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The growth and opportunities will be at the application layer. Training and fine-tuning LLMs doesn't really have that much value. Closed source (OpenAI) models
by hackernoteng 3y ago
The growth and opportunities will be at the application layer.
Training and fine-tuning LLMs doesn't really have that much value.
Closed source (OpenAI) models and Open source models will be the foundation.
As I said running some training/fine-tuning on top of these models and knowing how to do evaluations wont have that much value.
Learn how to build useful applications on top of these things instead.
- boredemployee 3y ago>> Training and fine-tuning LLMs doesn't really have that much value. I'm really not sure about that... seeing people talking about LLMops (as a role) and things like that. Well, let's see.
- kfk 3y agoThe most successful use pf generative AI is a chatbot… once you can use a model with natural language you need less rich UIs. I think UIs will become simpler and value will be in the proprietary data you can manage to grab to adapt existing models to some valuable use cases.
- gremlinsinc 3y agochat is the new ui..imagine going to a bank website and you just enter in the chat - I need to view transactions and pause my debit card. It may then create an action list, and take you to the two links in order, without needing to find a button, or link. That saves a lot of time... In the future with AGI/SGI, though... well -- AI can be the entire app... you want a tax software with the look/feel of quickbooks or same exact functionality no problem... you want a 3d ai avatar that has all those things but interacts via speech, just ask for it... you want a VR version of the original 8bit legend of zelda - just ask. Any software will just be created without any care for frameworks, platform, hosting, etc... it'll be hosted in the 'brain' of the ai.