Intro Agents are AI systems, powered by LLMs, that can reason about their objectives and take actions to achieve a final goal. They are designed not just to respond to queries, but to orchestrate a sequence of operations, including processing data (i.e. dataframes and time series). This ability unlocks numerous real-world applications for democratizing access […]
AI Agents Processing Time Series and Large Dataframes Read More »
How many times have you had a messy Jupyter Notebook filled with copy-pasted code just to re-use some data wrangling logic? Whether you do it for passion or for work, if you code a lot, then you’ve probably answered something like “way too many”. You’re not alone. Maybe you tried to share data with colleagues
Building a Personal API for Your Data Projects with FastAPI Read More »
Introduction AWS is a well-known cloud provider whose primary goal is to allocate server resources for software engineers to deploy their applications. AWS offers many services, one of which is EC2, providing virtual machines for running software applications in the cloud. However, for data-intensive applications, storing data inside EC2 instances is not always the optimal
Beginner’s Guide to Creating a S3 Storage on AWS Read More »
The model hallucinated! It was giving me OK answers and then it just started hallucinating. We’ve all heard or experienced it. Natural Language Generation models can sometimes hallucinate, i.e., they start generating text that is not quite accurate for the prompt provided. In layman’s terms, they start making stuff up that’s not strictly related to
Retrieval Augmented Generation (RAG) — An Introduction Read More »
Recently, I’ve been interviewing Computer Science students applying for data science and engineering internships with a 4-day turnaround from CV vetting to final decisions. With a small local office of 10 and no in-house HR, hiring managers handle the entire process. This article reflects on the lessons learned across CV reviews, technical interviews, and post-interview
Beyond the Code: Unconventional Lessons from Empathetic Interviewing Read More »
Introduction EVALUATE is the statement to query tabular models. Unfortunately, knowing SQL or any other query language doesn’t help as EVALUATE follows a different concept. EVALUATE has only two “Parameters”: A table to show A sort order (ORDER BY) You can pass a third parameter (START AT), but this one is rarely used. However, a
How to Write Queries for Tabular Models with DAX Read More »
Deploying your Large Language Model (LLM) is not necessarily the final step in productionizing your Generative AI application. An often forgotten, yet crucial part of the MLOPs lifecycle is properly load testing your LLM and ensuring it is ready to withstand your expected production traffic. Load testing at a high level is the practice of
Load-Testing LLMs Using LLMPerf Read More »
DISCLAIMER: This is not financial advice. I’m a PhD in Aerospace Engineering with a strong focus on Machine Learning: I’m not a financial advisor. This article is intended solely to demonstrate the power of Physics-Informed Neural Networks (PINNs) in a financial context. When I was 16, I fell in love with Physics. The reason was
When Physics Meets Finance: Using AI to Solve Black-Scholes Read More »
Imagine going to the doctor with a baffling set of symptoms. Getting the right diagnosis quickly is crucial, but sometimes even experienced physicians face challenges piecing together the puzzle. Sometimes it might not be something serious at all; others a deep investigation might be required. No wonder AI systems are making progress here, as we
Google’s New AI System Outperforms Physicians in Complex Diagnoses Read More »
Could Shopify be right in requiring teams to demonstrate why AI can’t do a job before approving new human hires? Will companies that prioritize AI solutions eventually evolve into AI entities with significantly fewer employees? These are open-ended questions that have puzzled me about where such transformations might leave us in our quest for Knowledge and ‘truth’
The Good-Enough Truth Read More »
