article thumbnail

Deploying the Magistral vLLM Server on Modal

KDnuggets

delta.content if content: print(content, end="", flush=True) print("n[END OF STREAM]") except Exception as e: print(f"[ERROR] Streaming demo failed: {e}") print("n" + "=" * 40 + "n") # 3. to test various vLLM server functionalities, including simple chat completions and streaming responses.

article thumbnail

Kumo’s ‘relational foundation model’ predicts the future your LLM can’t see

Flipboard

How Kumo is generalizing transformers for databases Kumo’s approach, “relational deep learning,” sidesteps this manual process with two key insights. Relational deep learning (source: Kumo AI) Second, Kumo generalized the transformer architecture , the engine behind LLMs, to learn directly from this graph representation.

Database 166
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Build Interactive Machine Learning Apps with Gradio

Flipboard

import gradio as gr def word_count(text): return f"{len(text.split())} word(s)" if text.strip() else "" def clear_text(): return "", "" with gr.Blocks() as demo: gr.Markdown("## Word Counter") with gr.Row(): input_box = gr.Textbox(placeholder="Type something.",

article thumbnail

Deploy Gradio Apps on Hugging Face Spaces

PyImageSearch

Spaces supports two primary SDKs (software development kits), Gradio and Streamlit , for building interactive ML demo apps in Python. In the figure below, we can see the Spaces demo for the Visual Question Answering task. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated?

article thumbnail

10 AI Conferences in the USA (2025): Connect with Top AI and Data Minds

Data Science Dojo

The notable features of the IEEE conference are: Cutting-Edge AI Research & Innovations Gain exclusive insights into the latest breakthroughs in artificial intelligence, including advancements in deep learning, NLP, and AI-driven automation.

Big Data 300
article thumbnail

Vision-Language Model: PaliGemma for Image Description Generator and More

PyImageSearch

inputs = [ gr.Image(type="pil"), gr.Textbox(label="Prompt", placeholder="Enter your question") ] outputs = gr.Textbox(label="Answer") demo = gr.Interface(fn=process_image, inputs=inputs, outputs=outputs, title="Visual Question Answering with Fine-tuned PaliGemma Model", description="Upload an image and ask questions to get answers.")

article thumbnail

Breaking the CNN Mold: YOLOv12 Brings Attention to Real-Time Object Detection

PyImageSearch

For this demo, we’ll be using an NVIDIA A100 GPU, which is fully compatible with FlashAttention. Run the YOLOv12 Gradio App To run the YOLOv12 Gradio demo, simply execute app.py : python app.py Figure 5: YOLOv12 Gradio Demo Interface — performing real-time object detection on an input image using the yolov12x.pt Thakur, eds.,