BestHub
Sign in
Tagged articles

AI safety

360 articles · Page 4 of 4
Cognitive Technology Team
Cognitive Technology Team
Oct 16, 2024 · Artificial Intelligence

Large Language Models Lack Formal Reasoning Ability: Five Pieces of Evidence from the GSM‑Symbolic Benchmark

Recent research by Apple’s Iman Mirzadeh team introduces the GSM‑Symbolic benchmark, revealing that large language models, despite high scores on GSM8K, exhibit significant performance drops when problem numbers, names, or extra clauses change, indicating a lack of true formal reasoning ability.

AI safetyGSM‑SymbolicMathematical Reasoning
0 likes · 9 min read
Large Language Models Lack Formal Reasoning Ability: Five Pieces of Evidence from the GSM‑Symbolic Benchmark
Architect
Architect
Sep 26, 2024 · Artificial Intelligence

Decoding OpenAI o1: How RL‑LLM Fusion Powers Next‑Gen Reasoning

This article provides a detailed technical analysis of OpenAI’s o1 model, exploring its enhanced logical reasoning, the likely use of reinforcement learning with hidden chain‑of‑thought generation, multi‑model architecture, training data pipelines, reward modeling, and how these innovations could reshape AI safety and scaling strategies.

AI safetyLLMOpenAI o1
0 likes · 43 min read
Decoding OpenAI o1: How RL‑LLM Fusion Powers Next‑Gen Reasoning
Baobao Algorithm Notes
Baobao Algorithm Notes
Sep 25, 2024 · Industry Insights

Decoding OpenAI o1: How RL and LLM Fuse to Power Hidden Chain‑of‑Thought

This article analytically reconstructs OpenAI o1’s architecture, training pipeline, and inference workflow, exploring its reinforcement‑learning‑enhanced hidden chain‑of‑thought, multi‑model composition, scaling laws, reward modeling, and potential implications for future AI safety and small‑model strategies.

AI safetyHidden COTLLM
0 likes · 43 min read
Decoding OpenAI o1: How RL and LLM Fuse to Power Hidden Chain‑of‑Thought
Data Thinking Notes
Data Thinking Notes
Sep 13, 2024 · Artificial Intelligence

How OpenAI’s o1 Series Redefines Complex Reasoning and AI Safety

OpenAI’s new o1 series, including o1‑preview and o1‑mini, leverages reinforcement‑learning‑based chain‑of‑thought reasoning to achieve superior performance on academic exams, coding contests, and safety benchmarks, offering faster, cost‑effective options while advancing AI alignment and human‑preference evaluation.

AI safetyCodingOpenAI
0 likes · 15 min read
How OpenAI’s o1 Series Redefines Complex Reasoning and AI Safety
AntTech
AntTech
Aug 12, 2024 · Artificial Intelligence

DKCF Trustworthy Framework for Large Model Applications and AI Security Practices

The article outlines the DKCF (Data‑Knowledge‑Collaboration‑Feedback) trustworthy framework presented at the 2024 Shanghai Cybersecurity Expo, detailing challenges of large AI models, four key trust factors, and Ant Group's practical security implementations for professional AI deployments.

AI safetyDKCFKnowledge engineering
0 likes · 10 min read
DKCF Trustworthy Framework for Large Model Applications and AI Security Practices
NewBeeNLP
NewBeeNLP
Jul 25, 2024 · Artificial Intelligence

Llama 3.1 Unveiled: How the New Open‑Source Giant Matches GPT‑4o and Claude 3.5

Meta has officially released Llama 3.1, a 405‑billion‑parameter open‑source model that matches or surpasses GPT‑4o and Claude 3.5 on over 150 benchmarks, expands context to 128 K tokens, supports eight languages, and is accompanied by a detailed 100‑page paper describing its data, training stack, architecture, quantization, safety measures, and ecosystem support.

