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DataFunTalk
DataFunTalk
May 19, 2026 · Artificial Intelligence

Qwen 3.7 Max Preview Lands: Rapid Dual‑Model Iteration Keeps China’s Lead in Text and Vision

The Qwen 3.7‑Max and Qwen 3.7‑Plus preview models debut with top‑15 global rankings in Arena, the only Chinese models in text and vision leaderboards, while a timeline analysis shows the Qwen series accelerating from 4‑6‑month releases to a 2‑3‑month cadence and introducing dense and MoE variants up to 235 B parameters.

AI BenchmarkChinese AIModel Iteration
0 likes · 6 min read
Qwen 3.7 Max Preview Lands: Rapid Dual‑Model Iteration Keeps China’s Lead in Text and Vision
Data Party THU
Data Party THU
Mar 15, 2026 · Artificial Intelligence

Boost LLM Accuracy: Simple Prompt Repetition Tricks That Work

The article explains three practical prompting techniques—periodic core requirement restatement, repeated inclusion of the original text, and multiple task repetitions—that help large language models maintain focus, avoid missing details, and produce deeper, more accurate outputs in long‑context and multi‑rule scenarios, with concrete examples.

AI productivityLLM promptingText Generation
0 likes · 33 min read
Boost LLM Accuracy: Simple Prompt Repetition Tricks That Work
AI Explorer
AI Explorer
Mar 3, 2026 · Industry Insights

GPT‑5.4 Leak: Dual Boost in Text and Multimodal AI That Could Redraw the Industry Map

A recently leaked briefing on OpenAI’s upcoming GPT‑5.4 suggests the model will dramatically improve both pure text generation and seamless multimodal interaction, a move that not only pushes technical limits but also reshapes the AI competitive landscape, raising new ethical, privacy, and market‑structure concerns.

AI competitionGPT-5.4Industry Analysis
0 likes · 6 min read
GPT‑5.4 Leak: Dual Boost in Text and Multimodal AI That Could Redraw the Industry Map
Instant Consumer Technology Team
Instant Consumer Technology Team
Oct 21, 2025 · Artificial Intelligence

Boost LLM Originality: Master Temperature Scaling & Top‑K Sampling

This tutorial revisits a simple text‑generation function, explains how temperature scaling and top‑K sampling reshape token probability distributions, demonstrates their effects with PyTorch code and visualizations, and shows how to integrate both techniques into an improved generation routine for more diverse and human‑like outputs.

LLMPyTorchText Generation
0 likes · 13 min read
Boost LLM Originality: Master Temperature Scaling & Top‑K Sampling
AI Algorithm Path
AI Algorithm Path
Jun 8, 2025 · Artificial Intelligence

Autoregressive vs Diffusion Language Models: Principles, Trade‑offs, and Future Directions

The article compares autoregressive and diffusion language models, detailing their mathematical foundations, training and inference pipelines, performance trade‑offs such as speed, coherence and diversity, and explores hybrid approaches and emerging research directions for more efficient and controllable text generation.

AI researchText GenerationTransformer
0 likes · 17 min read
Autoregressive vs Diffusion Language Models: Principles, Trade‑offs, and Future Directions
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Jun 4, 2025 · Artificial Intelligence

From Sub-Ability Diagnosis to Human-Aligned Generation: Bridging the Gap for Text Length Control via MARKERGEN

MarkerGen introduces a novel, plug‑and‑play framework that decomposes length‑controllable text generation into four sub‑abilities—identifying, counting, planning, and aligning—integrates external tokenizers and dynamic markers, and achieves significantly lower length errors and higher quality across diverse models, tasks, and languages.

LLMLength-Controlled GenerationMarkerGen
0 likes · 14 min read
From Sub-Ability Diagnosis to Human-Aligned Generation: Bridging the Gap for Text Length Control via MARKERGEN
Instant Consumer Technology Team
Instant Consumer Technology Team
May 16, 2025 · Artificial Intelligence

Smart AI‑Powered Push Copy: From Templates to Sampling Strategies

This article explores how high‑quality content assets—text, images, and video—drive SEO and user engagement, then delves into the challenges of crafting push‑notification copy and presents an intelligent copy system that uses template and keyword generation, transformer models, BLEU and semantic similarity evaluation, and various sampling strategies to improve relevance and diversity.

