AI is the new electricity and will transform and improve nearly all areas of human lives.
This is the theme of DeepLearning.ai. The one site that I took for many courses about AI lately.
I think I understand more about AI, so this is some parts of conclusion that I want to share.
- Good Transform result need quite a lot of compute power. If you have not much of continuous work to transform, using Public AI may get you better result, with cheaper cost.
- Some of business need to comply PII. I recommended doing local LLM for anonymization. eg, liquification and health related. In case you have budget enough. Doing rent part of large Public AI LLM to be Private AI LLM may still cheaper than provide all structure by yourself.
- One more conclusion I get from my test project, I need to learn docker. As I use to work in older environment, understand better in docker help a lot.
Note: I use to works in docker environment when work with HAAS (Home Assistant) before. However HAAS work in local environment and no need to do cloud part. I took two courses in this for compensate that kind of lack of knowledge.
For my lesson learn on this, I think the kind of work I am looking for now related some level to AI, as know AI should be in most part of the work. Need some advanced level of database and network knowledge. Applying on cloud-based and need a lot of dedication.
I will put this to LinkedIn too in case some one want to learn more about this.