Tovala Family Meals Review: Good Food, Lots of Salt
Tovala is a meal kit that comes with a smart oven, or a smart oven that comes with a meal kit. New family meals make it much more useful. But lord, the sodium.
Tovala is a meal kit that comes with a smart oven, or a smart oven that comes with a meal kit. New family meals make it much more useful. But lord, the sodium.
Now that we have some open weight models available to us that work with character sheet inputs, here’s a test across the models I have access to, open and closed to see how they compare. An example of the 3 character sheets I used as inputs is at the end of the image stack. Here’s …
Read more “Open weight (and closed) Models with character sheet inputs”
This paper was accepted at the Fifth Workshop on Natural Language Generation, Evaluation, and Metrics at ACL 2026. Tool-calling agents are evaluated on tool selection, parameter accuracy, and scope recognition, yet LLM trajectory assessments remain inherently post-hoc. Disconnected from the active execution loop, such assessments identify errors that are usually addressed through prompt-tuning or retraining, …
Read more “Reinforced Agent: Inference-Time Feedback for Tool-Calling Agents”
By Nipun Kumar, Rajat Shah, Peter Chng Introduction This is the first blog post in a multi-part series that shares technical insights into how our ML model serving infrastructure powers several personalized experiences at scale across various domains (e.g., title recommendations, commerce). In this introductory blog post, we will dive into our domain-independent API abstraction and …
Migrating to Amazon Quick doesn’t have to mean starting from scratch. Your dashboards encode hard-won domain knowledge: calculated fields your analysts perfected, layouts your executives rely on every Monday morning, security rules tuned to your org chart. You want AI-powered insights and serverless scale, but you’re staring at hundreds of dashboards and a migration estimate …
Read more “AWS Transform now automates BI migration to Amazon Quick in days”
As adult riders report new age-verification checks, the self-driving car company says it’s continuing to “refine” its system in places where kids aren’t allowed to ride alone.
As technology advances, and the demand for faster, higher-bandwidth, and more energy-efficient data processing continues to grow, scientists and engineers search for ways to improve electronic systems. One avenue they have been exploring is optoelectronics—the study and application of electronic devices that interface with light by detecting, emitting, or converting it into electrical signals.
I’ll try to keep this as short as possible, but me and a team of people have been working to create an entirely uncensored open source video gen model. We’ve taken one shot at this before, but weren’t happy with results. We saw ltx 2.3 come out, and thought it was the perfect opportunity. Trained …
TurboQuant has recently been launched by Google as a novel algorithmic suite and library for applying advanced quantization and compression to large language models (LLMs) and vector search engines — an indispensable element of RAG systems.
Normalizing flows (NFs) are end-to-end likelihood-based generative models for continuous data, and have recently regained attention with encouraging progress on image generation. Yet in the video generation domain, where spatiotemporal complexity and computational cost are substantially higher, state-of-the-art systems almost exclusively rely on diffusion-based models. In this work, we revisit this design space by presenting …
Read more “STARFlow-V: End-to-End Video Generative Modeling with Normalizing Flows”