The AI Canvas Newsletter #2
Explore the latest AI innovations: DALL-E 3's detailed image creation, AlphaMissense's genetic mutation classification, and Microsoft...
The AI Canvas Newsletter #2
The AI Canvas: Your weekly palette of inspiration, insights, and innovation in the world of AI.
- 🎨 DALL·E 3: OpenAI’s answer to Midjourney
- 🔬 AlphaMissense: Advancing Genetic Research and Diagnosis
- 💼 Microsoft Copilot: Your New Windows AI Companion
Written by Oli Wilkins.
DALL·E 3
DALL·E 3, the latest innovation in text-to-image systems, offers an impressive level of detail and accuracy. With its integration into ChatGPT, it becomes a powerful tool for effortlessly transforming your ideas into precisely tailored images, all while maintaining a focus on safety and ethical usage. Available in October for ChatGPT Plus and Enterprise customers, DALL·E 3 opens new creative possibilities.
Read more of OpenAI’s blog here.
AlphaMissense: Unveiling the Mystery of Genetic Mutations for Disease Diagnosis
DeepMind introduces AlphaMissense, an innovative AI tool capable of classifying the effects of 71 million 'missense' mutations with remarkable accuracy. This breakthrough promises to expedite genetic research, enhance our understanding of disease-causing mutations, and potentially revolutionise the diagnosis and treatment of rare genetic disorders. Discover how AlphaMissense's predictions are accelerating research and collaboration within the scientific community, paving the way for new discoveries in genomics and biological science.
Deep Mind released the announcement on their blog here.
Microsoft Copilot: Navigating the New Era of AI
Microsoft is introducing Microsoft Copilot, an AI companion that seamlessly integrates with Windows 11, Microsoft 365, Bing, and Edge. It provides contextual assistance across different applications, making it easier to improve productivity, foster creativity, and simplify tasks. Copilot aims to redefine our interactions with technology in a practical way.
You can read more here.
Antropic: Prompt engineering for Claude's long context window
Claude’s 100,000 token long context window enables the model to operate over hundreds of pages of technical documentation, or even an entire book. As we continue to scale the Claude API, we’re seeing increased demand for prompting guidance on how to maximize Claude’s potential.
Dirty Secrets of BookCorpus, a Key Dataset in Machine Learning
A closer look at BookCorpus, the text dataset that helps train large language models for Google, OpenAI, Amazon, and others
A Look At Apple’s New Transformer-powered Predictive Text Model
At WWDC earlier this year, Apple announced that upcoming versions of iOS and macOS would ship with a new feature powered by “a Transformer language model” that will give users “predictive text recommendations inline as they type.
MIT Course: TinyML and Efficient Deep Learning Computing
MIT has a free course on AI computing techniques, enabling deep learning application on devices such as your laptop. In this course, you will gain hands-on experience deploying models like LLaMA2 with full slides and lab assignments.
Guide to Understanding the Intuition Behind the Dirichlet Distribution
Learn about the Dirichlet distribution and explore how it’s just a fancier version of the Beta distribution.
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