"a finance person who knows python is just going to be more powerful" 100% agree!! Great session yesterday on AI in finance @sashaorloff@puzzlefin@FEInews
@ycombinator@koomen Agreed 100%, it's glue and/or custom apps, but potential for Ai generated code to efficiently solve company-specific tasks is big - see use case #3 in article I wrote: https://t.co/BNulBT8CiP
really great event @DeepLearningAI ! various resources I didn't know about including @arizeai community paper reading and some X accts and youtube channels, many thanks!
https://t.co/jRLxPpP6sG
interesting evolution: multi-modal LLM with text content and spatial layout training data. key observation there is a connection between content and text position on structured document. definite applicability in finance and accounting. #ai#Accounting
https://t.co/3lvhKVY0Kz
We want to express our heartfelt thanks to @johnniewalker and @rooledinc for organizing a truly unforgettable dinner at the prestigious Harvard Club of NYC. It was a wonderful chance to connect with an extraordinary community of investors, founders, and operators in such an iconic location. These events are vital in fostering valuable relationships and sparking fresh and innovative ideas.
If you are a small business owner or a startup founder needing accounting and CFO support services, look no further than @rooledinc . They offer tailored solutions and unparalleled assistance to help take your business to new heights effortlessly.
AI is enhancing productivity in non-career programmers as well; really interesting will be combination of functional expertise with programming bkground; now feasible to build worthwhile apps for specialized use cases that r valuable #ArtificialIntelligence#softwareengineer
"AI will not take a lawyer’s job, but a lawyer that uses AI will take the job of a lawyer that does not use AI" -- have to think will apply in finance/accounting as well... @PracticalAIFM https://t.co/lii72cuTxy
Code interpreter's self-correction based on errors generated is great. And after you're done a simple download of the SQLite DB capturing all the dataframes created and request code to extract. Gets you 80% of the way there in 20% of the time...