How to Deploy a Deep Learning Model with Jina, Announcing GPT-4, and Multimodal Visual Question Answering
How to Deploy a Deep Learning Model with Jina (and Design a Kitten Along the Way)
Learn how to build and deploy an Executor that uses Stable Diffusion to generate images.
OpenAI Delivers Summary of GPT-4’s Abilities
OpenAI has officially announced that GPT-4 is in development, and even gave some previews of what it will be capable of.
Multimodal Visual Question Answering with BLIP-2 and Jina
LLMs aren’t great for working with anything beyond text. But now you can serve BLIP-2 with Jina and DocArray, enhancing LLMs with visual understanding.
Beauty in the AI of the Beholder
The world tells countless stories. How can you use AI and open-source tools to tell new stories and gain new insights about the world?
How Does Automated Penetration Testing Prevent the Theft of Important Data?
What are some of the main differences between automated penetration testing and traditional penetration (AKA pen) testing, what does the use of this technology mean for security teams, and how does it reduce the number of overall breaches?
Improving ML Datasets with Cleanlab, a Standard Framework for Data-Centric AI
Learn more about Cleanlab, an open-source software library that can help with fixing and cleaning machine learning datasets with ease.
ODSC East’s limited discount might be gone, but you can still save 40% on the leading data science training conference. Register now for 40% off.
The Release of GPT-4 is Imminent According to Microsoft Germany CTO
According to Microsoft Germany CTO Andreas Braun, GPT-4’s release is imminent, and it could be a game changer in the world of NLP.
5 Ways to Ensure Compliance and Data Security in a Hybrid Workplace
This blog post will explore five key strategies for ensuring data security and compliance in a hybrid workplace.
AI Generated Books are Flooding Amazon Kindle Store
AI-generated books are flooding the independent publishing market. This is leaving some authors unsure of their futures while others see opportunities.
Nebuly, an AI startup, has just released ChatLLaMA, the first open-source ChatGPT-like training process based on LLaMA and using reinforcement learning from human feedback (RLHF).
OpenAI Launches ChatGPT and Whisper APIs to Democratize Advanced NLP Technology
OpenAI has announced the launch of its ChatGPT and Whisper APIs to make advanced NLP technology more accessible to developers by allowing them to integrate ChatGPT into their apps and services.
Announcing the Topic Tracks for ODSC Europe 2023
We’re happy to announce the topic tracks for ODSC Europe coming this June, including a new track entirely devoted to Generative AI!
Announcing the ODSC East 2023 Preliminary Schedule
ODSC East 2023 is coming up soon and we’re excited to be able to share our Preliminary Schedule with you! You can find the schedule here on our website, but be sure to read on for a breakdown of what you can expect from each day.
Video of the Week: Automated Data Classification
In this video, Alex Gorelik will be discussing automated data classification. This includes what it is, how it can help organizations manage their data more efficiently, how to comply with regulatory requirements, enhance data security, and support data analysis and decision-making.
ODSC volunteers are an integral part of the success of each ODSC conference and a perfect extension of our core team and ambassadors to our community! Learn more about how you can volunteer for either the in-person or virtual team and get a free ticket to the event.
Upcoming Webinars:
Thu, Mar 16, 2023 12:00 PM — 1:00 PM EDT
In this webinar, you will see some of the latest updates to Form Recognizer: Document classification and splitting; zero-shot field extraction with OpenAI capabilities; updates to model capabilities like extracting barcodes, fonts, formulas, and normalizing keys; and Glean best practices to get the most from Form Recognizer.
Machine Learning Made Simple with Declarative Programming
Tue, Mar 21, 2023 12:00 PM — 1:00 PM EDT
Join this webinar and demo to learn about declarative ML systems, incl. open-source Ludwig from Uber; how to build state-of-the-art machine learning and deep learning models in less than 15 lines of code; and how to rapidly train, iterate, and deploy a multimodal deep learning model with Ludwig and Predibase.
