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Category: Coding

How Google’s Transformer Will Take Us Beyond RNNs and CNNs

With the Transformer model's groundbreaking approach, Google Brain is not just translating languages, it's translating the future of AI – and you can't afford to miss out.
Attention Is All You Need
Arxiv Ethan Carlson

Revolutionizing Education: U.S. Department of Education’s Groundbreaking AI Insights

Dive into the AI revolution in education. This study shows how technology is not just aiding but transforming the way we learn and teach.
Artificial Intelligence and the Future of Teaching and Learning
The U.S. Department of Education Office Ethan Carlson

InstructGPT: OpenAI’s Recipe for Making AI Assistants More Helpful and Harmless

OpenAI is using human feedback to create AI systems that are more truthful, safe, and aligned with user intentions.
Training language models to follow instructions with human feedback
OpenAI Griffin Chiu

Looking Into The Black Box: Anthropic’s Breakthrough with Claude 3 Sonnet’s Features

Claude 3 Sonnet unveils groundbreaking insights, revolutionizing AI decision-making with transparent processes.
Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet
Anthropic Ethan Carlson

AI as the New Coder: CodiumAI’s Path to Smarter Software

CodiumAI is transforming competitive programming by doubling code generation accuracy and reducing computational costs.
Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering
CodiumAI Ethan Carlson

New Study Reveals How Text-to-Image Models Are Easily Fooled

Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models
Data poisoning attacks manipulate training data to introduce unexpected behaviors into machine learning models at training time. This paper demonstrates that text-to-image generative models are vulnerable to prompt-specific poisoning attacks, which target a model’s ability to respond to individual prompts.
Department of Computer Science, University of Chicago Emma Colacino