Tagged articles

multimodal understanding

4 articles · Page 1 of 1

Sep 21, 2026 · Artificial Intelligence

AI MediaKit: Multimodal Understanding & ReFM for Seamless Subtitle Removal

Volcano Engine's AI MediaKit uses multimodal semantic understanding to distinguish overlay subtitles from scene text, and a ReFM generative model with 4-step sampling, cross-frame context aggregation, and latent precise repasting to remove subtitles seamlessly while preserving original video quality, supporting 50+ languages and production-scale pipelines.

AI MediaKitReFMVolcano Engine

0 likes · 14 min read

AI MediaKit: Multimodal Understanding & ReFM for Seamless Subtitle Removal

AI Code to Success

Sep 18, 2026 · Artificial Intelligence

Doubao-Seed-2.1-pro Reads 232-Page Annual Reports: Building a Verified Financial Research Pipeline

The author tests Doubao-Seed-2.1-pro's multimodal and deep research capabilities by extracting structured financial data from 232-page annual reports, building a pipeline with cross-validation, Excel formulas, and HTML dashboards, then generalizing to BYD and Moutai, revealing that context understanding and evidence chains matter more than OCR accuracy.

AI in financeDoubao-Seed-2.1-proannual report processing

0 likes · 16 min read

Doubao-Seed-2.1-pro Reads 232-Page Annual Reports: Building a Verified Financial Research Pipeline

AI Explorer

Mar 20, 2026 · Artificial Intelligence

Meta Agent Leak Triggers Zuckerberg’s Emergency Response and Signals New AI Strategy

Meta’s internal “Meta Agent” AI project was unexpectedly exposed, revealing a novel deep‑learning architecture focused on inference efficiency and multimodal understanding; the leak has sparked debate over whether it was an accident or a strategic signal in the escalating AI arms race, prompting Zuckerberg to act swiftly.

AIAI competitionMeta

0 likes · 6 min read

Meta Agent Leak Triggers Zuckerberg’s Emergency Response and Signals New AI Strategy

Ximalaya Technology Team

Nov 29, 2024 · Artificial Intelligence

Applying Large Language Models for AIGC Advertising: Content Generation, Multimodal Understanding, and Creative Optimization at Ximalaya

Ximalaya leverages large language models and AI‑generated content to automate ad creative production, multimodal semantic understanding, and creative selection, slashing image costs to 0.2 CNY, boosting CTR by up to 3.5 %, improving revenue and eCPM by over 2 %, and expanding material diversity fivefold.

AIGCcreative optimizationlarge language models

0 likes · 21 min read

Applying Large Language Models for AIGC Advertising: Content Generation, Multimodal Understanding, and Creative Optimization at Ximalaya