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Tencent’s impressive results with fewer active parameters could reshape how we think about scaling systems — potentially offering a more efficient path forward instead of simply making models bigger. Tencent just released Hunyuan-Large, a new open-source language model that combines scale with a Mixture-of-Experts (MoE) architecture to achieve performances on par with rivals like Llama-405B. Apple just started rolling out new developer tools for upcoming Siri screen awareness features with Apple Intelligence, signaling a major enhancement to the digital assistant’s contextual understanding capabilities. Microsoft filed a patent for a ‘response-augmenting system’ designed to combat AI hallucinations, having the model double-check its answers against real-world information before responding to users. Black Forest Labs launched a new upgrade to its FLUX1.1 pro model, featuring a new ‘Ultra’ mode for 4x higher image resolution in text-to-image generations and a ‘raw’ mode for more realistic generations.
"Multimodal RAG Intuitively and Exhaustively" discusses the application of Retrieval-Augmented Generation (RAG) in multimodal AI systems. It explores how RAG models can be used to integrate various data modalities (such as text, images, and audio) to improve AI’s reasoning capabilities. The podcast also covers different architectures and techniques used in multimodal RAG, emphasizing its potential to enhance both accuracy and interpretability in AI-driven tasks.
It also surpasses GPT-3.5 on most of these benchmarks, although it still lags behind GPT-4. DBRX is available under an open license with some restrictions and can be accessed through GitHub, Hugging Face, and major cloud platforms. Organizations can also leverage DBRX within Databricks’ Data Intelligence Platform. This could impact how people interact with chatbots in the future, making them more helpful and reliable. Researchers at Stanford Medicine and McMaster University are tackling this problem with generative artificial intelligence.
