Learn how to use the ‘psutil’ library in #Python to get process / CPU / memory / disk usage information from your computer — a thread by @clcoding …
SOFTWARE
-
OpenUSD Drives Industrial Metaverse Evolution
By
–
Fueling an evolutionary leap for the industrial #Metaverse with OpenUSD https://
venturebeat.com/virtual/fuelin
g-an-evolutionary-leap-for-the-industrial-metaverse-with-openusd/
… via @VentureBeat -
LangChain LangServe LangSmith Astra Sales Copilot Integration
By
–
Thanks @esynergy_ for the write up on how you use LangChain, LangServe, and LangSmith + Astra from our friends at @DataStax
! https://
esynergy.co.uk/insights/blog/
sales-copilot/
… -
Deploy LangChain Applications on AWS with Pulumi Workshop
By
–
Sign up for our workshop with @PulumiCorp tomorrow! You'll learn the basics of Pulumi for infrastructure as code, the basics of LangChain and LangServe, and how to deploy a LangChain/LangServe application on AWS using Pulumi. https://
pulumi.com/resources/depl
oying-langchain-applications-on-aws-with-pulumi/
… -
PyAirbyte LangChain Document Loading Webinar
By
–
Document Loading Webinar with @AirbyteHQ Need a last-minute way to celebrate Pi Day? Join a webinar focused on document loading with PyAirbyte and LangChain tomorrow 3/14 at 10am PDT. Features our founding engineer @eyfriis and the team behind PyAirbyte, @aaronsteers and
-
Haiku AI Model: Three Times Faster Document Analysis
By
–
Haiku is three times faster than its peers, enabling enterprises to quickly analyze large volumes of documents, such as quarterly filings, contracts, or legal cases.
— Anthropic (@AnthropicAI) 13 mars 2024
Its swift output enables responsive, engaging chat experiences and the execution of many small tasks in tandem. pic.twitter.com/VBxrT6PTBOHaiku is three times faster than its peers, enabling enterprises to quickly analyze large volumes of documents, such as quarterly filings, contracts, or legal cases. Its swift output enables responsive, engaging chat experiences and the execution of many small tasks in tandem.
-
Enterprise Machine Learning Systems: 30 MLOps Requirements and Solutions
By
–
Building & Deploying Enterprise #MachineLearning Systems is hard. Here are 30 requirements for an #MLOps environment. @AbacusAI handles all that for you. You bring the data and the use case. Abacus delivers the #ML environment: https://
abacus.ai/mlops #DataScience #AI #ML -
Data-Centric AI Production at Scale with Matei Zaharia
By
–
We've got something that might interest you. Matei Zaharia, Stanford Professor and Chief Technologist at Databricks, shares insights on making data-centric AI easy to use at scale in production. Check it out here https://
youtube.com/watch?v=NCktwY
7KcQ4
… #datacentricai #mlngineering -
Unified Platform for Generative AI Governance and Production
By
–
Quickly build, securely operate, and confidently govern your entire AI landscape in a unified platform, accelerating generative AI solutions from prototype to production and driving real-world value with confidence.
— DataRobot (@DataRobot) 13 mars 2024
Learn more: https://t.co/a1wJhWRHym pic.twitter.com/XfKmpWWGPQQuickly build, securely operate, and confidently govern your entire AI landscape in a unified platform, accelerating generative AI solutions from prototype to production and driving real-world value with confidence. Learn more: https://
bit.ly/3IrsG0I -
Zep Cloud Integration Now Available on Flowise Platform
By
–
Zep Cloud Zep Cloud Hosted is now available on Flowise! Thanks @zep_ai team for contribution!