SambaNova and Hugging Face make AI chatbot deployment easier with one-click integration

Quick Summary:

SambaNova and Hugging Face launched a new integration today that lets developers deploy ChatGPT-like interfaces with a single button click, reducing deployment time from hours to minutes.

For developers interested in trying the service, the process is relatively straightforward.

First, visit SambaNova Cloud’s API website and obtain an access token.

---

More Pictures

---

Read Quick SummarySave Time

or

Article Details

Author / Journalist: Michael Nuñez

Category: StartupsTechnology

Markets: United States

Topics: Deploy AI models easily Data Management Enterprise Analytics SambaNova Cloud API Automation Enterprise ai Data Infrastructure ML and Deep Learning Fast AI deployment Python AI chatbot code Gradio Multimodal ai AI SambaNova SambaNova Systems Python Category-/Science/Computer Science One-click AI integration Hugging Face Spaces AI chatbot deployment AI Conversational AI Business Data Storage and Cloud Hugging Face Simplified AI Data Science NLP

Source Website Secure: Yes (HTTPS)

News Sentiment: Negative

Fact Checked: Legitimate

Article Type: News Report

Published On: 2024-11-06 @ 20:57:10 (2 weeks ago)

News Timezone: GMT -5:00

News Source URL: venturebeat.com

Language: English

Article Length: 39 words

Reading Time: 1 minutes read

Sentences: 37 lines

Sentence Length: 2 words per sentence (average)

Platforms: Desktop Web, Mobile Web, iOS App, Android App

Copyright Owner: © VentureBeat

News ID: 23452859

View Article Analysis

About VentureBeat

Main Topics: StartupsTechnology

Official Website: venturebeat.com

Update Frequency: 6 posts per day

Year Established: 2005

Headquarters: United States

News Last Updated: 17 hours ago

Coverage Areas: United States

Ownership: Independent Company

Publication Timezone: GMT -5:00

Content Availability: Worldwide

News Language: English

RSS Feed: Available (XML)

API Access: Available (JSON, REST)

Website Security: Secure (HTTPS)

Publisher ID: #50

Publisher Details

Frequently Asked Questions