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.
const voiceId = '' // Pick any voice ID from https://docs.elevenlabs.io/api-reference/voices | |
const model = 'eleven_monolingual_v1' | |
const elUrl = `https://api.elevenlabs.io/v1/text-to-speech/${voiceId}/stream?optimize_streaming_latency=3` // Optimize for latency | |
const codec = 'audio/mpeg' | |
const maxBufferDuration = 60 // Maximum buffer duration in seconds | |
const maxConcurrentRequests = 3 // Maximum concurrent requests allowed | |
// Create a new MediaSource and Audio element | |
const mediaSource = new MediaSource() | |
const audioElement = new Audio() |
# powershell completion for pnpm -*- shell-script -*- | |
Register-ArgumentCompleter -CommandName 'pnpm' -ScriptBlock { | |
param( | |
$WordToComplete, | |
$CommandAst, | |
$CursorPosition | |
) | |
function __pnpm_debug { |
<body onload=z=c.getContext`2d`,setInterval(`c.width=W=150,Y<W&&P<Y&Y<P+E|9<p?z.fillText(S++${Y=`,9,9|z.fillRect(p`}*0,Y-=--M${Y+Y},P+E,9,W),P))):p=M=Y=S=6,p=p-6||(P=S%E,W)`,E=49) onclick=M=9><canvas id=c> |
I started using React Native in September 2018. I always forget some things when I build new apps, so I'll keep track of the gotchas on this post.
Some topics, such as navigation, will be fundamental to how I think about apps. Others, will be one-line helpers that make apps work more smoothly.
It's gotten to the point where I find my own answers from 6 months before on certain Github issues.
I'll keep adding over time as I think of more. If anyone thinks these topics would be useful, let me know and I'll elaborate.
I have made libraries to address a number of the topics here, from navigation to design.
a chapter from A Mind-Body Look at the Concept of Asperger's Syndrome (pdf) by Michael Samsel, LMHC
A Hacker News discussion (2021) on this list
In humans, eye contact is the center of the attachment system. In Asperger's Syndrome there is either an avoidance of eye contact (most common) or an unvarying, relative unblinking, staring, constant eye contact (less common). Avoidant eye contact gives an impression of 'having something to hide', and also eliminates a big channel of communication and trust. Staring eye contact, because of its unchanging nature, is also uncommunicative, and is generally experienced as disturbing on the receiving end.
On Twitter the other day, I was lamenting the state of OCSP stapling support on Linux servers, and got asked by several people to write-up what I think the requirements are for OCSP stapling support.
Support for keeping a long-lived (disk) cache of OCSP responses.
This should be fairly simple. Any restarting of the service shouldn't blow away previous responses that were obtained. This doesn't need to be disk, just stable - and disk is an easy stable storage for most server
更新: | 2022-03-18 |
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作者: | @voluntas |
バージョン: | 2022.1 |
URL: | http://voluntas.github.io/ |