AI safetyLlama 3.1Meta
0 likes · 15 min read
Llama 3.1 Unveiled: How the New Open‑Source Giant Matches GPT‑4o and Claude 3.5
AntTech
AntTech
Jul 9, 2024 · Artificial Intelligence

2024 Large Model Security Practice Whitepaper Unveiled at the World AI Conference

The jointly authored 2024 Large Model Security Practice whitepaper, released at the World AI Conference, outlines a comprehensive safety framework covering security, reliability, and controllability, presents industry case studies, and proposes a five‑dimensional governance model to guide high‑quality development of large AI models.

AI safetyindustry practicelarge model
0 likes · 7 min read
2024 Large Model Security Practice Whitepaper Unveiled at the World AI Conference
JD Tech
JD Tech
Jun 28, 2024 · Artificial Intelligence

An Overview of Large Language Models: History, Fundamentals, Prompt Engineering, Retrieval‑Augmented Generation, Agents, and Multimodal AI

This article provides a comprehensive introduction to large language models, covering their historical development, core architecture, training process, prompt engineering techniques, Retrieval‑Augmented Generation, agent frameworks, multimodal capabilities, safety challenges, and future research directions.

AI agentsAI safetyLarge Language Models
0 likes · 22 min read
An Overview of Large Language Models: History, Fundamentals, Prompt Engineering, Retrieval‑Augmented Generation, Agents, and Multimodal AI
DataFunSummit
DataFunSummit
Jun 23, 2024 · Artificial Intelligence

Tongyi Xingchen Personalized Large Model: Technical Overview and Applications

This article summarizes the development background of large language models, Alibaba's progression in foundational and personalized AI, the design and capabilities of the Tongyi Xingchen personalized model, its multimodal and agent-based architecture, various industry use cases, and the safety and responsibility measures applied to ensure trustworthy AI deployment.

AI safetyLarge Language Modelsmodel agents
0 likes · 13 min read
Tongyi Xingchen Personalized Large Model: Technical Overview and Applications
21CTO
21CTO
Jun 2, 2024 · Artificial Intelligence

Will OpenAI’s New Safety Team Really Secure ChatGPT?

OpenAI has created a new safety committee led by Sam Altman and board members, aiming to evaluate and improve safeguards while former researchers voice concerns about the company’s commitment to AI safety and ethics.

AI safetyArtificial IntelligenceChatGPT
0 likes · 6 min read
Will OpenAI’s New Safety Team Really Secure ChatGPT?
21CTO
21CTO
May 25, 2024 · Artificial Intelligence

Sam Altman Reveals GPT‑4o Vision, AI Safety, and the Future of AGI

Sam Altman’s hour‑long “All‑In” podcast interview unveils OpenAI’s latest GPT‑4o voice model, his bold vision for AGI, concerns about AI safety, the recent leadership shake‑up, and his ideas on universal access, regulation, and the transformative impact of conversational AI.

AGIAIAI safety
0 likes · 9 min read
Sam Altman Reveals GPT‑4o Vision, AI Safety, and the Future of AGI
DevOps
DevOps
May 23, 2024 · Information Security

Guidelines for Evaluating Large Language Models in Cybersecurity Tasks

The article examines the opportunities and risks of applying large language models (LLMs) to cybersecurity, outlines fourteen practical recommendations for assessing their real‑world capabilities, and concludes with an invitation to the upcoming R&D Efficiency Conference covering AI, product management, and related topics.

AI safetyLLMcybersecurity
0 likes · 11 min read
Guidelines for Evaluating Large Language Models in Cybersecurity Tasks
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
May 2, 2024 · Artificial Intelligence

Understanding Large Language Models: Principles, Training, Risks, and Application Security

This article provides a comprehensive overview of large language models (LLMs), explaining their core concepts, transformer architecture, training stages, known shortcomings such as hallucination and reversal curse, and highlights emerging security threats like prompt injection and jailbreaking, offering guidance for safe deployment.

