Build an Inference Cache to Save Costs in High-Traffic LLM Apps
Large language models (LLMs) are widely used in applications like chatbots, customer support, code assistants, and more.
Large language models (LLMs) are widely used in applications like chatbots, customer support, code assistants, and more.
Conditional diffusion models appear capable of compositional generalization, i.e., generating convincing samples for out-of-distribution combinations of conditioners, but the mechanisms underlying this ability remain unclear. To make this concrete, we study length generalization, the ability to generate images with more objects than seen during training. In a controlled CLEVR setting (Johnson et al., 2017), we …
Read more “Local Mechanisms of Compositional Generalization in Conditional Diffusion”
This post was written with Dominic Catalano from Anyscale. Organizations building and deploying large-scale AI models often face critical infrastructure challenges that can directly impact their bottom line: unstable training clusters that fail mid-job, inefficient resource utilization driving up costs, and complex distributed computing frameworks requiring specialized expertise. These factors can lead to unused GPU …
Read more “Use Amazon SageMaker HyperPod and Anyscale for next-generation distributed computing”
AI is presenting a once-in-a-generation opportunity to transform how you work, how you run your business, and what you build for your customers. But the first wave of AI, while promising, has been stuck in silos, unable to orchestrate complex work across an entire organization. True transformation requires a comprehensive platform that connects to your …
Echelon, an artificial intelligence startup that automates enterprise software implementations, emerged from stealth mode today with $4.75 million in seed funding led by Bain Capital Ventures, targeting a fundamental shift in how companies deploy and maintain critical business systems. The San Francisco-based company has developed AI agents specifically trained to handle end-to-end ServiceNow implementations — …
Read more “Echelon’s AI agents take aim at Accenture and Deloitte consulting models”
The impressive and unique Motorola Razr Ultra sees an appealing post-Prime Day discount.
Added to my custom nodes, just install from ComfyUI Manager (search “CrasH Utils”) and add the Snake Game node. When focused on the node you can use the arrow keys on your keyboard to control it. https://github.com/chrish-slingshot/CrasHUtils I have no idea what possessed me to do this but I’m so glad I did. submitted by …
You’ve written Python that processes data in a loop.
Available in preview via the API, our Computer Use model is a specialized model built on Gemini 2.5 Pro’s capabilities to power agents that can interact with user interfaces.
Video Joint Embedding Predictive Architectures (V-JEPA) learn generalizable off-the-shelf video representation by predicting masked regions in latent space with an exponential moving average (EMA)-updated teacher. While EMA prevents representation collapse, it complicates scalable model selection and couples teacher and student architectures. We revisit masked-latent prediction and show that a frozen teacher suffices. Concretely, we (i) …
Read more “Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers”