hstkj (@hstkj) • Hey
hstkj (@hstkj) • Hey
Publications
- Every time there is a benefit from the lens, I never get it.
- We reached 5000+ followers 🥳🥳🥳
Collecting is free for every follower to say "thank you" 🤗
- I just voted "For" on "Proposal: Building the Future of NFTs: The Rarible Protocol - Arbitrum Integration Proposal [REVISED]" https://snapshot.org/#/arbitrumfoundation.eth/proposal/0x66b953a7cf4de9f6de54e6eb87ae291b5cc62f12c7fed68eba91043607883221 #Snapshot
- I just voted "Option 1 (Only Front)" on "What is the Linea SWAG that you would like to see at upcoming events? " https://snapshot.org/#/linea-build.eth/proposal/0xda4f201a37ea08cf1892418e7b9e88f5687a68dbdc96c3ab22abaa1c7244648e #Snapshot
- **Morning lensfans**
- Should Lens be on its own network or rollup?
- 💥 🚨 💥 🚨 💥 🚨 💥 🚨 💥
Buttrfly Android Beta is here!!!!!!
This is an early beta, so we need users to help test the app on as many devices as possible.
If you see any issues, please send a screenshot with what android version and device you use.
Download:
https://play.google.com/apps/testing/com.buttrfly.buttrflyapp
- Using the BigQuery data I was able to pull the full content of 100% of posts (about 2.5M), and create a word cloud of the most common 1,000 words. Loving the BigQuery dataset, other cool tools & analysis coming soon. Dashboard coming later today to view the word cloud for any given user.
- You can now access a dashboard to view a word cloud of any user's posts: https://lens-wordcloud.streamlit.app/
Some more dashboards coming later today which will be much more useful than this one so stay tuned 😊
- Fine-tuning GPT from Scratch in 15 Minutes with JavaScript
286 views Mar 24, 2023
In this video you'll learn how to build an application that fine-tunes GPT with custom data, from scratch, in less than 15 minutes.
🔗 Codebase - https://github.com/dabit3/gpt-fine-tu...
🔗 Blog Post - https://nader.substack.com/p/supercha...
We'll start by creating a new project and installing the dependencies.
We'll then walk through creating each interaction from modeling the data, to uploading it to OpenAI, and testing it out.
By the end of the video you should be able to build out your own custom models.
0:00 - Introduction
1:16 - Project setup
6:10 - Creating training data
7:22 - Creating local API interface
8:25 - Uploading training data
9:30 - Creating the fine tune with the training data
10:55 - Fetching and listing the fine tunes
11:40 - Testing it out
- Lens pass @ethpass.lens its very very good
- ⚽ 👻 🇦🇷 ⚽ 👻 🇫🇷 ⚽
- Congratulations to the entire Ethereum community on this monumental achievement. Remember this historic day forever by collecting this special ghost on Lens