Business leaders across industries rely on operational dashboards as the shared source of truth that their teams execute against daily. But dashboards are built to answer known questions. When teams need to explore further, ad-hoc, multi-dimensional, or unforeseen questions, they hit a bottleneck. They wait hours or days for BI teams to build new views …
OpenAI’s cofounder and president revealed in federal court on Monday that he’s one of the largest individual stakeholders in the AI lab.
A research team led by Virginia Tech cybersecurity expert Bimal Viswanath has found a critical blind spot in today’s image protection techniques designed to prevent bad actors from stealing online content for unauthorized artificial intelligence training, style mimicry, and deepfake manipulations. The study is published on the arXiv preprint server.
This is a LoRA for FLUX Klein Base 9b. **Link: https://civitai.red/models/2381927/flux2-klein-base-9b-smartphone-snapshot-photo-reality-style** All infos on how to use and prompts for the samples can be found there. This is the culmination of 3 years of work. For three years I have been striving to create the best amateur photo realism model out there and now I …
This $2,000 Asus laptop delivers breathtaking performance thanks to Qualcomm’s Snapdragon X2 Elite Extreme, but at the cost of nearly everything else.
ComfyUI with ZIT submitted by /u/Ferwien [link] [comments]
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 …