content safety | BestHub

DataFunSummit

Feb 4, 2025 · Artificial Intelligence

Training Optimization for Large-Scale Multimodal Models in Content Safety

This article examines the challenges of content safety, outlines the limitations of current task‑specific multimodal models, and proposes large‑model‑inspired training optimizations—including diversified data construction, automated annotation, parameter fine‑tuning, and multi‑task evaluation—to improve efficiency, accuracy, and scalability of multimodal AI systems.

AI optimizationLarge Model Trainingcontent safety

0 likes · 26 min read

Training Optimization for Large-Scale Multimodal Models in Content Safety

Bilibili Tech

Nov 5, 2024 · Artificial Intelligence

Bilibili's In-House Role-Playing Large Language Model: Architecture, Training Stages, Evaluation, and Demonstrations

Bilibili’s in‑house role‑playing large language model, built on the Index architecture and refined through pre‑training, supervised fine‑tuning, and preference optimization (PPO and DPO), achieved top scores on the Chinese CharacterEval benchmark, surpassing rivals while incorporating safety alignment and showcasing consistent, personality‑driven dialogue examples.

Evaluation BenchmarkSupervised Fine-tuningcontent safety

0 likes · 13 min read

Bilibili's In-House Role-Playing Large Language Model: Architecture, Training Stages, Evaluation, and Demonstrations

DataFunTalk

Sep 21, 2021 · Artificial Intelligence

Text Recognition Techniques for Content Safety: Risks, Workflow, Algorithms, and Deployment Optimization

This article explains how OCR-based text recognition is applied to content safety, detailing common risk categories, a step‑by‑step detection and recognition pipeline, mainstream detection and recognition algorithms such as regression‑based and segmentation‑based methods, and practical deployment and performance optimization strategies.

AIDeep LearningOCR

0 likes · 15 min read

Text Recognition Techniques for Content Safety: Risks, Workflow, Algorithms, and Deployment Optimization

Top Architect

Sep 19, 2020 · Artificial Intelligence

Architecture and Evaluation of Toutiao's Large-Scale Recommendation System

The article details the end‑to‑end architecture of Toutiao's massive recommendation platform, covering system overview, content and user feature extraction, model training, recall strategies, evaluation methodology, and content safety mechanisms, while highlighting practical challenges and engineering solutions.

EvaluationModel Trainingcontent analysis

0 likes · 18 min read

Architecture and Evaluation of Toutiao's Large-Scale Recommendation System

Architecture Digest

Mar 2, 2020 · Artificial Intelligence

Recommendation System Architecture and Practices at Toutiao

This article provides a comprehensive overview of Toutiao's recommendation system, covering its three-dimensional modeling of content, user, and environment features, various algorithmic approaches, feature extraction, real‑time training pipelines, recall strategies, user‑tag engineering, evaluation methods, and content‑safety measures.

A/B testingFeature Engineeringcontent safety

0 likes · 18 min read

Recommendation System Architecture and Practices at Toutiao

DataFunTalk

May 15, 2019 · Artificial Intelligence

AI‑Driven Audio Content Understanding and Safety for Live Streams

Using AI to automatically understand and secure audio content, this article discusses the challenges of manual audio analysis, outlines a four‑step pipeline—audio segmentation, speech‑to‑text, labeling, and synthesis—and describes models such as VAD, ASR, sound classification, text recognition, and behavior detection for live‑stream moderation.

AIAudio Processingcontent safety

0 likes · 11 min read

AI‑Driven Audio Content Understanding and Safety for Live Streams

Architecture Digest

Jan 30, 2018 · Artificial Intelligence

Overview of Toutiao's Recommendation System: Architecture, Content Analysis, User Tagging, Evaluation, and Content Safety

This article presents a comprehensive overview of Toutiao's recommendation system, detailing its three‑dimensional modeling approach, real‑time training pipeline, feature engineering, content and user analysis techniques, evaluation methodology, and the extensive content‑safety mechanisms employed to ensure reliable and responsible information distribution.

Evaluationcontent analysiscontent safety

0 likes · 19 min read

Overview of Toutiao's Recommendation System: Architecture, Content Analysis, User Tagging, Evaluation, and Content Safety