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package main | |
import ( | |
"context" | |
"log" | |
"time" | |
"go.temporal.io/sdk/client" | |
"go.temporal.io/sdk/worker" | |
"go.temporal.io/sdk/workflow" |
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Parsing command file: config/commands/defaults.sh | |
Parsing command file: config/commands/search.sh | |
Parsing command file: config/commands/edit_linting.sh | |
Parsing command file: config/commands/_split_string.py | |
Parsing command file: config/commands/defaults.sh | |
Parsing command file: config/commands/search.sh | |
Parsing command file: config/commands/edit_linting.sh | |
Parsing command file: config/commands/_split_string.py | |
INFO 📙 Arguments: actions: | |
open_pr: true |
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#include <stdio.h> | |
#include <stdlib.h> | |
#include <math.h> | |
#include <assert.h> | |
#ifndef M_PI | |
#define M_PI 3.14159265358979323846 | |
#endif | |
// Constants for model dimensions, learning rate, etc. |
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## Guild: [Nous Research AI](https://discord.com/channels/1053877538025386074) | |
### Nous Research AI Guild Summary | |
- Discussion on massive image data hosting: Members of the channel explore different options like Amazon S3, local storage, and Hugging Face for hosting TBs of image data from midjourney. The group suggests using **Hugging Face** due to its free storage and high file size limit but acknowledges the risk of a single point of failure. A relevant [YouTube video](https://youtu.be/gqw46IcPxfY) and a [discussion post from Hugging Face](https://discuss.huggingface.co/t/is-there-a-size-limit-for-dataset-hosting/14861/3) were shared for more insights. | |
- An engaging dialogue took place concerning AI and music transformation, with reference to Google's project, followed by deep disappointment in AI cutting-edge technology not being open source. AI's potential in game playing, especially at pixel-level was also touched upon through sharing an [old Python project](https://www.youtube.com/watch?v=eQC1JGMIx |
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const { exec } = require('child_process'); | |
// exec(` | |
// git log --reverse -- /Users/swyx/Desktop/Work/airbyte/airbyte-integrations/connectors/destination-amazon-sqs | awk 'NR>1 {print last} {last=$0}; /^commit/ && ++c==2{exit}' | |
// `, (err, stdout, stderr) => { | |
// if (err) { | |
// // node couldn't execute the command | |
// return; |
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1. Introduction | |
2. What are Data Nets? | |
3. Data Nets vs. Data Mesh | |
4. Data Nets vs. Data Contract | |
5. When do you need a Data Net? |
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# https://beta.openai.com/docs/libraries | |
import os | |
import openai | |
import yaml | |
# Load your API key from an environment variable or secret management service | |
openai.api_key = os.getenv("OPENAI_API_KEY") | |
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[ | |
{ | |
"login": "cgardens", | |
"id": 9092207, | |
"node_id": "MDQ6VXNlcjkwOTIyMDc=", | |
"avatar_url": "https://avatars.githubusercontent.com/u/9092207?v=4", | |
"gravatar_id": "", | |
"url": "https://api.github.com/users/cgardens", | |
"html_url": "https://github.com/cgardens", | |
"followers_url": "https://api.github.com/users/cgardens/followers", |
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<?xml version="1.0"?> | |
<opml version="1.0"><head><title>Overcast Podcast Subscriptions</title></head><body> | |
<outline type="rss" | |
text="Editor's Picks from The Economist" title="Editor's Picks from The Economist" | |
xmlUrl="https://rss.acast.com/theeconomisteditorspicks" | |
htmlUrl="http://www.economist.com/"/> | |
<outline type="rss" | |
text="The History of English Podcast" title="The History of English Podcast" | |
xmlUrl="https://historyofenglishpodcast.com/feed/podcast/" | |
htmlUrl="https://historyofenglishpodcast.com/"/> |
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import * as wf from '@temporalio/workflow'; | |
import differenceInMilliseconds from 'date-fns/differenceInMilliseconds'; | |
import type * as activities from './activities'; | |
import { sub } from 'date-fns' | |
const { | |
doMaintenance, | |
notifySubscribers | |
} = wf.proxyActivities<typeof activities>({ | |
// remember to adjust timeouts! |
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