AIEvaluation MetricsNLP
0 likes · 30 min read
Smart AI‑Powered Push Copy: From Templates to Sampling Strategies
AI Frontier Lectures
AI Frontier Lectures
Mar 17, 2025 · Artificial Intelligence

Can Diffusion Models Outrun Traditional LLMs? Mercury Coder’s Speed & Architecture

The article analyzes Mercury Coder, a diffusion‑based language model that generates text and code in parallel, compares its speed and quality against traditional autoregressive LLMs like GPT‑4o‑mini using a ball‑collision benchmark, and discusses the underlying score‑entropy training, current limitations, and future multimodal potential.

AI PerformanceDiffusion ModelsLarge Language Models
0 likes · 8 min read
Can Diffusion Models Outrun Traditional LLMs? Mercury Coder’s Speed & Architecture
JavaEdge
JavaEdge
Mar 16, 2025 · Artificial Intelligence

Boost NLP Data Quality with Multi‑Stage Back‑Translation Augmentation

This article explains the core principles, implementation steps, and practical challenges of using multi‑language back‑translation to enrich text data, provides Python code for a configurable augmentation pipeline, showcases e‑commerce and financial use cases, and presents evaluation metrics that demonstrate significant gains in semantic fidelity and model performance.

NLPPythonText Generation
0 likes · 9 min read
Boost NLP Data Quality with Multi‑Stage Back‑Translation Augmentation
Code Mala Tang
Code Mala Tang
Jul 17, 2024 · Artificial Intelligence

Run Transformers.js in the Browser with Google’s window.ai – Live Demo

This article introduces how to use the JavaScript library transformers.js directly in the browser, leveraging Google’s built‑in window.ai models, outlines supported AI tasks, demonstrates a live demo, and provides the core implementation code for model loading, worker communication, and text generation.

Text GenerationTransformers.jsWeb Workers
0 likes · 5 min read
Run Transformers.js in the Browser with Google’s window.ai – Live Demo
Code Ape Tech Column
Code Ape Tech Column
Jun 1, 2024 · Artificial Intelligence

Getting Started with Spring Cloud Alibaba AI: Integrating Text, Image, and Audio Models in a Spring Boot Application

This tutorial introduces Spring AI and Spring Cloud Alibaba AI, explains their core features, shows how to set up a Maven project with the required dependencies, and provides step‑by‑step code examples for invoking text, image, and audio generation models using Spring Boot.

AI integrationAudio SynthesisImage Generation
0 likes · 9 min read
Getting Started with Spring Cloud Alibaba AI: Integrating Text, Image, and Audio Models in a Spring Boot Application
DataFunSummit
DataFunSummit
Feb 21, 2024 · Artificial Intelligence

Applying Knowledge Graphs to E‑commerce AIGC: From Domain to General KG and Large Language Models

This article presents a comprehensive overview of how knowledge graphs are integrated into e‑commerce AIGC pipelines, covering domain‑specific and generic KG‑driven text generation, model architecture, controllable generation techniques, experimental results, and future directions for large language models in commercial settings.

AIAIGCText Generation
0 likes · 23 min read
Applying Knowledge Graphs to E‑commerce AIGC: From Domain to General KG and Large Language Models
DataFunTalk
DataFunTalk
Jan 16, 2024 · Artificial Intelligence

Applying Knowledge Graphs to E‑commerce AIGC: From Domain‑Specific to General Knowledge Graphs and LLM Integration

This article presents a comprehensive overview of how knowledge graphs are leveraged in e‑commerce AIGC pipelines, detailing domain‑specific and general graph‑based text generation, model architecture, controllable generation techniques, experimental results, and future directions for large language model integration.

AIGCText Generationdomain adaptation
0 likes · 22 min read
Applying Knowledge Graphs to E‑commerce AIGC: From Domain‑Specific to General Knowledge Graphs and LLM Integration
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Nov 30, 2023 · Artificial Intelligence

Mastering LLM Text Generation: Decoding Methods Explained

This review of the recent MindSpore NLP public class walks through the fundamentals of large language model text generation, detailing deterministic decoding such as greedy and beam search, stochastic sampling techniques like temperature, top‑k and top‑p, and advanced methods including constrained beam, contrastive, and assisted search, with illustrative examples.

