The 7 Statistical Concepts You Need to Succeed as a Machine Learning Engineer
When we ask ourselves the question, " what is inside machine learning systems? ",…
Category: Machine Learning
ExpertLens: Activation Steering Features Are Highly Interpretable
This paper was accepted at the Workshop on Unifying Representations in Neural Models (UniReps) at…
Charting the future of AI, from safer answers to faster thinking
MIT PhD students who interned with the MIT-IBM Watson AI Lab Summer Program are pushing…
Introducing the File Search Tool in Gemini API
File Search is a fully managed Retrieval Augmented Generation (RAG) system built directly into the…
Google Finance adds AI features for research, earnings and more
Learn more about the new Google Finance, including new features like Deep Search and prediction…
AI and learning: A new chapter for students and educators
How Google approaches AI and education, from our tools to our commitment to responsibility.
MIT researchers propose a new model for legible, modular software
The coding framework uses modular concepts and simple synchronization rules to make software clearer, safer,…
Data Engineering in the Age of AI
Much like the introduction of the personal computer, the internet, and the iPhone into the…
Jensen Huang Gets It Wrong
In a recent newsletter, Ben Thompson suggested paying attention to a portion of Jensen Huang’s…
PolyNorm: Few-Shot LLM-Based Text Normalization for Text-to-Speech
Text Normalization (TN) is a key preprocessing step in Text-to-Speech (TTS) systems, converting written forms…