>A research note on how organizations can assign, monitor, and manage AI costs across teams, tools, models, and workflows.</description></item><item><title>AI Model Routing Architectures for Cost and Quality</title><link>https://www.aicharcha.com/research/may-03-ai-model-routing-architectures/</link><pubDate>Sun, 03 May 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/research/may-03-ai-model-routing-architectures/</guid><description>A research note on model routing patterns that send tasks to different AI models based on cost, risk, latency, and quality needs.</description></item></channel></rss>