about the Small-World Experiment, conducted by Stanley Milgram in the 1960’s. He devised an experiment by which a letter was given to a volunteer person in the United States, with the instruction to forward the letter to their personal contact most likely to know another person – the target – in the same country. In …
Routing in a Sparse Graph: a Distributed Q-Learning Approach Read More »
Image by Author Contents# Introduction# What Is Vaex?# Comparing Vaex And Dask# Why Traditional Tools Struggle# How Vaex Works Under The Hood# Getting Started With Vaex// Advanced Vaex Features# Concluding Thoughts # Introduction Handling massive datasets containing billions of rows is a major challenge in data science and analytics. Traditional tools like Pandas work well for small to medium datasets that fit in …
Working with Billion-Row Datasets in Python (Using Vaex) Read More »
has become the single most effective approach for me to solve problems. Most problems I encounter at work can be solved effectively by utilizing agents. This is in contrast to manually solving tasks or coding up a solution yourself. In this article, I’ll give a high-level overview of how I approach problems and solve them …
Image by Author Contents# Introduction# 1. OpenRouter# 2. Olostep# 3. Tinker API# 4. SerpApi# 5. MOSTLY AI Generator API# Wrapping Up # Introduction You’ve probably heard people talk about APIs a lot. Basically, an API allows a software to ask another piece of software for help. For example, when we use our weather app, it might use a real-time API to get …
In August, we previewed Genie 3, a general-purpose world model capable of generating diverse, interactive environments. Even in this early form, trusted testers were able to create an impressive range of fascinating worlds and experiences, and uncovered entirely new ways to use it. The next step is to broaden access through a dedicated, interactive prototype …
AI world model now available for Ultra users in U.S. Read More »
in the federated learning series I am doing, and if you just landed here, I would recommend going through the first part where we discussed how federated learning works at a high level. For a quick refresher, here is an interactive app that I created in a marimo notebook where you can perform local training, …
Federated Learning, Part 2: Implementation with the Flower Framework 🌼 Read More »
Image by Author Contents# Introduction# Defining Multimodal Artificial Intelligence: From Single-Sense to Multi-Sense Intelligence# Understanding the Foundation Trio: Vision, Voice, and Text Models# Exploring Emerging Frontiers Beyond the Basics# Implementing Real-World Applications# Navigating the Emerging Multimodal Infrastructure# Summarizing Key Takeaways # Introduction For decades, artificial intelligence (AI) meant text. You typed a question, got a text response. Even as language models grew …
The Multimodal AI Guide: Vision, Voice, Text, and Beyond Read More »
A note from Google and Alphabet CEO Sundar Pichai: Nearly two years ago we kicked off the Gemini era, one of our biggest scientific and product endeavors ever undertaken as a company. Since then, it’s been incredible to see how much people love it. AI Overviews now have 2 billion users every month. The Gemini …
Introducing the latest Gemini AI model from Google Read More »
Segment Anything Model 3 (SAM3) sent a shockwave through the computer vision community. Social media feeds were rightfully flooded with praise for its performance. SAM3 isn’t just an incremental update; it introduces Promptable Concept Segmentation (PCS), a vision language architecture that allows users to segment objects using natural language prompts. From its 3D capabilities (SAM3D) …
SAM 3 vs. Specialist Models — A Performance Benchmark Read More »
