Today we'll see how to get started with Structured Outputs using the Anthropic Python SDK. The fundamental challenge with LLMs is that they are designed to produce human-readable text, not machine-readable data. This makes integrating them into moder...
Here is the third installment of the AI Sketchbook Series, where we demystify fundamental AI concepts with a semi-visual approach. In our previous posts, we explored how to represent text using One-Hot Encoding and the Bag-of-Words TF-IDF method. Whi...
For this next installment in our series demystifying AI concepts, we delve into how the meaning and importance of words within a document can be numerically captured. Bag-of-Words (BoW) offers a straightforward approach by representing a text as the ...
This series aims to demystify fundamental concepts in AI using a semi-visual approach that combines sketches, diagrams, and concise notes. The goal is to build intuition for more complex conepts by illustrating their foundational building blocks. For...
Understanding what Confidential Computing is Confidential computing is a feature that many people overlook or don't activate, maybe because it's unclear exactly what it is. It is true that the text that appears on the console to explain it, well… doe...
Having a low-latency networking link between infrastructure resources such as Compute resources and Block Storage is crucial for optimal performance Cluster Placement Groups (CPGs) is a recent OCI feature that enables placement of any combination of ...
Understanding the role of Refreshable Clones Autonomous database Refreshable clones are a very useful feature to maintain a clone of an Oracle Autonomous Database in Oracle Cloud Infrastructure. If you want to know more about the Autonomous Database,...
Using Tagging, Advanced Resource Query, and more !
Training a custom AI model on OCI Vision
