#machine-translation

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#reddit
fromSocial Media Today
7 months ago
Startup companies

Reddit Expands Post Translation Option to More Languages

Reddit expands its machine translation feature to over 35 countries, allowing users to engage in discussions in their preferred language.
fromSocial Media Today
7 months ago
Startup companies

Reddit Expands Post Translation Option to More Languages

Reddit is expanding its machine translation feature to over 35 countries, enhancing user accessibility and discussion in preferred languages.
fromTechCrunch
1 day ago
Remote teams

Reddit now supports translation of posts and comments into Hindi | TechCrunch

Reddit is expanding its accessibility in India by introducing machine translation for Hindi posts and comments.
fromSocial Media Today
7 months ago
Startup companies

Reddit Expands Post Translation Option to More Languages

Reddit expands its machine translation feature to over 35 countries, allowing users to engage in discussions in their preferred language.
fromSocial Media Today
7 months ago
Startup companies

Reddit Expands Post Translation Option to More Languages

Reddit is expanding its machine translation feature to over 35 countries, enhancing user accessibility and discussion in preferred languages.
fromTechCrunch
1 day ago
Remote teams

Reddit now supports translation of posts and comments into Hindi | TechCrunch

Reddit is expanding its accessibility in India by introducing machine translation for Hindi posts and comments.
more#reddit
#large-language-models
Online learning
fromHackernoon
2 months ago

102 Languages, One Model: The Multimodal AI Breakthrough You Need to Know | HackerNoon

The new multi-modal retrieval system uses large language models to connect speech and text across 102 languages without needing paired data during pre-training.
fromHackernoon
9 months ago
Data science

Where does In-context Translation Happen in Large Language Models: Abstract and Background | HackerNoon

Self-supervised large language models transition to effective translation once they reach a 'task recognition' point in their layers.
fromHackernoon
6 months ago
Miscellaneous

Practical LLMs for Real-World Applications | HackerNoon

Anchor-based LLMs reduce memory use by 99% while improving inference speed by up to 3.5 times, enabling practical use on resource-constrained devices.
Online learning
fromHackernoon
2 months ago

102 Languages, One Model: The Multimodal AI Breakthrough You Need to Know | HackerNoon

The new multi-modal retrieval system uses large language models to connect speech and text across 102 languages without needing paired data during pre-training.
fromHackernoon
9 months ago
Data science

Where does In-context Translation Happen in Large Language Models: Abstract and Background | HackerNoon

Self-supervised large language models transition to effective translation once they reach a 'task recognition' point in their layers.
fromHackernoon
6 months ago
Miscellaneous

Practical LLMs for Real-World Applications | HackerNoon

Anchor-based LLMs reduce memory use by 99% while improving inference speed by up to 3.5 times, enabling practical use on resource-constrained devices.
more#large-language-models
Typography
fromHackernoon
2 years ago

Inside Transformers: The Hidden Tech Behind LLM's and Chatbots like ChatGPT | HackerNoon

Transformers enhance efficiency and accuracy in natural language processing by utilizing attention mechanisms and eliminating the limitations of RNN architectures.
#ai-technology
fromTNW | Deep-Tech
7 months ago
European startups

DeepL launches 'industry-first' AI glossary generator for business translations

DeepL launched an AI-powered glossary generator to improve translation processes for businesses and enhance accuracy and consistency in messaging.
fromTNW | Deep-Tech
7 months ago
European startups

DeepL launches 'industry-first' AI glossary generator for business translations

DeepL launched an AI-powered glossary generator to improve translation processes for businesses and enhance accuracy and consistency in messaging.
more#ai-technology
fromHackernoon
2 years ago
Data science

Training a Bilingual Language Model by Mapping Tokens onto a Shared Character Space | HackerNoon

A bilingual Arabic-Hebrew language model using transliteration shows promising effectiveness, outperforming Arabic-only script models despite a smaller training dataset.
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