Not seeing any pricing info on the models[1] page. Wonder how much of a lift this is over paying providers directly. Perhaps Cloudflare is doing this at cost? Also interesting that zero data retention is not on by default, and is not supported with all providers[2]. Finally, would be great if this could return OpenAI AND Anthropic style completions.
For the purposes of an llm "reading" a pdf, it just renders it as an image. The file format does not matter. Let's say you have documents that already exist, a robust ocr solution that can handle tables and diagrams could be very valuable.
Even with regular 5G (sub 6 ghz) you'd take advantage of improvements over LTE like massive MIMO and more precise beamforming. All leading to more people using a network at the same time. Also anecdotally I've found that at music festivals, when cellular data doesn't work, texting or calling usually works fine (At least on AT&T)
Usually you include the database schema in the context, usually by showing the CREATE statement for the tables you want to query. I've also found that including comments in the CREATE sql can guide the model somewhat. The best approach is probably to finetune one of these models using curated questions for your database.
Passthrough also is pretty poor quality, enough to navigate a room but too blurry to read text and the cameras don't handle phone screens that well. Definitely usable but you'll notice you're still wearing a headset.
Cars nowadays have radars and cameras that (for the most part) prevent you from running over pedestrians. Is that also a tool refusing to work? I'd argue a line needs to be drawn somewhere, LLMs do a great job of providing recipes for dinner but maybe shouldn't teach me how to build a bomb.
Type hints in python also work great with vscode (and probably other IDEs) as it can offer better autocomplete suggestions for things like function parameters.
A user probably sent the report further down the road. Hazard reporting should pin the location right when you pull up the list of options, I think Waze does this when you click the report button.
I think the problem is the majority of people don't know that airdrop isn't actually anonymous, sure there are workarounds but it doesn't matter if 99% of users don't follow them.
I'm assuming you're spinning up an EC2 instance for each lab. What do you think about using pre-built docker images for each challenge instead? that way they can spin up in just a couple of seconds. Might also be cheaper?
I was curious as to how effective scrubbing was, turns out Packed Tower Wet Scrubbers can filter out 99%+ of VOCs from incinerated plastic. You still get carbon emissions however.