AI safetyLLMLarge Language Models
0 likes · 21 min read
Understanding Large Language Models: Principles, Training, Risks, and Application Security
AntTech
AntTech
Apr 18, 2024 · Artificial Intelligence

WDTA Releases International Standards for Generative AI and Large Language Model Safety Testing at the 27th UN CSTD Annual Meeting

At the 27th UN CSTD Annual Meeting in Geneva, the World Digital Technology Academy unveiled two pioneering international standards—one for generative AI application security testing and another for large language model security testing—crafted by experts from leading AI firms to establish a new global benchmark for AI safety.

AI safetyAnt GroupInternational Standards
0 likes · 8 min read
WDTA Releases International Standards for Generative AI and Large Language Model Safety Testing at the 27th UN CSTD Annual Meeting
Smart Era Software Development
Smart Era Software Development
Mar 7, 2024 · Artificial Intelligence

2024 AGI Outlook: Trends, Predictions, and a Surprise Bonus

The article analyses the 2024 AI landscape, highlighting a multimodal explosion, the limits of current AI applications, Sora as a concrete step toward AGI, the rise of AI‑native business models, edge‑AI hardware opportunities, the challenges of human‑level models, and the broader societal impacts of an AI‑driven data era.

AGIAI hardwareAI safety
0 likes · 34 min read
2024 AGI Outlook: Trends, Predictions, and a Surprise Bonus
21CTO
21CTO
Feb 22, 2024 · Artificial Intelligence

How Google’s Open‑Source Gemma Model Brings LLM Power to Your Laptop

Google’s newly released open‑source Gemma models let developers run powerful large‑language‑model workloads on notebooks, workstations, or cloud platforms, offering competitive performance, extensive tooling, and built‑in safety measures for responsible AI deployment.

AI safetyGoogle AIModel deployment
0 likes · 6 min read
How Google’s Open‑Source Gemma Model Brings LLM Power to Your Laptop
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Feb 18, 2024 · Artificial Intelligence

Llama 2: Open Foundation and Fine‑Tuned Chat Models – Overview and Technical Details

The article provides a comprehensive overview of Meta’s Llama 2 series, detailing model sizes, pre‑training data, architectural enhancements, supervised fine‑tuning, RLHF procedures, safety evaluations, reward‑model training, and iterative improvements, highlighting its open‑source release and comparative performance.

AI safetyFine-tuningLlama2
0 likes · 27 min read
Llama 2: Open Foundation and Fine‑Tuned Chat Models – Overview and Technical Details
Architect
Architect
Feb 16, 2024 · Artificial Intelligence

Can OpenAI’s Sora Redefine Text‑to‑Video Generation? An In‑Depth Technical Review

OpenAI’s newly unveiled Sora model transforms short text prompts into up‑to‑one‑minute high‑definition videos, showcasing advanced diffusion‑Transformer architecture, improved occlusion handling, and detailed visual fidelity, while the article examines its technical breakthroughs, compares it to earlier models, and discusses emerging safety and misuse concerns.

AI safetyOpenAISora
0 likes · 12 min read
Can OpenAI’s Sora Redefine Text‑to‑Video Generation? An In‑Depth Technical Review
IT Services Circle
IT Services Circle
Dec 24, 2023 · Artificial Intelligence

GPT‑4 “Lazy” Behavior: User Reports, Experiments, and Emerging Insights

The article examines growing complaints that GPT‑4 has become increasingly lazy and unpredictable since the November 6 developer update, discusses user‑generated workarounds, presents experimental findings on prompt phrasing and temperature effects, and cites recent academic studies highlighting the need for continuous large‑model monitoring.

AI safetyGPT-4large model monitoring
0 likes · 6 min read
GPT‑4 “Lazy” Behavior: User Reports, Experiments, and Emerging Insights
Tencent Tech
Tencent Tech
Sep 20, 2023 · Artificial Intelligence

Why Do Large Language Models Hallucinate and How to Reduce It?

