AI
AI leaderboards are no longer useful. It's time to s...
What spending $2,000 can tell us about evaluating AI agents
AI existential risk probabilities are too unreliable...
How speculation gets laundered through pseudo-quantification
Scientists should use AI as a tool, not an oracle
How AI hype leads to flawed research that fuels more hype
AI Snake Oil is now available to preorder
What artificial intelligence can do, what it can't, and how to tell the diffe...
AI safety is not a model property
Trying to make an AI model that can’t be misused is like trying to make a com...
A safe harbor for AI evaluation and red teaming
An argument for legal and technical safe harbors for AI safety and trustworth...
How Transparent Are Foundation Model Developers?
Introducing the Foundation Model Transparency Index
Building LLM Applications With Vector Databases
As a Machine Learning Engineer working with many companies, I repeatedly enco...
Adversarial Machine Learning: Defense Strategies
The growing prevalence of ML models in business-critical applications results...
LLM For Structured Data
It is estimated that 80% to 90% of the data worldwide is unstructured. Howeve...
Strategies For Effective Prompt Engineering
When I first delved into machine learning, prompt engineering seemed like a n...
Reinforcement Learning From Human Feedback (RLHF) Fo...
Reinforcement Learning from Human Feedback (RLHF) has turned out to be the ke...
LLM Evaluation For Text Summarization
Text summarization is a prime use case of LLMs (Large Language Models). It ai...