Beam SearchGreedy SearchLLM
0 likes · 5 min read
Mastering LLM Text Generation: Decoding Methods Explained
Baidu Geek Talk
Baidu Geek Talk
Aug 21, 2023 · Artificial Intelligence

Decoding Strategies for Generative Models: Top‑k, Top‑p, Contrastive Search, Beam Search, and Sampling

The article explains how generative models use deterministic methods like greedy and beam search and stochastic techniques such as top‑k, top‑p, contrastive search and sampling, describing their mechanisms, temperature control, repetition penalties, and practical trade‑offs for balancing fluency, diversity and coherence.

AIBeam SearchSampling
0 likes · 9 min read
Decoding Strategies for Generative Models: Top‑k, Top‑p, Contrastive Search, Beam Search, and Sampling
Architect
Architect
Jul 1, 2023 · Artificial Intelligence

Comprehensive Guide to Text Generation Decoding Strategies with HuggingFace Transformers

This tutorial explores various text generation decoding methods—including greedy search, beam search, top‑k/top‑p sampling, sample‑and‑rank, and group beam search—explaining their principles, providing detailed Python code examples, and comparing their use in modern large language models.

Beam SearchGreedy SearchSampling
0 likes · 59 min read
Comprehensive Guide to Text Generation Decoding Strategies with HuggingFace Transformers
DataFunTalk
DataFunTalk
Jun 17, 2023 · Artificial Intelligence

Research on Text Generation for Structured Data

This article reviews the rapidly evolving field of structured‑data text generation, covering AI development stages, core concepts, model architectures from pipeline to pretrained transformers, key challenges such as content selection, numeric representation, reasoning and style control, and outlines recent research directions and Q&A insights.

AIStructured DataText Generation
0 likes · 21 min read
Research on Text Generation for Structured Data
Tencent Cloud Developer
Tencent Cloud Developer
Jun 1, 2023 · Artificial Intelligence

A Comprehensive Guide to Decoding Strategies for Text Generation with HuggingFace Transformers

This guide thoroughly explains the major decoding strategies for neural text generation in HuggingFace Transformers—including greedy, beam, diverse beam, sampling, top‑k, top‑p, sample‑and‑rank, beam sampling, and group beam search—detailing their principles, Python implementations with LogitsProcessor components, workflow diagrams, comparative analysis, and references to original research.

Beam SearchSamplingText Generation
0 likes · 60 min read
A Comprehensive Guide to Decoding Strategies for Text Generation with HuggingFace Transformers
Airbnb Technology Team
Airbnb Technology Team
May 23, 2023 · Artificial Intelligence

Applying Text Generation Models to Scalable Customer Support at Airbnb

Airbnb replaced its XLM‑RoBERTa ranking with an MT5 encoder‑decoder for content recommendation, built a real‑time generative assistant for reply suggestions and intent detection, and deployed a T5‑based paraphrase chatbot, showing that large‑scale pre‑trained transformers improve relevance, agent efficiency, and user satisfaction.

AIAirbnbPrompt engineering
0 likes · 12 min read
Applying Text Generation Models to Scalable Customer Support at Airbnb
DataFunSummit
DataFunSummit
Jan 15, 2023 · Artificial Intelligence

Intelligent Writing: AIGC Technologies, Models, Evaluation Metrics, and Real‑World Applications

This article surveys the evolution of AI‑generated content for intelligent writing, covering its definition, key technologies from RNN Seq2Seq to Transformer‑based models such as UniLM, T5, BART and GPT series, evaluation datasets and metrics, product deployments by Datagrand, and the remaining challenges and future directions.

AI writingAIGCGPT
0 likes · 25 min read
Intelligent Writing: AIGC Technologies, Models, Evaluation Metrics, and Real‑World Applications
Baidu Geek Talk
Baidu Geek Talk
Oct 26, 2022 · Artificial Intelligence

Exploring Automatic Advertising Copy Generation: Techniques, Practices, and Future Directions

The article surveys automatic advertising copy generation, detailing why optimization is needed, the fundamentals of neural text generation with Seq2Seq and attention, extractive versus abstractive approaches, modern embeddings and MASS pre‑training, practical data and evaluation methods, and future enhancements such as multi‑stage attention, knowledge integration, and large pre‑trained models.