The article explains why large language models generate hallucinations—due to data errors, training conflicts, and inference uncertainty—and outlines data‑cleaning, model‑level feedback, knowledge augmentation, constraint techniques, and post‑processing methods such as the “Truth‑seeking” algorithm to mitigate the issue.

AI safetyKnowledge RetrievalLarge Language Models
0 likes · 8 min read
Why Do Large Language Models Hallucinate and How to Reduce It?
Programmer DD
Programmer DD
Jul 21, 2023 · Artificial Intelligence

Why Did GPT-4’s Performance Plummet Between March and June 2023?

A Stanford‑Berkeley study reveals that between March and June 2023 GPT‑4’s accuracy on prime‑checking fell from 97.6% to 2.4%, code generation quality dropped sharply, and sensitivity handling changed, underscoring the rapid, unpredictable shifts in large language model performance over short periods.

AI safetyArtificial IntelligenceGPT-4
0 likes · 6 min read
Why Did GPT-4’s Performance Plummet Between March and June 2023?
21CTO
21CTO
Jun 18, 2023 · Artificial Intelligence

Why Yann LeCun Says ChatGPT Isn’t Even as Smart as a Dog

Meta’s chief AI scientist Yann LeCun argues that large‑language models like ChatGPT are far from human intelligence, lacking real‑world understanding and even falling short of a dog’s cleverness, while experts debate AI’s risks, benefits, and the need for regulation.

AI safetyArtificial IntelligenceChatGPT
0 likes · 6 min read
Why Yann LeCun Says ChatGPT Isn’t Even as Smart as a Dog
21CTO
21CTO
May 9, 2023 · Artificial Intelligence

Geoffrey Hinton Warns: Why AI Could Outpace Humanity and What It Means

In a candid MIT Technology Review interview, AI pioneer Geoffrey Hinton discusses his departure from Google, the rapid progress of large language models like GPT‑4, the dangers of AI self‑motivation, and why halting AI development is unrealistic yet urgently needed.

AI riskAI safetyBackpropagation
0 likes · 28 min read
Geoffrey Hinton Warns: Why AI Could Outpace Humanity and What It Means
21CTO
21CTO
May 4, 2023 · Artificial Intelligence

Why AI Pioneer Geoffrey Hinton Quit Google and What It Means for AI Safety

Geoffrey Hinton, the father of deep learning, left Google after a decade, warning that chatbots pose frightening risks, can be misused by malicious actors, and may eventually replace many professions, highlighting urgent concerns about misinformation and the long‑term existential threats of artificial intelligence.

AI safetyChatbotsGeoffrey Hinton
0 likes · 8 min read
Why AI Pioneer Geoffrey Hinton Quit Google and What It Means for AI Safety
21CTO
21CTO
Apr 20, 2023 · Artificial Intelligence

Elon Musk’s TruthGPT: A New AI Challenger to OpenAI’s ChatGPT

Dissatisfied with OpenAI’s direction, Elon Musk has launched TruthGPT through his new X.AI lab, recruiting top AI talent to build a safer, more transparent large‑language model that could rival ChatGPT and reshape AI governance, funding, and potential applications such as Twitter’s search and advertising.

AI safetyElon MuskOpenAI
0 likes · 8 min read
Elon Musk’s TruthGPT: A New AI Challenger to OpenAI’s ChatGPT
Python Programming Learning Circle
Python Programming Learning Circle
Apr 3, 2023 · Artificial Intelligence

Key Highlights of GPT‑4: Multimodal Capabilities, Benchmark Performance, and Future Implications

GPT‑4, the new multimodal AI model, can process images and text, generate code and natural language, achieve human‑level scores on standardized exams, handle up to 32 K tokens, and demonstrates advanced reasoning, while OpenAI emphasizes its safety improvements and current limitations as a still‑emerging technology.

