Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.
Avoid being a link dump. Try to provide only valuable well tuned information.
Neural network links before starting with transformers.
# Check these threads before proceeding: | |
# https://github.com/microsoft/WSL/discussions/5857 | |
# https://github.com/microsoft/WSL/issues/5821 | |
if (-Not ([Security.Principal.WindowsPrincipal] [Security.Principal.WindowsIdentity]::GetCurrent()).IsInRole([Security.Principal.WindowsBuiltInRole] 'Administrator')) { | |
$CmdLine = "-File `"" + $MyInvocation.MyCommand.Path + "`" " + $MyInvocation.UnboundArguments | |
Start-Process -FilePath PowerShell.exe -Verb Runas -ArgumentList $CmdLine | |
Exit | |
} | |
# Restart the Host Network Service | |
Restart-Service -Force -Name hns |
Picking the right architecture = Picking the right battles + Managing trade-offs
#Container Resource Allocation Options in docker-run
now see: https://docs.docker.com/engine/reference/run/#runtime-constraints-on-resources
You have various options for controlling resources (cpu, memory, disk) in docker. These are principally via the docker-run command options.
##Dynamic CPU Allocation
-c, --cpu-shares=0
CPU shares (relative weight, specify some numeric value which is used to allocate relative cpu share)
I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!
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