Alyx1337

Most engineers focus on the algorithm or the model in the AI space. Doing so, they forget the most essential and time-consuming part: ensuring your project is practical and accessible to your end-user. This post looks at two real-life use cases of how to build AI projects focused on the end-user.

Thank you very much!

Thanks! There are ways to shave off the latency: hosting locally, using quantized/smaller models, streaming data instead of doing the tasks sequentially

That was exactly my thought haha, I want Jarvis at home. You could easily modify my code to run a local LLM instead

Great! What do you guys have in mind in terms of products using these tools. Yeah unfortunately it's hard to shave on latency.

Uh oh I hope I'm not in trouble

Deepgram advertised itself as being the fastest, and I wanted to focus on limiting response delay so I chose it. I hope I did not get misled.

How did you find these? I was literally looking for tutorials all day long and could not find something. These projects look insane!