Video Learning Hub
Master multimodal AI concepts through comprehensive tutorials, guides, and best practices from our expert team.
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IAB Content Taxonomy Mapper: Free Open-Source Tool for 2.x → 3.0 Migration
Upgrade to IAB Content Taxonomy 3.0 without the headaches. This video walks you through the open-source IAB Mapper — a free tool that helps adtech platforms, publishers, and brand safety vendors migrate from IAB 2.x to 3.0 in minutes. 👉 Demo UI: https://mxp.co/taxonomy 👉 GitHub Repo: https://github.com/mixpeek/iab-mapper 👉 Docs (Taxonomies API): https://docs.mixpeek.com/enrichment/taxonomies What you'll learn in this video: • Why IAB 3.0 migration is mandatory • How to use the demo UI (upload → map → export) • How to install & run the CLI with pip/npm • The mapping pipeline explained: Exact label match, TF-IDF, BM25, vector KNN, and LLM reranking with Ollama • Real-world use cases: contextual targeting, brand safety, creative attribution • Benefits: open-source, runs locally, confidence-scored outputs, extensible AI methods This mapper is free, open-source, and MIT licensed. Perfect for anyone who needs to migrate, validate, or experiment with IAB 3.0.
Cookies Are Dead — Context Is Alive
💀 Cookies are dead. ⚡ Context is alive. The old world: follow users with creepy IDs. The new world: understand the content itself. 👎 Apple pie ads during an Apple keynote. 👍 Nike ads during a basketball game. This isn't the end of targeting. It's the rebirth.
IAB Taxonomy: The Structure Behind AI Campaigns (60‑Second Breakdown)
ai can scan text, video, and audio at scale. but here's the problem → without structure, it's just chaos. that's where the iab taxonomy comes in. it gives ai campaigns the shared language they need to deliver relevance, safety, comparability, and scale. in this 60-second breakdown, you'll learn: why raw ai outputs aren't enough how taxonomies standardize targeting across platforms what to show in your next rfp deck to prove you're future-ready 👉 subscribe for more practical breakdowns on contextual targeting + ai in adtech.
Multimodal Monday #2 — From Tiny VLMs to 10M‑Token Titans
This week in multimodal AI was wild — we're talking: Meta's Llama 4 with 10M-token context windows Microsoft's Phi-4-Multimodal outperforming much larger models Hugging Face's SmolVLM that runs on less than 1GB RAM Poisoned image attacks on retrieval-augmented generation (!) We'll break down the latest research, tools, real-world use cases, and what it all means for developers, founders, and builders in the AI space. ⏱ Timestamps: 00:00 – Welcome 00:25 – Quick Take 01:05 – Research Highlights 02:10 – Tools & Techniques 03:00 – Real-World Applications 03:40 – Trends & Predictions 04:30 – Community & Shoutouts 04:55 – Wrap-up
Mixpeek Taxonomies Guide
Learn how to organize and classify your multimodal content using Mixpeek's new Taxonomies feature. This guide walks you through creating hierarchical classifications that understand both visual and textual content using powerful embedding models. What you'll learn: ⚡ Creating custom taxonomies ⚡ Implementing multimodal embeddings ⚡ Automatic content classification ⚡ Hierarchical search capabilities ⚡ Best practices for video taxonomies
Mixpeek Namespaces Guide
Learn how to create and manage isolated environments for your search applications using Mixpeek's Namespaces feature. This guide covers organizing use cases, applications, or environments with independent configurations and security controls. What you'll learn: ⚡ Logical separation for different applications ⚡ Configuring vector and payload indexes ⚡ Best practices for organizing namespaces ⚡ Implementing environment and client isolation ⚡ Naming conventions for efficient management
Mixpeek Collections Guide
Learn how to effectively organize your multimodal content using Mixpeek Collections! This guide covers everything you need to know about creating and managing content groups for optimized search and retrieval. What you'll learn: ⚡ Collection creation and management ⚡ Content organization strategies ⚡ Namespace isolation ⚡ Access patterns and permissions ⚡ Performance optimization tips Key highlights: Create logical content groupings Scale to millions of assets Optimize search configurations Manage access controls
Stop Ignoring Out-of-Distribution Data — Catch What Pretrained Models Miss
Most models fail when they see something new — but that's often where the real risk is. Whether you're in brand safety, insurance, surveillance, or ad tech, the "weird" unlabeled events could be the most important ones. In this video, we show how Mixpeek lets you: ✅ Build custom low-level feature extractors ✅ Cluster unlabeled, novel data ✅ Spot unknowns before they become liabilities Don't throw away your classification rejects. Extract. Cluster. Understand.
Visual Understanding Fundamentals
Learn the foundations of computer vision. From image preprocessing to object detection, understand how machines interpret visual information. Includes practical examples of feature extraction and real-world applications.