AIAdvertisingMASS
0 likes · 21 min read
Exploring Automatic Advertising Copy Generation: Techniques, Practices, and Future Directions
DataFunTalk
DataFunTalk
Sep 27, 2022 · Artificial Intelligence

Contrastive Learning for Text Generation: Motivation, Methodology, Experiments, and Discussion (CoNT Framework)

This article reviews the integration of contrastive learning into text generation, explains why it helps mitigate exposure bias, introduces the CoNT framework with three key improvements, presents extensive experiments on translation, summarization, code comment and data‑to‑text tasks, and discusses practical deployment considerations.

AICoNTText Generation
0 likes · 21 min read
Contrastive Learning for Text Generation: Motivation, Methodology, Experiments, and Discussion (CoNT Framework)
Alimama Tech
Alimama Tech
Aug 17, 2022 · Artificial Intelligence

How Multimodal AI Transforms Advertising Copy: From Image Text to Video Scripts

Alibaba’s advertising AI team presents a comprehensive study of four new multimodal copywriting tasks—image overlay text generation, video narration, text style transfer, and detail-page extraction—detailing model architectures, training on billions of images, experimental results, and practical deployment in the “Xiyu” product.

Large-Scale TrainingMultimodal AIStyle Transfer
0 likes · 17 min read
How Multimodal AI Transforms Advertising Copy: From Image Text to Video Scripts
Alimama Tech
Alimama Tech
Jun 8, 2022 · Artificial Intelligence

CTR-Driven Advertising Text Generation and Bundle Creative Optimization (CREATER & CONNA)

Alibaba’s advertising team introduces CREATER, a CTR‑driven text generator that leverages user reviews, aspect control codes, and contrastive fine‑tuning, and CONNA, a non‑autoregressive bundle creator that predicts heterogeneous ad elements with set‑based loss, both delivering substantial online CTR gains and CPC reductions through dynamic creative optimization.

CTRDynamic creative optimizationNLP
0 likes · 25 min read
CTR-Driven Advertising Text Generation and Bundle Creative Optimization (CREATER & CONNA)
DataFunTalk
DataFunTalk
May 25, 2022 · Artificial Intelligence

Optimizing E-commerce Product Copy Generation: Challenges, Framework, and System Practices

This article presents a comprehensive overview of the challenges in e‑commerce product copy generation, introduces a unified framework comprising a copy generation system, a copy‑cleaning subsystem, and a quality evaluation module, and details practical optimization techniques applied to short and long copy scenarios.

AIModel OptimizationText Generation
0 likes · 17 min read
Optimizing E-commerce Product Copy Generation: Challenges, Framework, and System Practices
DataFunTalk
DataFunTalk
May 13, 2022 · Artificial Intelligence

Design and Applications of AI‑to‑AI Conversational Systems in Immersive Virtual Social Environments

This article explores why AI‑to‑AI dialogue is needed, outlines the overall architecture of an AI conversation system, details text‑generation and voice‑synthesis techniques, and examines how such technology can power immersive metaverse social experiences, illustrated with the XiaoIce Island platform.

AI conversationDialogue SystemsMetaverse
0 likes · 21 min read
Design and Applications of AI‑to‑AI Conversational Systems in Immersive Virtual Social Environments
JD Cloud Developers
JD Cloud Developers
Mar 21, 2022 · Artificial Intelligence

How JD’s AI Generates Multimodal Product Summaries to Boost E‑Commerce

The article explains how rapid internet growth created information overload, leading to concise summary services, and how recent AI advances—especially large language models like GPT‑3—enable platforms such as JD.com to automatically generate high‑quality, multimodal product copy that drives sales and supports diverse creative tasks.

AINLPText Generation
0 likes · 4 min read
How JD’s AI Generates Multimodal Product Summaries to Boost E‑Commerce
DataFunTalk
DataFunTalk
Dec 8, 2021 · Artificial Intelligence

NLG Solutions for E‑Commerce: DAMO Academy’s XGeneration, Word2Text, KG2Text, and Metaphor Generation

This talk presents DAMO Academy’s end‑to‑end NLG pipeline for e‑commerce, detailing the XGeneration content‑reproduction system, controllable short‑text generation models (PKM and PSCN), knowledge‑graph‑to‑text generation, metaphor generation, and their extensions to short‑video script creation and intelligent video editing, together with performance results and practical applications.

