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The introduction of larger AI models has transformed the world. Research and development teams are now creating specialized versions of AI. Following the digital revolution after COVID-19, where businesses shifted online, we are currently witnessing another revolution as we move towards AI-driven processes, work, and support.

🌟 Highlights

AI and the American Smile: Creating images that transport us to different times and cultures is captivating. However, why does AI sometimes generate a forced smile or fail to understand cultural nuances? 

Maximizing the Potential of LLMS: Prompt engineering is an emerging skill known as Applied Robopsychology. Discover how it has become a game-changer in the field of AI. 

AI Concept Architecture: AI can offer visionary concepts for architecture, inspiring future generations. Learn how it contributes to sustainable and environmentally friendly living spaces.

Visual Studio Code Copilot: Will AI replace software developers? It's only a tool like a calculator for mathematicians, some might say. But Copilot is boosting performance by a few numbers!

ℹ️ News

WebGPU Release: The Chrome team has introduced WebGPU in the latest version, enabling the potential for running machine learning models directly in your browser. Take a look at this example here to explore the increased accessibility of ML models on local machines. 

AI-Enhanced Glasses: Imagine having AI integrated into your glasses, assisting with voice recognition and conversation. Learn more here.

📌 Must Reads

Defining Intelligence with GPT-4: To define intelligence, we need some tools. Here is a great report on how GPT-4 is having sparks of intelligence. It is becoming something more than a pure machine learning model.

Will AI take our jobs and end human history?: Addressing the pressing question of whether AI will replace humans in various job roles, this article provides a nuanced perspective. Dive into the details.

"Bringing Computational Knowledge to ChatGPT with WolframAlpha": ChatGPT's confident yet occasionally erroneous responses are intriguing. This article explores the integration of computational knowledge into the GPT model.

💡 Tips & Tricks

"Cheating Is All You Need": Even with its capabilities, AI falls short when handling entire projects. Discover how to leverage its strengths while complementing it with human expertise. Find out more here.

"GPT-4 Unicorn Drawing": Explore an intriguing concept showcasing the improvement of the GPT-4 model over time through a unicorn drawing. For more context, refer to the research on "Sparks of Artificial General Intelligence" in the must-read section.

Sincerely,
Codestories Team