Skillenai
A Solution to the Chaos AI Teams are Feeling Right Now I have a secret to share: most AI teams are in chaos right now, across many industries. I’ve seen it first hand, heard it from other AI leaders, and read stories online. In the article below I outline what I see as the common […]
AI Engineering was recently named the #1 fastest growing job by LinkedIn, with data science cited as one of the top roles transitioned from. Meanwhile, every data scientist is in the middle of at best an identity crisis and at worst an existential crisis. I recently switched from data science to AI engineering and have […]
In the 90s everyone talked about the “information superhighway” that was created by the internet and fiber optics. AI has the same potential to become an “intelligence superhighway.” But that potential is unrealized today and instead feels like driving at rush hour. AI is Like an Automobile Let’s stick with transportation analogies to help explore […]
The world is transitioning from the Information Age to the Intelligence Age. We need a new set of mental models to thrive in this new age. Below are a few of the mental models I’ve adopted recently to help guide my work as an AI engineer. Engine in a Buggy Don’t put an engine in […]
A Human Story: Sarah, a 32-year-old teacher, spent two years chasing elusive answers about her health. When she first felt tingling in her arm and unexplained fatigue, each doctor visit ended with normal blood tests and advice to “wait it out.” A conventional MRI eventually showed a few tiny brain lesions, but no one was […]
Introduction: The Convergence of Senses in Machines Imagine a toddler hearing a dog bark for the first time. She turns her head, sees the furry creature, and instinctively connects the sound to its source. This seamless association between sight and sound is fundamental to how humans understand the world. Now, picture a machine doing the […]
Introduction In today’s rapidly evolving digital landscape, businesses are increasingly leveraging artificial intelligence (AI) to streamline operations and enhance decision-making. Salesforce’s Agentforce, an AI-driven platform, empowers organizations to automate tasks and gain deeper insights into their operations. A critical component of maximizing Agentforce’s potential lies in effectively utilizing Salesforce’s data objects and custom reporting tools. […]
Introduction Just a few days ago on May 23Databricks dropped a huge update: you can now run Claude Opus 4 and Sonnet 4 right inside your Databricks workspace. In plain terms, that means you can build AI agents that tap directly into your own data lakes, run on secure infrastructure, and follow governance rules you […]
This tutorial aims to delve into the theoretical foundations and practical implementations of vector search using FAISS and Pinecone. We’ll explore the mathematical concepts, data structures, and algorithms that power these systems, providing code snippets and examples to solidify understanding. 1. Introduction to Vector Search 1.1 What is Vector Search? Vector search involves finding the […]
Introduction In the evolving landscape of artificial intelligence, the integration of autonomous decision-making within information retrieval systems marks a significant advancement. Retrieval-Augmented Generation (RAG) has been instrumental in enhancing the capabilities of language models by providing them with access to external knowledge sources. However, traditional RAG systems often operate in a linear fashion, lacking the […]