MakeBlobs + Fictional Synthetic Data, Adding Data to Domain-Specific LLMs, and What Tech Layoffs Mean for the AI Industry
MakeBlobs + Fictional Synthetic Data A New(ish) Use Case
Breathe new life into your projects (and your data science practice) with this lesser-known SkLearn module
Python Set union() — A Complete Guide in 5 Minutes
In this blog post, we’ll explore the set union() method, and we’ll look at some examples of how to use it. We’ll also discuss some of the benefits of using set union(), and we’ll see why it’s a popular tool for Python developers.
8 Tools to Protect Sensitive Data from Unintended Leakage
In order to protect themselves from unintended leakage of sensitive information, organizations employ a variety of tools that scan repositories and code continuously to identify the secrets that are hard-coded within.
The Importance of Implementing Explainable AI in Healthcare
Explainable AI might be the solution everyone needs to develop a healthier, more trusting relationship with technology while expediting essential medical care in a highly demanding world.
How to Add Domain-Specific Knowledge to an LLM Based on Your Data
In this article, we will explore one of several strategies and techniques to infuse domain knowledge into LLMs, allowing them to perform at their best within specific professional contexts by adding chunks of documentation into an LLM as context when injecting the query.
How to Build a 5-Layer Data Stack
Spinning up a data platform doesn’t have to be complicated. Here are the 5 must-have layers to drive data product adoption at scale.
This report offers everything you need to know about Spatial Indexes! Including what they are, why you should be using them, and practical guides to get you started.
Industry, Opinion, Career Advice
What are Tech Layoffs Saying About the AI Industry?
Tech layoffs are more than just people losing their jobs — they’re representative of how industries and consumer habits are changing.
Need some help convincing your manager to send you to ODSC East this April? Use our guide to help you ask the right questions to get you in.
Data Science & AI News
New Breakthrough by Google DeepMind Unveils New Materials
According to a new research paper, Google’s DeepMind has discovered hundreds of thousands of new hypothetical material designs.
Former Google CEO Warns Current AI Guardrails Aren’t Enough
Former Google CEO Eric Schmidt warns that AI guardrails aren’t enough to prevent harm, comparing it to the introduction of nuclear weapons.
ODSC Highlights
Watch Our Top Virtual Sessions from ODSC West 2023 Here
From keynote sessions to half-day workshops, these are the top-rated sessions from ODSC West 2023 that you can now watch on-demand.
Video of the Week: Notion’s ML Engineering: Search & Ranking Models using Snowflake & Qwak
Check out this on-demand webinar where Snowflake and Qwak delve deep into the mechanics of Notion’s Search & Ranking Machine Learning Model using Snowflake and Qwak.
Upcoming Webinars:
Lightning Interview “Catastrophic AI Risks”
Fri, Dec 8, 2023, 1:30 PM — 2:30 PM EST
Explore the main sources of catastrophic AI risks with Dan Hendrycks PhD, Executive Director of the Center for AI Safety, in this ODSC Lightning Interview. Dan will address the four categories of catastrophic AI risks: malicious use, AI race, organizational risks, and rogue AIs.
From Raw Data to Insights: Simplifying Data Validation and Enrichment
Thu, Dec 14, 2023 12:00 PM — 1:00 PM EST
In this session, we will explore how you can use the power of data validation and enrichment to transform your business.
Predictive Maintenance: The Power of Feature Engineering for Manufacturing Data Scientists
Tue, Dec 19, 2023 12:00 PM — 1:00 PM EST
Explore the untapped possibilities of Predictive Maintenance! Join data scientists, engineers, and manufacturing professionals on an engaging journey through predictive maintenance use cases, shedding light on this often underexplored realm of Machine Learning.
