Tech & Society
Stable Biases: Stable Diffusion may amplify biases in its training data.
Stable Diffusion may amplify biases in its training data in ways that promote deeply ingrained social stereotypes.
Analytics DeepLearning.AI
The Batch Newsletter
Stable Biases, Jobs at Risk, Efficient Robot Training, Banks Embrace AI
The Batch - AI News & Insights: Internalizing this mental framework has made me a more efficient machine learning engineer: Most of the work of building a machine learning system is debugging rather than development.
Letters
Building Machine Learning Systems is More Debugging Than Development: Traditional software development requires meticulous planning. With machine learning, it's better to jump right in.
Internalizing this mental framework has made me a more efficient machine learning engineer: Most of the work of building a machine learning system is debugging rather than development.
Machine Learning Research
Bug Finder: A system that provides feedback with near human-level accuracy
One challenge to making online education available worldwide is evaluating an immense volume of student work. Especially difficult is evaluating interactive computer programming assignments such as coding a game.
Science
Letting Chatbots See Your Data: Coding framework LlamaIndex enables data interaction with LLMs
A new coding framework lets you pipe your own data into large language models. LlamaIndex streamlines the coding involved in enabling developers to summarize, reason over, and otherwise manipulate data from documents, databases, and apps using models like GPT-4.
Tech & Society
Making Government Multilingual: This app is bridging the language gap between the Indian government and its citizens
An app is bridging the language gap between the Indian government and its citizens, who speak a wide variety of languages. Jugalbandi helps Indians learn about government services, which typically are described online in English and Hindi, in their native tongues.
Tech & Society
The Secret Life of Data Labelers: The concerning working conditions of data labelers
The business of supplying labeled data for building AI systems is a global industry. But the people who do the labeling face challenges that impinge on the quality of both their work and their lives.
The Batch Newsletter
The Secret Life of Data Labelers, Letting Chatbots See Your Data, Making Government Multilingual
The Batch - AI News & Insights: Prompt-based development is making the machine learning development cycle much faster: Projects that used to take months now may take days.
Letters
AI at the Speed of Prompting: Prompt-based development enables you to try out ideas quickly and cheaply — no need to scope projects carefully.
Prompt-based development is making the machine learning development cycle much faster: Projects that used to take months now may take days. I wrote in an earlier letter that this rapid development is causing developers to do away with test sets.
The Batch Newsletter
Meta’s Generative Strategy, Robots Invade Mechanical Turk, U.S. Gears Up to Regulate, Better Fine-Tuning
The Batch - AI News & Insights: Suddenly it seems like everyone wants to regulate AI. The European Union is on the verge of enacting a comprehensive AI Act that’s intended to mitigate risks and protect individual rights.
Letters
What Lawmakers Need to Know About AI: Few people in the world have the information required to regulate AI effectively. Governments need to get it.
Suddenly it seems like everyone wants to regulate AI. The European Union is on the verge of enacting a comprehensive AI Act that’s intended to mitigate risks and protect individual rights. In the United States, Senate Majority leader Chuck Schumer foresees legislation possibly within months.
Machine Learning Research
Finer Tuning: Surgical fine-tuning modifies layers based on data differences.
Fine-tuning a neural network typically involves retraining every layer on new data. But research shows that networks may perform better when fine-tuning modifies only a subset of layers.