GenAI | Custom.MT

Deepseek for Translation 2: a Robin Hood Moment in AI

Part 1 of the evaluation with scores Full-sized infographic Сommunity’s evaluation of Deepseek’s translation accuracy is complete. Conclusion: Deepseek is a top-notch translation powerhouse racing nose-to-nose with the market leaders. The differences were small, and the ratings depended more on personal preferences of evaluators towards computer-generated translation, rather than model performance. And it will get […]

Deepseek for Translation: a Flash Evaluation

On January 28 we called for language industry peers to evaluate the new large language model Deepseek for translation tasks. More than 30 volunteers came forward, and the first results have already come in. We’re hoping to have at least 10-15 language combinations evaluated within the scope of this expercise. We will publish information as […]

Guide: How to Fine-Tune GPT-4o for Translation

OpenAI has recently expanded its offerings by making GPT-4o available for fine-tuning! Just in time for us to explore the custom translation opportunities provided by this advanced solution on the market. This new capability allows users to tailor GPT-4o to meet specific localization requirements, ensuring that the translation output adheres to pre-defined terminologies, translation memories, […]

Guide: How to Fine-Tune GPT-3.5 for Translation

OpenAI platform offers its users an opportunity to fine-tune GPT-3.5. For localization needs, one can train the AI to generate translation output with specific terminology, translation memory, and style guides. After the training, the model will not be able to generate dialogue-like answers anymore and will become a tool only for translation. When you train […]

AI Prompt Engineering for Localization – 2024 Techniques

Close to 200 people attended the Custom.MT workshop on AI prompt engineering in localization on April 18-19. The event spanned 7 hours and covered a wide array of material. Participants created 535 prompts and executed generation tasks a total of 38,947 times. The models used in the exercises included OpenAI GPT-4 Turbo, Anthropic Claude 3, […]

Designing AI Translation Performance Dashboards

Localization teams in 2024 had a renewed interest in implementing AI translation in workflows. It was a reasonable way to trim their budgets and improve per-word costs. However, just like today, monetization often became a struggle because the mechanism to track human post-editing effort – unlike that of an AI – fairly and responsively is […]

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