adam malik
adamwonktegal
AI & ML interests
None yet
Recent Activity
replied to
jasoncorkill's
post
about 1 month ago
At Rapidata, we compared DeepL with LLMs like DeepSeek-R1, Llama, and Mixtral for translation quality using feedback from over 51,000 native speakers. Despite the costs, the performance makes it a valuable investment, especially in critical applications where translation quality is paramount. Now we can say that Europe is more than imposing regulations.
Our dataset, based on these comparisons, is now available on Hugging Face. This might be useful for anyone working on AI translation or language model evaluation.
https://huggingface.co/datasets/Rapidata/Translation-deepseek-llama-mixtral-v-deepl
reacted
to
jasoncorkill's
post
with 😎
about 1 month ago
At Rapidata, we compared DeepL with LLMs like DeepSeek-R1, Llama, and Mixtral for translation quality using feedback from over 51,000 native speakers. Despite the costs, the performance makes it a valuable investment, especially in critical applications where translation quality is paramount. Now we can say that Europe is more than imposing regulations.
Our dataset, based on these comparisons, is now available on Hugging Face. This might be useful for anyone working on AI translation or language model evaluation.
https://huggingface.co/datasets/Rapidata/Translation-deepseek-llama-mixtral-v-deepl
reacted
to
jasoncorkill's
post
with 👀
about 1 month ago
At Rapidata, we compared DeepL with LLMs like DeepSeek-R1, Llama, and Mixtral for translation quality using feedback from over 51,000 native speakers. Despite the costs, the performance makes it a valuable investment, especially in critical applications where translation quality is paramount. Now we can say that Europe is more than imposing regulations.
Our dataset, based on these comparisons, is now available on Hugging Face. This might be useful for anyone working on AI translation or language model evaluation.
https://huggingface.co/datasets/Rapidata/Translation-deepseek-llama-mixtral-v-deepl
Organizations
None yet
models
0
None public yet
datasets
0
None public yet