Tweet Bookmarks

This is a list of tweets that I like and have bookmarked on Twitter.

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  fast.ai

  @fastdotai

  Learn: - Practical Deep Learning https://t.co/rpBZH0ZepX - Deep Learning Foundations https://t.co/VJYtwYIJvL - Computational Linear Algebra https://t.co/mdwfK4DEXu - Intro Machine Learning https://t.co/DsEYPHTBJZ https://t.co/p5iZ4ajvv3

• 

  Mark Tenenholtz

  @marktenenholtz

  I've shared tons of free and inexpensive material for learning machine learning. Combined, their value is easily greater than a $145,092 machine learning degree. Here are the best ones:

• 

  Mark Tenenholtz

  @marktenenholtz

  Someone implemented a framework to allow you to train PaLM (Google’s 540B parameter LM) using the same reinforcement learning strategy as ChatGPT! Open source strikes again. To start, here’s the part where you initially pre-train the model: https://t.co/leJZoOw0mh

• 

  Julia Furst Morgado

  @juliafmorgado

  Following the viral success of my last thread, I compiled a list of 80+ sites that pay writers for technical articles. https://t.co/TRablY2DbA https://t.co/LGRfEYUJvv

• 

  Ankur Goyal

  @ankrgyl

  Exciting news 🎉 Document Question Answering is now a first class citizen in @huggingface transformers! With just 3 lines of code, you can process any document like so: https://t.co/74DfkMG5FB

• 

  Replicate

  @replicatehq

  Another little Christmas gift for you: our DreamBooth API now supports Stable Diffusion 2.1. You can select it with the `trainer_version` option. Read more: https://t.co/xQYobgdZZl

• 

  Lukas Hermann @ Thailand

  @_lhermann

  @Martin_Adams @AtomicNoteTakin Cool! Check out the photography technique style modifiers I'm using, there may be something for you to make those even better: https://t.co/fb777g0ZYu

• 

  Python Hub

  @PythonHub

  semantic-code-search Search your codebase with natural language • CLI • No data leaves your computer. https://t.co/KNOxAyHFeH

• 

  Shu

  @shuding_

  React Wrap Balancer: Simple React Component That Makes Titles More Readable https://t.co/Fil18lQ2IT

• 

  BigCode

  @BigCodeProject

  Announcing a holiday gift: 🎅SantaCoder - a 1.1B multilingual LM for code that outperforms much larger open-source models on both left-to-right generation and infilling! Demo: https://t.co/jypW1SF75t Paper: https://t.co/YV3pzUbYOr Attribution: https://t.co/aE22O79Hnp A🧵: https://t.co/W7uuoifbvH

• 

  Oliver Cameron

  @olivercameron

  📸 @opalcamera has built a beautiful webcam augmented with AI, producing DSLR-like image quality for only $300. They tightly integrated a 4K mirrorless lens, beamforming mics, and computer vision to deliver the best webcam out there. https://t.co/2S6i3fKCaU

• 

  anita

  @anitakirkovska

  Let's ship it🚀 This tutorial will show you how to create your own AI-generated avatars, #nocode style. In total, there are 10 steps, and I've included prompts to get you started. I'd love to see the photos you generate - send them my way!📸 https://t.co/WgG8ZqjaTb

• 

  AK

  @_akhaliq

  project page: https://t.co/17oBqIWUBT github: https://t.co/2iDQQKR0hY

• 

  Max Bain

  @maxhbain

  @OpenAI 🧵[4/n] The result is word-level timestamp output. See more examples and try it yourself at https://t.co/s1FGejwWk4

• 

  Shahbuland Matiana

  @shah_bu_land

  After months of hard work (coding for research MLE -> software dev is quite a jump), we launched CHEESE yesterday! It'll sound CHEESEy but I think I came a long way working on this. If you wanna run some human feedback experiments, give it a try! https://t.co/tClWpJZyZ5

• 

  Aman Jha

  @amanjha__

  For those struggling with getting started with @openai embeddings: https://t.co/w1VBv1YXzI

• 

  Lior⚡

  @AlphaSignalAI

  We just reviewed the 1451 AI papers published in the last week (Dec 6-Dec 15). Here are the top 3 must-reads, with simple TLDRs: https://t.co/RNe47wsNpq

• 

  Amjad Masad ⠕

  @amasad

  I think we’re onto something here. https://t.co/ZqBlvzWCOF

• 

  Sam Whitmore

  @sjwhitmore

  ChatGPT is not new technology, just a new interface. You can replicate it pretty closely from existing APIs. All you need is: 1. a good prompt 2. a memory window Here's how to do it using @LangChainAI: 🧵