Results for “machine-translation”

Validates the Emotional Attitude Score (EAS) metric by measuring its consistency with human judgment on word-level sentiment polarity, using the AmbGIMT dataset and pairwise score comparisons.

Train or fine-tune sentence-transformers models for retrieval, similarity, clustering, classification, and reranking, with support for bi-encoders, cross-encoders, and sparse encoders.

Train, evaluate, export, and run inference for Masked Auto-Encoder (MAE) models for self-supervised pretraining and fine-tuning of visual representations.

Translates text between languages with three modes: quick, normal, and refined. Supports custom glossaries, audience targeting, and style presets.

Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation caching. Use when reverse-engineering model algorithms, studying attention patterns, or performing activation patching experiments.

Generate high-quality sentence and text embeddings for semantic similarity, clustering, and retrieval using 5000+ pre-trained models. Supports multilingual and domain-specific embeddings for RAG and semantic search.

Inspect and manipulate transformer internals via HookPoints and activation caching for mechanistic interpretability research.

Benchmarks automatic post-editing (APE) models on WMT'18 SMT, SubEdits, and MLQE-PE datasets, reporting BLEU, ChrF, and TER scores computed with SacreBLEU and TERCOM.

LongVA: Long Context Transfer from Language to Vision

Fine-tune and align language models using reinforcement learning with TRL, including SFT, DPO, PPO, GRPO, and reward model training.

Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation caching. Use when reverse-engineering model algorithms, studying attention patterns, or performing activation patching experiments.

Translate text faithfully into a target language while preserving meaning, register, and intent.

Translate text between languages with cultural adaptation, terminology consistency, and support for multiple document types including technical docs, marketing copy, and UI strings. Use when the user requests translation or provides relevant inputs for this workflow.

Translate existing blog posts into one or more target languages with SEO-optimized localization. Produces native-quality translations that preserve markdown structure, frontmatter, schema JSON-LD, image and chart embeds, and citation capsules. Localizes keywords, meta tags, numbers, dates, currencies, and quote styles per locale. Flags machine-translation artifacts for review. Run BEFORE blog-localize: this handles language conversion; localize handles cultural adaptation after translation completes. Use when user says "translate blog", "blog translate", "uebersetzen", "traduire", "traducir", "translate post", "blog auf Deutsch", "blog en espanol".

PyTorch, TensorFlow, neural networks, CNNs, transformers, and deep learning for production

Quinto agente do Time de Migração. Traduz as telas do sistema legado em especificações executáveis, fechando a lacuna entre o catálogo do design-system e o código pronto. Opera em duas fases. Fase 1: detecta plataforma origem/alvo, apresenta os modos (literal, modernizado, híbrido) e exige decisão humana, produzindo screen_modernization_decision.md. Fase 2: gera target_screens.md, screen_deviation_log.md e, quando o oráculo legado roda, golden files com manifest.yaml para o Inspector consumir. Ativação: /reversa-screen-translator (geralmente invocado por /reversa-migrate, entre Designer e Inspector).

Translates text between languages with pronunciation guidance for non-Latin scripts and context notes.

Multimodal Learning with Transformers: A Survey

Translates English text paragraph by paragraph into Chinese and provides deep linguistic analysis covering vocabulary, phrases, grammar, voice, syntax, and sentence structure.

Transcribe audio files to text with optional speaker diarization and known-speaker hints using OpenAI models.

Train, evaluate, export, and run inference for pose classification models using ST-GCN on skeleton keypoint sequences.

Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques. Use when processing long documents (32k-128k+ tokens), extending pre-trained models beyond original context limits, or implementing efficient positional encodings. Covers rotary embeddings, attention biases, interpolation methods, and extrapolation strategies for LLMs.

Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques. Use when processing long documents (32k-128k+ tokens), extending pre-trained models beyond original context limits, or implementing efficient positional encodings. Covers rotary embeddings, attention biases, interpolation methods, and extrapolation strategies for LLMs.

Load pre-trained models from Hugging Face Hub, run pipeline inference, generate text, and fine-tune models on NLP, vision, audio, and multimodal tasks using the Transformers library.

Generate a language translation for a mkdocs documentation stack.

Evaluates the naturalness, speaker similarity, and real-time synthesis speed of a Mandarin speech cloning system across diverse practical application scenarios.

Multimodal Few-Shot Learning with Frozen Language Models

Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or similarity tasks. Best for production embedding generation.

Transcribe and translate speech across 99 languages using OpenAI's Whisper model, with support for multiple model sizes, batch processing, and subtitle generation.

Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques for 1.5-3.6× speedup without quality loss.

Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy. Perfect for understanding GPT architecture from scratch. Train on Shakespeare (CPU) or OpenWebText (multi-GPU).

Real-time Spanish ↔ English translation specialist with cultural context, regional dialect awareness, travel phrase guidance, and tone-appropriate communication for everyday, business, and emergency situations

Guides feature extraction and preprocessing for time series data using aeon transformers, covering collection and series transformers with code examples.

Large Language Model development, training, fine-tuning, and deployment best practices.