sbassi

Villa Gesell as featured on X-Men is wrong.

what is the size of the circle?

A useful data to know about this setup is how many tokens/sec generates.

It's a trade off.

For local LLM there are Ollama and LM Studio. How is this different?

I was at an antique shop in Alameda about to buy a pulp sci-fi book. It was just a couple of bucks, nothing expensive. But the card reader wasn't accepting my Apple Pay. Another guy shopping there offered to pay for me. I told him I could Venmo or PayPal him the money, but he wouldn't take it. It wasn't a big deal in terms of money, but he didn't have to do that

where do you live?

it depends of the sample. usually you have at least 1200, with a guaranteed of at least 800, so maybe he could ask for a refund.

yes, the difference here is that the $1000 tag is "at-scale price". You reach that price point by running multiple sequencing with a set of reactive.

Which data uses for training?

Shameless plug: made a parquet conversion utility: pip install parquetconv

It is a command line wrapper to generate a Pandas SF and save it as CSV (or the other way around)

"...the investigator thought that Tesla was being collaborative with the investigation at the time..."

So this is also a failure of the investigator.

thank you. Is there any "docker host" or centralized repo where I can pull VMs from?

There are python and node environment for this, so they are not VMs in the sense that I can host a OS and arbitrary executables?