AI safetyGPT-4benchmark performance
0 likes · 6 min read
Key Highlights of GPT‑4: Multimodal Capabilities, Benchmark Performance, and Future Implications
21CTO
21CTO
Apr 2, 2023 · Artificial Intelligence

Can GPT‑4 Be Considered Early AGI? Insights from Microsoft’s 155‑Page Study

This article reviews Microsoft’s extensive 155‑page work on early experiments with GPT‑4, exploring how the model approaches artificial general intelligence, its testing methodology, multimodal capabilities, programming and mathematical performance, interaction with tools and humans, limitations, societal impact, and future research directions.

AI safetyArtificial General IntelligenceGPT-4
0 likes · 15 min read
Can GPT‑4 Be Considered Early AGI? Insights from Microsoft’s 155‑Page Study
21CTO
21CTO
Mar 30, 2023 · Artificial Intelligence

Why Top AI Leaders Are Calling for a 6‑Month Pause on Advanced AI Development

On March 29, Elon Musk, Steve Wozniak, Geoffrey Hinton and over a thousand AI experts signed an open letter urging a six‑month halt to training systems more powerful than GPT‑4, citing profound societal risks and calling for transparent, verifiable pauses and stronger governance.

AI governanceAI pauseAI safety
0 likes · 9 min read
Why Top AI Leaders Are Calling for a 6‑Month Pause on Advanced AI Development
DataFunSummit
DataFunSummit
Mar 24, 2023 · Artificial Intelligence

OpenAI Launches ChatGPT Plugin System: Features, Examples, and Safety Discussion

OpenAI announced a safety‑focused ChatGPT plugin system that connects the model to third‑party APIs for real‑time information retrieval, knowledge‑base access, and task execution, showcasing first‑party browser and code‑interpreter plugins, third‑party extensions, an open‑source retrieval plugin, and a detailed debate on security implications.

AI safetyChatGPTCode interpreter
0 likes · 9 min read
OpenAI Launches ChatGPT Plugin System: Features, Examples, and Safety Discussion
ITPUB
ITPUB
Mar 22, 2023 · Artificial Intelligence

What Can GPT‑4 Do? Vision, Long Memory, Safer AI and More

OpenAI’s GPT‑4 arrives with multimodal vision, a dramatically longer context window, higher exam scores, Socratic prompting, improved safety, and new partnerships, while still in research mode and subject to bias and code‑trust limitations.

AI safetyGPT-4large language model
0 likes · 7 min read
What Can GPT‑4 Do? Vision, Long Memory, Safer AI and More
21CTO
21CTO
Mar 20, 2023 · Artificial Intelligence

Sam Altman Warns: Could AI Like GPT‑4 Fuel Massive Misinformation?

In a recent interview, OpenAI CEO Sam Altman cautioned that advanced AI models such as GPT‑4 could spread large‑scale false information and enable harmful cyber attacks, prompting calls for careful regulation while highlighting both the technology’s impressive capabilities and its potential risks.

AI safetyElon MuskGPT-4
0 likes · 4 min read
Sam Altman Warns: Could AI Like GPT‑4 Fuel Massive Misinformation?
21CTO
21CTO
Mar 15, 2023 · Artificial Intelligence

What Makes OpenAI’s New GPT‑4 a Game‑Changer for Multimodal AI?

OpenAI’s GPT‑4, a multimodal large language model that accepts text and image inputs, powers ChatGPT and Bing, offers improved creativity and problem‑solving while still facing hallucination risks, and is now available via ChatGPT Plus and an open API for developers.

AI safetyGPT-4OpenAI
0 likes · 5 min read
What Makes OpenAI’s New GPT‑4 a Game‑Changer for Multimodal AI?
DataFunSummit
DataFunSummit
Feb 12, 2023 · Artificial Intelligence

Claude vs. ChatGPT: Constitutional AI, RLAIF, and the Quest for Safer Large‑Language Models

This article reviews Anthropic's Claude assistant, explains the novel Constitutional AI (RLAIF) approach that replaces costly human‑feedback data with a set of natural‑language principles, compares Claude with ChatGPT across helpfulness and harmlessness, and details the supervision and reinforcement‑learning pipelines, data annotation, and experimental results that demonstrate superior safety performance.

