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Based on our record, Google Translate seems to be a lot more popular than Haystack NLP Framework. While we know about 510 links to Google Translate, we've tracked only 8 mentions of Haystack NLP Framework. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
> Maybe China can become the destination for ambitious smart people. Don't underestimate the language barrier. All those stereotypes about Chinese people mixing Rs and Ls? That works both ways, not just tongue twisters like Lion-Eating Poet in the Stone Den*, but even "Hello":... - Source: Hacker News / 18 days ago
Additionally, YouTube’s system supports multiple languages and is regularly updated to include new ones. This multilingual capability is made possible by training models on diverse datasets and leveraging translation technologies like Google Translate. - Source: dev.to / about 2 months ago
20 years ago, in simpler times, people were sharing badly done human translations: https://archive.org/details/engrishtwotowerssubtitles And just plain mistakes: http://news.bbc.co.uk/2/hi/7702913.stm I've also encountered a case of real paid humans translating the English word "drake", in a mythological context where it was obviously a dragon, as if it were used in the sense of "male duck". Myself, I decided to... - Source: Hacker News / 3 months ago
As stated in the video, it translates to 'beach beast'. What I find remarkable is how difficult it seems for a lot of native English speakers to correctly pronounce the word. https://translate.google.com/?sl=nl&tl=en&text=strandbeest&op=translate. - Source: Hacker News / 6 months ago
*Automating Translation with Machine Translation Systems * Integrating machine translation can significantly speed up the localization process. Tools like Lingvanex, Google Translate, or DeepL offer APIs that enable instant translation. However, it’s not enough to simply “turn on” machine translation—you need to integrate it thoughtfully for maximum impact. - Source: dev.to / 6 months ago
Haystack forms the backbone of our RAG system. It provides pipelines for processing documents, embedding text, and retrieving relevant information. - Source: dev.to / about 2 months ago
Are you curious about the NLP/GenAI/RAG framework for developers? Check out my opinionated developer review of Haystack, which emerges as a robust NLP/RAG framework that excels in search and retrieval applications: Read the review. - Source: dev.to / 6 months ago
Did you really have to pick the same name as the Haystack open source AI framework? https://haystack.deepset.ai/ https://github.com/deepset-ai/haystack It's a very active project and it's confusing to have two projects with the same name. Besides, I don't understand why you'd give a "2D digital whiteboard that automatically draws connections between code as... - Source: Hacker News / 9 months ago
I was confused for a bit but there is no relation to https://haystack.deepset.ai/. - Source: Hacker News / about 1 year ago
People like to be on the AI bandwagon, but to have good AI models, you need good LLM (large language models). Welcome to Haystack, it's an end-to-end LLM framework that allows you to build applications powered by LLMs, Transformer models, vector search and more. The latest version is a rewrite of the Haystack framework, and includes a new package, powerful pipelines, customisable components, prompt templating, and... - Source: dev.to / about 1 year ago
DeepL Translator - DeepL Translator is a machine translator that currently supports 42 language combinations.
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Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
