Sadly this doesnt have a simple way to know how to win besides the ForceEven approach and offering an Anki Deck. I wish there was some more intuition or guidance around winning that humans can memorize
I think the main point is that these two companies have been thought of as equals. Yet OpenAI has a 850B valuation while Anthropic has a 380B valuation. So that means either OAI is overvalued, or Anthropic is undervalued. If you believe they are roughly equal, then it makes sense to have demand for Anthropic.
Cute story. This reminded me how in elementary school and middle school I used to draw pencil drawings of rollercoasters on my page to pass the time. Rollercoaster tycoon fan :)
Its missing the funniest signature. Back when Spain still had monarchy, King Ferdinand VII simply signed his signature “Yo el Rey” - literally “I, the king”.
Cool idea. One thing the author might like: if you sign up to lastfm, it tracks all of your music plays. So you can go through the data and see what you were listening yo each month/week
Finetuning is pretty much necessary for regression tasks. Also useful for classification since you can get the direct probabilities in case you want to do some thresholding.
From what i read, this post doesnt announce we’ve found some crazy extremophile unicellular microbe. Just that there is evidence to suggest they are there (due to the chemical makeup of soil/boreholes).
Imagine it’s raining, or they come really fast. Even if not so, it is always expected to tip the person doing delivery. That’s just the custom, like tipping in restaurant or tipping the bartender is the custom.
A very wholesome read. Thank you for sharing. I’ve never been so into outdoors/camping/fishing, but it made me reflect on some of my adventure trips I’m doing right now while I’m still young. And maybe these will be talked about in my future family.
Concat could work too although less efficient because you need to make a new tensor.
Actually summing might learn a concat on its own. Imagine the embedding learned for a token takes up the first N-20 dimensions and leaves the last 20 dimensions as 0. And the positional encoding causes the first N-20 dims to be 0 and the last 20 to encode the information. Then when you sum you are actually concatenating. So I think of them as equivalent except add is more efficient/preserves the dim space, while concat would grow the dim space. And for something like position, which certainly does not need to occupy 1000+ dimensions, it would not make sense to concat all of that since it would be wasteful
Gopro has this cool reliable aura around them. How could they he struggling? So bizarre