37 min
Multilingual AI + AI for Translation Using AI
-
- Technology
Rafie is back! In this episode, we delve into Multilingual AI and AI-enabled translation services, machine learning translation techniques, and we discuss and compare translation tools such as Google AutoML, GPT-4, Marian NMT, DeepL, Welocalize, Llama 2, Mistral and BLOOM
Furthermore, we discuss the potential and impact of multilingual AI for global startups (the andreesen horowitz view is that the company of the future is 'default global').
06:00 - Machine Translation vs LLMs
16:10 - Where GPT-4 and LLMs perform badly
29:10 - Mistral Model Weights Leak
We discuss: Multilingual AI, Machine Translation, Parallel Data, Marian NMT, DeepL, Welocalize, WMT, GPT-4, Translating Prompts, Multilingual Utterances, Localization, Prompt Pipelines, GPT-5, Bloom, Parameters, Mistral, LLMs, MT Engines, Token use
Links:
- https://marian-nmt.github.io/
- https://www.deepl.com/en/translator
- https://www.welocalize.com/do-llms-or-mt-engines-perform-translation-better/
- https://machinetranslate.org/wmt
- https://machinetranslate.org/wmt23#czech--ukrainian
- https://mistral.ai/news/mixtral-of-experts/
- https://cloud.google.com/translate
- https://www.reddit.com/r/MachineLearning/comments/1452ziq/d_llms_in_languages_other_than_english/
- https://instruct-multilingual-frontend-dtjnk4f6ra-ue.a.run.app/
- https://heidloff.net/article/llm-languages-german/
- https://www.theverge.com/2022/11/2/23434360/google-1000-languages-initiative-ai-llm-research-project
- https://www.theverge.com/2022/7/6/23194241/meta-facebook-ai-universal-translation-project-no-language-left-behind-open-source-model
We mentioned as a possible example the idea of translating vs locally-generating a French employment contract in France. This was in relation to our AI legaltech startup https://www.genieai.co
**Watch Using AI on YouTube (and see our daft AI-generated background images)**: https://www.youtube.com/@genieai
**Share the show with friends and family using the all-platforms show link here:** https://podcasters.spotify.com/pod/show/using-ai
Please follow the show, and leave us a review when you get a chance!
Thanks,
Alex, Alex and Rafie
---
Send in a voice message: https://podcasters.spotify.com/pod/show/using-ai/message
Rafie is back! In this episode, we delve into Multilingual AI and AI-enabled translation services, machine learning translation techniques, and we discuss and compare translation tools such as Google AutoML, GPT-4, Marian NMT, DeepL, Welocalize, Llama 2, Mistral and BLOOM
Furthermore, we discuss the potential and impact of multilingual AI for global startups (the andreesen horowitz view is that the company of the future is 'default global').
06:00 - Machine Translation vs LLMs
16:10 - Where GPT-4 and LLMs perform badly
29:10 - Mistral Model Weights Leak
We discuss: Multilingual AI, Machine Translation, Parallel Data, Marian NMT, DeepL, Welocalize, WMT, GPT-4, Translating Prompts, Multilingual Utterances, Localization, Prompt Pipelines, GPT-5, Bloom, Parameters, Mistral, LLMs, MT Engines, Token use
Links:
- https://marian-nmt.github.io/
- https://www.deepl.com/en/translator
- https://www.welocalize.com/do-llms-or-mt-engines-perform-translation-better/
- https://machinetranslate.org/wmt
- https://machinetranslate.org/wmt23#czech--ukrainian
- https://mistral.ai/news/mixtral-of-experts/
- https://cloud.google.com/translate
- https://www.reddit.com/r/MachineLearning/comments/1452ziq/d_llms_in_languages_other_than_english/
- https://instruct-multilingual-frontend-dtjnk4f6ra-ue.a.run.app/
- https://heidloff.net/article/llm-languages-german/
- https://www.theverge.com/2022/11/2/23434360/google-1000-languages-initiative-ai-llm-research-project
- https://www.theverge.com/2022/7/6/23194241/meta-facebook-ai-universal-translation-project-no-language-left-behind-open-source-model
We mentioned as a possible example the idea of translating vs locally-generating a French employment contract in France. This was in relation to our AI legaltech startup https://www.genieai.co
**Watch Using AI on YouTube (and see our daft AI-generated background images)**: https://www.youtube.com/@genieai
**Share the show with friends and family using the all-platforms show link here:** https://podcasters.spotify.com/pod/show/using-ai
Please follow the show, and leave us a review when you get a chance!
Thanks,
Alex, Alex and Rafie
---
Send in a voice message: https://podcasters.spotify.com/pod/show/using-ai/message
37 min