Philip’s expertise in RAG, data engineering, and AI agents makes him a natural fit to write about scaling multimodal data warehousing systems.
Multimodal Monday #12: V-JEPA 2 boosts vision understanding with self-supervised world model, LEANN cuts indexing to 5%, and DatologyAI CLIP gains 8x efficiency.
Multimodal Monday #11: DINO-R1 teaches vision to think, Light-ColPali cuts memory by 88%, and NVIDIA’s surgical vision leads personalized AI. The future is niche and efficient!
Milo the Meerkat is the official mascot of Mixpeek.
Learn how to build a scalable ASR pipeline using Ray and Whisper, with batching, GPU optimization, and real-world tips from production deployments
Multimodal Monday Week 10: Xiaomi's 7B model outperforms GPT-4o, Ming-Omni unifies all modalities with 2.8B params, and specialized efficiency beats raw scale. The AI landscape is shifting fast.
Stop getting half-answers from AI. Agentic RAG creates assistants that actually think before they search.
A weekly pulse on everything multimodal—models, data, tools & community.
A weekly pulse on everything multimodal—models, data, tools & community. 🎯 Quick Take (TL;DR) * OpenAI GPT-Image 1 arrives in API: The model powering ChatGPT's viral image generation is now available to developers, enabling high-quality, professional-grade image creation directly in third-party apps. [Details ] * Baidu's Ernie 4.5 Turbo goes multimodal: The new LLM interprets pictures and videos while creating documents at 40% the cost of DeepSeek V3 and 25% of DeepSeek R1, accelerating mu
Visual CoT, video gen, and color benchmarks highlight this week's multimodal AI leaps—plus tools, papers, and real-world use cases.
Apple’s new scaling law research redefines how multimodal models are built, while Moonshot and OpenGVLab drop powerful open-source VLMs with reasoning and tool-use.