LangChain
Haystack NLP Framework
Dify.AI
Hugging Face
Datumo Eval
Braintrust
anydone
Gumloop
Google Translate
DeepL Translator
Microsoft Translator
Mate Translate
Yandex.Translate
Crowdin
Linguee
GoldenDict
LangChaini love this apps
Based on our record, Google Translate seems to be a lot more popular than LangChain. While we know about 510 links to Google Translate, we've tracked only 4 mentions of LangChain. 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.
Undoubtedly, LangChain is the most popular framework for AI application development at the moment. The advent of LangChain has greatly simplified the construction of AI applications based on Large Language Models (LLM). If we compare an AI application to a person, the LLM would be the "brain," while LangChain acts as the "limbs" by providing various tools and abstractions. Combined, they enable the creation of AI... - Source: dev.to / about 1 year ago
Developed using Langchain and Streamlit technologies for enhanced performance. - Source: dev.to / about 1 year ago
LangChain was first released in October 2022 as an open-source side project, a framework that makes developing AI applications more flexible. It got so popular that it was promptly turned into a startup. - Source: dev.to / over 1 year ago
Being able to plug third party frameworks (Langchain, LlamaIndex) so you can build complex projects. - Source: dev.to / over 1 year ago
> 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 / 22 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 / 7 months ago
Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.
DeepL Translator - DeepL Translator is a machine translator that currently supports 42 language combinations.
Dify.AI - Open-source platform for LLMOps,Define your AI-native Apps
Microsoft Translator - Microsoft Translator is your door to a wider world.
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
Mate Translate - Ultimate translation app for Mac, iOS, Chrome and many more
