The Java Developer’s Dilemma: Part 3
This is the final part of a three-part series by Markus Eisele. Part 1 can…
Category: Machine Learning
Improving Language Model Personas via Rationalization with Psychological Scaffolds
Language models prompted with a user description or persona are being used to predict the…
Google Beam is working with the USO to support military families.
Learn more about Google’s work with the USO and how it plans to launch a…
10 Python One-Liners for Generating Time Series Features
Time series data normally requires an in-depth understanding in order to build effective and insightful…
AI Integration Is the New Moat
The electrical system warning light had gone on in my Kona EV over the weekend,…
Leveraging Power of Large Language Model in Entity Linking via Multi-step Prompting and Targeted Reasoning
Entity Linking (EL) has traditionally relied on large annotated datasets and extensive model fine-tuning. While…
Pico-Banana-400K: A Large-Scale Dataset for Text-Guided Image Editing
Recent advances in multimodal models have demonstrated remarkable text-guided image editing capabilities, with systems like…
Evaluating Evaluation Metrics — The Mirage of Hallucination Detection
Hallucinations pose a significant obstacle to the reliability and widespread adoption of language models, yet…
Memory-Efficient Backpropagation for Fine-Tuning LLMs on Resource-Constrained Mobile Devices
Fine-tuning large language models (LLMs) with backpropagation — even for a subset of parameters such…
Inductive Domain Transfer In Misspecified Simulation-Based Inference
Simulation-based inference (SBI) is a statistical inference approach for estimating latent parameters of a physical…