What if you could build a self-service AI agent in weeks, not months? Join our live demo to see how our Talk to My Data agentic app lets you query data in plain English, generate insights, and connect sources—no data movement needed. Register: https://
bit.ly/4jQ6RYX
TOOLS
-
Self-Service AI Agent for Data Querying in Weeks
By
–
-
Stable Diffusion 3.5 Models Now Available for Commercial Use
By
–
The optimized models are now available for commercial and non-commercial use under the permissive Stability AI Community License. Weights and code @Huggingface
: https://
huggingface.co/collections/st
abilityai/stable-diffusion-35-671785cca799084f71fa2838
… @Github
: https://
github.com/NVIDIA/TensorR
T/tree/release/10.11/demo/Diffusion
… (2/2) -
Stable Diffusion 3.5 Optimization Delivers 2.3x Faster Generation
By
–
As announced at @NVIDIAGTC today, we've collaborated to optimize Stable Diffusion 3.5 using TensorRT and FP8 quantization. Compared to the base @PyTorch models, these optimizations deliver: 2.3x faster generation with SD3.5 Large 1.7x faster generation with SD3.5 Medium
-
Databricks Summit: Hands-On AI Agent and Data Labs
By
–
At #DataAISummit this week, attendees took part in hands-on labs across a range of technical sessions—gaining practical experience and leveling up their skills on the Databricks platform. Here’s a quick look at what they learned: AI Agent Workflows AI-Powered Data
-
User Reviews Three AI Tools: Genspark, Dia, and Comet
By
–
I’ve used both Genspark and Dia — can’t wait to try out Comet next!
-
Faster Academic Citation Lookup Using PDF Upload
By
–
BTW this is way faster than manually going to the footnotes of a paper to see what each number refers to — even when it turns out it cites a paper you're familiar with; just copy/paste the sentence including cite numbers into a thread which you've uploaded the PDF to.
-
Fast JAX Implementations Delivering State-of-the-Art TPU Performance
By
–
These implementations are very fast — when run with JAX, you'll get state of the art performance. And they all run on TPUs.
-
KerasHub: 70+ Pretrained Models Supporting JAX, TF, PyTorch
By
–
KerasHub is a collection of over 70 popular pretrained model architectures — LLMs, VLMs, image generation models, etc — that work with JAX, TF, PyTorch. They all support HuggingFace checkpoints — you can load any HF model with them for the corresponding architecture.