Metaphor GenerationNLGText Generation
0 likes · 12 min read
NLG Solutions for E‑Commerce: DAMO Academy’s XGeneration, Word2Text, KG2Text, and Metaphor Generation
DataFunSummit
DataFunSummit
Dec 7, 2021 · Artificial Intelligence

NLG Solutions for E‑commerce: DAMO Academy’s XGeneration, Word2Text, KG2Text, and Metaphor Generation

This talk presents DAMO Academy’s end‑to‑end NLG pipeline for e‑commerce, covering the XGeneration content‑reproduction system, controllable short‑text generation models (PKM, PSCN), KG‑to‑text conversion, metaphor generation, and new‑media extensions such as short‑video script creation and intelligent video editing, together with experimental results and practical applications.

AIDAMO AcademyMetaphor Generation
0 likes · 11 min read
NLG Solutions for E‑commerce: DAMO Academy’s XGeneration, Word2Text, KG2Text, and Metaphor Generation
58 Tech
58 Tech
Mar 5, 2021 · Artificial Intelligence

Intelligent Job Title Generation with Pipeline and Seq2Seq Approaches

This article presents a comprehensive study on generating recruitment job titles by combining a rule‑based pipeline with advanced seq2seq models—including BiLSTM‑Attention, Pointer‑Generator, and a Field‑Gate Dual‑Attention architecture—demonstrating significant performance gains on real‑world hiring data.

NLPPipelinePointer-Generator
0 likes · 14 min read
Intelligent Job Title Generation with Pipeline and Seq2Seq Approaches
DataFunTalk
DataFunTalk
Aug 3, 2020 · Artificial Intelligence

Advances in Sequence‑to‑Sequence Text Generation: Attention, Pointer, Copy, and Transformer Models

This article reviews the evolution of encoder‑decoder based text generation, covering classic seq2seq with attention, pointer networks, copy mechanisms, knowledge‑enhanced models, convolutional approaches, and the latest Transformer‑based pre‑training such as MASS, highlighting their architectures, key innovations, and practical considerations.

NLPSeq2SeqText Generation
0 likes · 17 min read
Advances in Sequence‑to‑Sequence Text Generation: Attention, Pointer, Copy, and Transformer Models
Ctrip Technology
Ctrip Technology
Oct 11, 2019 · Artificial Intelligence

Intelligent Content Extraction and Generation Practices on Ctrip's Marco Polo AI Platform

This article details Ctrip's AI‑driven Marco Polo platform, describing how large‑scale NLP pipelines combine extraction, richness evaluation, semantic matching and deep‑learning generation (CopyNet, TA‑seq2seq) to produce high‑quality recommendation reasons across multiple product scenarios.

Content ExtractionNLPRecommendation Systems
0 likes · 16 min read
Intelligent Content Extraction and Generation Practices on Ctrip's Marco Polo AI Platform
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 7, 2019 · Artificial Intelligence

How KOBE Transforms Personalized Recommendation Reason Generation with Transformers

This article introduces KOBE, a knowledge‑based personalized text generation system that leverages Transformer architecture, attribute fusion, and external knowledge graphs to produce fluent, domain‑aware recommendation reasons for e‑commerce products, with a case study on the Spring Festival cloud theme.

Text GenerationTransformerknowledge graph
0 likes · 13 min read
How KOBE Transforms Personalized Recommendation Reason Generation with Transformers
Meituan Technology Team
Meituan Technology Team
Mar 14, 2019 · Artificial Intelligence

Beauty Guide: How Meituan's Information Flow Content Team Uses Text Generation Technology for Creative Optimization

Meituan’s information flow content team leverages advanced text‑generation techniques—including extractive and generative models, context‑aware representations, and Seq2Seq with attention—to overcome creative constraints, improve evaluation, and boost business metrics such as click‑through rates and user engagement through optimized titles and merchant copywriting.

AIInformation FlowMeituan
0 likes · 32 min read
Beauty Guide: How Meituan's Information Flow Content Team Uses Text Generation Technology for Creative Optimization
21CTO
21CTO
Jul 5, 2017 · Artificial Intelligence

Can AI Learn to Write Like a Chinese Novelist? Exploring Deep Learning in Literature

This article examines how deep‑learning‑based AI models, from symbolic and statistical NLP methods to Karpathy's recurrent network, progressively learn to generate Chinese wuxia novels, poetry, and web fiction, revealing both their surprising advances and inherent limitations.

AIDeep LearningText Generation
0 likes · 15 min read
Can AI Learn to Write Like a Chinese Novelist? Exploring Deep Learning in Literature