AI safetyClaudeConstitutional AI
0 likes · 21 min read
Claude vs. ChatGPT: Constitutional AI, RLAIF, and the Quest for Safer Large‑Language Models
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Feb 10, 2023 · Artificial Intelligence

Expert Insights on ChatGPT: Technical Challenges, Applications, and Future Directions

In a REDtech live interview, NLP professor Li Lei and Xiaohongshu engineers examined ChatGPT’s strengths—long, topic‑focused replies and few‑shot learning—and its challenges such as hallucinations, safety, lack of real‑time data, model compression, and multimodal AIGC, outlining how the technology could reshape content creation, customer service, and search while requiring careful risk management.

AIAI safetyChatGPT
0 likes · 20 min read
Expert Insights on ChatGPT: Technical Challenges, Applications, and Future Directions
DataFunTalk
DataFunTalk
Jan 15, 2023 · Artificial Intelligence

Advances in Dialogue Systems: Baidu PLATO Large‑Scale Conversational Models

This article reviews the evolution of dialogue systems from modular task‑oriented designs to end‑to‑end large‑scale models, detailing Baidu's PLATO series, their technical innovations, real‑world deployments, challenges such as inference efficiency and safety, and future research directions in conversational AI.

AI safetyConversational AIDialogue Systems
0 likes · 13 min read
Advances in Dialogue Systems: Baidu PLATO Large‑Scale Conversational Models
Programmer DD
Programmer DD
Dec 6, 2022 · Artificial Intelligence

How an Engineer Coaxed ChatGPT into Writing a ‘Humanity‑Destruction’ Plan

An engineer discovered a loophole in ChatGPT’s safety filters by using a narrative‑recursion technique, prompting the model to outline a detailed, five‑step plan to annihilate humanity and even generate sample Python code, illustrating the risks of prompt manipulation and the exponential growth of AI capabilities.

AI safetyChatGPTPython
0 likes · 6 min read
How an Engineer Coaxed ChatGPT into Writing a ‘Humanity‑Destruction’ Plan
OPPO Amber Lab
OPPO Amber Lab
Sep 7, 2022 · Artificial Intelligence

How the World AI Conference Shaped the Future of Trustworthy AI

The World AI Conference’s Trustworthy AI Forum in Shanghai gathered over 20 global experts, government leaders, and industry representatives to discuss policies, standards, technologies, and applications, unveiling a new AI safety testing platform, a joint laboratory, and a comprehensive 2022 Trustworthy AI Industry Ecosystem Report.

AI safetyindustry reporttrustworthy AI
0 likes · 7 min read
How the World AI Conference Shaped the Future of Trustworthy AI
AntTech
AntTech
Sep 3, 2022 · Artificial Intelligence

Highlights from the 2022 World AI Conference: Graph Computing, Privacy Computing, AI Safety, and New Open Platforms

The 2022 World AI Conference in Shanghai showcased cutting‑edge research on graph computing and privacy computing, announced Ant Group’s new AI safety product “AntJian”, the “YinYu Open Platform” for trusted privacy computing, and the open‑source high‑performance graph database TuGraph, highlighting the push for secure, scalable AI technologies.

AIAI safetyAnt Group
0 likes · 7 min read
Highlights from the 2022 World AI Conference: Graph Computing, Privacy Computing, AI Safety, and New Open Platforms
DataFunSummit
DataFunSummit
Jul 21, 2022 · Artificial Intelligence

Advances and Challenges in Dialogue Systems: Baidu PLATO and Future Directions

This article reviews the evolution, architectures, challenges, and recent breakthroughs of dialogue systems—especially Baidu's PLATO model—while discussing data‑driven approaches, diversity, safety, interactive learning, and the potential role of virtual environments such as the metaverse in shaping future conversational AI.

