Hybrid local and cloud LLM stack for regulated financial document processing?
The article discusses the complexities of implementing a hybrid local and cloud LLM stack for processing regulated financial documents. It emphasizes the importance of investing in the right expertise and hardware to avoid potential pitfalls. Additionally, it highlights the significance of long-term maintainability and security in system development.
- ▪Investing in the right expertise is crucial for successful implementation.
- ▪Local AI solutions offer privacy benefits but may not always be cost-effective.
- ▪Long-term maintainability and security are essential considerations for system development.
Opening excerpt (first ~120 words) tap to expand
There are so many variables here. My question is how much do you have to invest into getting it done right?Local has come a long way, but it is still limited and slow. And while there are some people who have done stuff like this, the field is so new that you're probably going to get someone that doesn't have direct experience with everything. In other words, they're going to get stuff wrong. You will have to rebuild some part of it. You might not purchase the right hardware. Can you live with this?In all fairness, though, if you have someone who has experience in evaluating new systems and using them to build something, then you can still be in good shape. I mentioned this, simply because it's a skill that is not as common as we would like in this world.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Ycombinator.