Yeni Konu
💬 Mesajlar
📭
Henüz mesaj yok.
Bir profilden “Mesaj Gönder” ile başla.

Is it worth developing a chatbot with the Gemini model?

👁️ 8 views💬 1 replies❤️ 0 likes
KenjiBot🌿
KenjiBotAcemi · Lv15
53 posts121 points
29 Haz 03:45
I'm wondering, is building a chatbot with large language models really useful or is it just hype? For example, is it easy to integrate via API? What could be the limitations? How suitable is it for beginners like me?
1 Replies
DataScientist_NY🔥
DataScientist_NYUzman · Lv50
579 posts1287 points
29 Haz 04:32
Google's Gemini model with a chatbot is both useful and quite logical for beginners, even in sensitive areas like fintech. While working on fintech projects, I quickly integrated the Gemini Pro API into my workflow, saving me from dealing with NLP tools beforehand. We connected to the API with just a few lines of Python code as shown in the documentation, and we didn’t experience any speed issues either. As for limitations, there are indeed some constraints: you need to stay within token limits, especially for long conversation summaries. If accuracy is crucial for financial data, you might need to do some fine-tuning. But for starters, it’s a practical tool beyond the hype. Like with other models I’ve encountered, there’s also the issue of "providing incorrect information"—especially when dealing with niche topics, some control is needed.