303 karma · joined November 13, 2020
FWIW running the 30B alpaca-lora model quantized to 4-bit via llama.cpp has given me great results, and while I don’t expect much of an improvement from 65B at FP16, 65B will probably perform better than 30B when quantized
The interesting next steps in my head are more focused around curating a better instruction-tuning dataset using GPT-4, then fine-tuning again, and integrating the LangChain project with the resulting agent
However, I’m struggling to square that fact with the observation that the Wikipedia table shows a number of entries >100%. How could government spending ever exceed 100% of GDP given it is counting toward GDP?
Also- based on my cursory reading here, it seems disingenuous to claim 46% of GDP is government spending- the stat is that government spending is comparable to 46% of the GDP of that year. Government spend doesn’t comprise 46% of the GDP, rather we are using GDP as a measuring stick to evaluate the sanity of government spending amounts.
I think I just discovered a dangerous new rabbit hole…
I am interested in doing so outside of the traditional VC models and tech sector, but the signal to noise ratio of information on building businesses is incredibly low on the web.
Say an exec makes Jassy’s base and has a large equity packages. Do banks feel comfortable writing loans against to-be-vested RSUs? I’d imagine they count RSU vesting as heavily discounted future cash flow.. but not sure.
Plus there is significant volatility in the actual value they bank at the end of the day- sure, speaking on normal terms having an equity package fluctuate at this scale isn’t significant to an individual’s finances, but might be to a bank underwriting, say, a recent Snap exec’s loans…