Empowering Early-Stage Startups with AWS Build
VentureBeat recently gave us a sneak peek into Amazon Web Services' (AWS) latest offering. And if you're an early-stage startup, this one's for you!
Making Your AI Work
August 16, 2023
Empower Your Work with Cutting-Edge AI Updates
Midjourney Caption: Showcasing Cloud for Tech Businesses
Greetings AI Admirers
“Artificial intelligence, deep learning, machine learning—whatever you’re doing if you don’t understand it, learn it. Because otherwise, you’re going to be a dinosaur within three years.”
- Mark Cuban
Check Out Our Fine Menu Of AI News For The Week:
(Top Story) AWS’s New Booster for Budding Businesses
Disentangling Data for Better Diagnoses
6 Tips To Fast-Track your Prompt Engineering Journey
(Research Paper) Evaluating Social Biases in Masked Language Models
Midjourney Prompt: a StartUp teaming finding success in the Cloud
(Top Story) AWS’s New Booster For Budding Businesses!
VentureBeat recently gave us a sneak peek into Amazon Web Services' (AWS) latest offering. And if you're an early-stage startup, this one's for you! Introducing AWS Build - a 10-week, fully virtual accelerator program dedicated to pre-seed startup founders globally.
Here's the deal:
Accelerator runs from October 9 to December 15, 2023.
Get access to a smorgasbord of resources, from QA sessions, open forums, streaming talks by AWS gurus, and much more.
The cherry on top? Startups will be set to launch their Minimum Viable Product (MVP) by program's end
Got your attention? There's more. If selected (and they're taking a whopping 500 companies for the inaugural run!), you can:
Enjoy up to $2,000 in AWS credits.
Dive deep into AWS's vast technical knowledge pool.
Oh, and don’t stress about giving away a slice of your company; AWS ain’t interested in equity.
Read the full article here > Link
Disentangling Data For Better Diagnoses
Researchers from the University of Waterloo are turning the AI game on its head with their brand-new model, Pattern Discovery and Disentanglement (PDD).
Ever wonder why AI sometimes gets things hilariously wrong?
Blame the entangled data! Especially in healthcare, where misjudging patterns can lead to problems like misdiagnoses. Thanks to Dr. Andrew Wong & Co., PDD is a new way to have AI decipher even the trickiest patterns. The best part? Everything the AI concludes can be explained in detail. Wanna dive deeper into the genius behind PDD?
Read the full article here > Link
6 Tips To Fast-Track Your Prompt Engineering Journey
Generative AI is making waves, and prompt engineering is like the Firewire REVO everyone's keen to ride. Other than the fact that prompt engineering salaries are looking extremely tempting, this new role is crashing into a sweet-spot between AI and creativity. But it isn’t just about asking a tsunami of questions.
1. AI, ML & NLP Know-how: Take the time to understand the mysteries of large language models. Know their strengths and quirks.
2. Clarity is King: It's all in the ask. Be clear, be concise, and make that AI work for you.
3. Chit-chat Champion: Think of your AI tool as a quirky colleague. Take the conversation places. The chat is where the magic happens.
4. Channel Your Inner Bard: Ever fancied Shakespearean chatbots or pirate-style legal docs? This is your playground!
5. Coding Coolness: Because scripting and programming skills? Pure Gold!
Lastly, Become a Connoisseur of Learning! The world of AI is quick-paced and it’s essential to keep up. Voracious learning is the ticket.
Read the full article here > Link
(Research Paper) Evaluating Social Biases in Masked Language Models
Masked Language Models (MLMs) are revolutionizing Natural Language Processing (NLP) with their superior performance.
Yet, they're not without flaws, notably significant social biases.
Current methods to measure these biases are flawed, often overestimating them. Enter "Unmasking the Mask" by Kaneko and Bollegala. They introduce two groundbreaking bias evaluation measures: All Unmasked Likelihood (AUL) and AUL with Attention weights (AULA). These tools offer a more accurate lens to detect biases in MLMs, challenging previous metrics. If you're keen to delve into the intricacies of biases in NLP and discover innovative solutions, this paper is a must-read.
Get The Paper here > Link
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Thanks so much for reading! Until next time,