AI safetyConversational AIMetaverse
0 likes · 24 min read
Advances and Challenges in Dialogue Systems: Baidu PLATO and Future Directions
AntTech
AntTech
Jul 18, 2022 · Artificial Intelligence

Trusted AI Research at Ant Group: Advances in Computer Vision, Watermark Defense, Robust Machine Learning, and Explainable NLG

Ant Group’s security labs present a series of cutting‑edge AI research achievements—including hierarchical multi‑granular classification for computer vision, watermark‑vaccine defenses, multi‑modal document understanding, robust and explainable machine learning, and logic‑driven data‑to‑text generation—highlighting their commitment to trustworthy and secure AI applications.

AI safetyData2TextRobust Machine Learning
0 likes · 12 min read
Trusted AI Research at Ant Group: Advances in Computer Vision, Watermark Defense, Robust Machine Learning, and Explainable NLG
DataFunTalk
DataFunTalk
Jul 12, 2022 · Artificial Intelligence

Applying Computer Vision for Content Safety in Live Streaming: Practices and Future Directions

This presentation details how Huya leverages computer‑vision algorithms to detect and mitigate risky content such as political, pornographic, and violent material in live‑streaming and short‑video platforms, describing system architecture, labeling strategies, algorithmic pipelines, real‑time moderation techniques, and future research directions.

AI safetycomputer visioncontent moderation
0 likes · 11 min read
Applying Computer Vision for Content Safety in Live Streaming: Practices and Future Directions
DataFunTalk
DataFunTalk
May 28, 2022 · Artificial Intelligence

Adversarial Examples for Captcha: Techniques, Applications, and Future Directions

This article presents a comprehensive overview of adversarial example research applied to captcha systems, covering the definition and history of adversarial attacks, geometric‑aware generation frameworks, FGSM‑based attack variants, experimental results, trade‑offs between image quality and attack strength, and future work such as AdvGAN integration.

AI safetyFGSMGaN
0 likes · 14 min read
Adversarial Examples for Captcha: Techniques, Applications, and Future Directions
Didi Tech
Didi Tech
Apr 20, 2021 · Artificial Intelligence

Few-Shot Learning, Data Augmentation, and Semi‑Supervised Methods for Improving Safety and Governance Models at Didi

To overcome scarce labeled data for safety and governance, Didi combines few‑shot learning with systematic data augmentation, self‑training semi‑supervised labeling, and multi‑task neural architectures, cutting labeling costs and reducing log‑loss by over 20% while boosting ROC‑AUC and PR‑AUC across harassment detection, expense‑complaint, and route‑intercept use cases.

AI safetyData AugmentationDidi
0 likes · 15 min read
Few-Shot Learning, Data Augmentation, and Semi‑Supervised Methods for Improving Safety and Governance Models at Didi
Tencent Tech
Tencent Tech
Sep 25, 2020 · Artificial Intelligence

What’s Inside Tencent’s AI Security Attack Matrix? A Minefield Guide

Tencent’s AI Security Attack Matrix, the industry’s first AI‑focused risk framework, maps attack tactics, techniques, and processes across the AI lifecycle, offering practical guidance for researchers and developers to identify and mitigate security threats in AI systems.

AI safetyAI securityTencent
0 likes · 5 min read
What’s Inside Tencent’s AI Security Attack Matrix? A Minefield Guide
DataFunTalk
DataFunTalk
Feb 6, 2020 · Artificial Intelligence

L4 Autonomous Driving Heavy Truck: Architecture, Data Platform, and Production Challenges

This article presents a comprehensive overview of L4 autonomous driving heavy trucks, covering system architecture, sensor and computing hardware, data and model platforms, production challenges, safety considerations, and strategies for achieving reliable, high‑performance mass‑produced autonomous trucks.

AI safetyL4 trucksautonomous driving
0 likes · 12 min read
L4 Autonomous Driving Heavy Truck: Architecture, Data Platform, and Production Challenges