Articles for category: AI Tools

March 14, 2025

ikayaniaamirshahzad@gmail.com

The Powerhouse GPU Revolutionizing Deep Learning

Introduction The rise of Large Language Models (LLMs) has marked a significant advancement in the era of Artificial Intelligence (AI). During this period, Cloud Graphic Processing Units (GPUs) offered by Paperspace + DigitalOcean have emerged as pioneers in providing high-quality NVIDIA GPUs, pushing the boundaries of computational technology. NVIDIA, was founded in 1993 by three visionary American computer scientists – Jen-Hsun (“Jensen”) Huang, former director at LSI Logic and microprocessor designer at AMD; Chris Malachowsky, an engineer at Sun Microsystems; and Curtis Priem, senior staff engineer and graphic chip designer at IBM and Sun Microsystems – embarked on its journey

March 14, 2025

ikayaniaamirshahzad@gmail.com

Benchmarking Single Agent Performance

Over the past year, there has been growing excitement in the AI community around LLM-backed agents. What remains relatively unanswered and unstudied, is the question of “which agentic architectures are best for which use cases”. Can I use a single agent with access to a lot of tools, or should I try setting up a multi-agent architecture with clearer domains of responsibility? One of the most basic agentic architectures is the ReAct framework, which is what we’ll be exploring in this first series of experiments. In this study, we aim to answer the following question. At what point does a

March 14, 2025

ikayaniaamirshahzad@gmail.com

Writing as a Way of Thinking

Was this newsletter forwarded to you? Sign up to get it in your inbox. I always love an article that confirms my priors, so I was particularly excited to read Paul Graham’s latest essay, “Writes and Write-Nots.” In case you missed the piece, he argues that writing is an extension of thinking. He believes that as a skill, writing well is already very unequally distributed. And in a world with AI, where your writing is instantly up-leveled by bots like ChatGPT, even fewer people will need to learn to write well. Therefore, even fewer people will think well—dividing the world

March 14, 2025

ikayaniaamirshahzad@gmail.com

Scaling Laws – O1 Pro Architecture, Reasoning Training Infrastructure, Orion and Claude 3.5 Opus “Failures” – SemiAnalysis

In our pursuit of becoming a better full service research firm, we’ve moved off Substack. For any questions please read https://semianalysis.com/faq/#substack There has been an increasing amount of fear, uncertainty and doubt (FUD) regarding AI Scaling laws. A cavalcade of part-time AI industry prognosticators have latched on to any bearish narrative they can find, declaring the end of scaling laws that have driven the rapid improvement in Large Language Model (LLM) capabilities in the last few years. Journalists have joined the dogpile and have supported these narratives, armed with noisy leaks filled with vague information around the failure of models

March 14, 2025

ikayaniaamirshahzad@gmail.com

A quote from Steve Klabnik

[…] in 2013, I did not understand that the things I said had meaning. I hate talking about this because it makes me seem more important than I am, but it’s also important to acknowledge. I saw myself at the time as just Steve, some random guy. If I say something on the internet, it’s like I’m talking to a friend in real life, my words are just random words and I’m human and whatever. It is what it is. But at that time in my life, that wasn’t actually the case. I was on the Rails team, I was

March 14, 2025

ikayaniaamirshahzad@gmail.com

Release notes for Deephaven version 0.35

Deephaven Community Core version 0.35.0 was recently released. This release was the culmination of many big plans coming together. It includes a number of new features, improvements, breaking changes, and bug fixes. Without further ado, let’s dive in. Apache Iceberg integration​ We’ve been working on our Iceberg integration for a while now, and it’s finally here! Iceberg is a high-performance format for huge analytic tables, similar to Deephaven. The new interface allows you to get Iceberg namespaces, read Iceberg tables into Deephaven tables, get information on snapshots of Iceberg tables, and obtain all available tables in an Iceberg namespace. Below

March 14, 2025

ikayaniaamirshahzad@gmail.com

A Mixture of Foundation Models for Segmentation and Detection Tasks

VLMs, LLMs, and foundation vision models, we are seeing an abundance of these in the AI world at the moment. Although proprietary models like ChatGPT and Claude drive the business use cases at large organizations, smaller open variations of these LLMs and VLMs drive the startups and their products. Building a demo or prototype can be about saving costs and creating something valuable for the customers. The primary question that arises here is, “How do we build something using a combination of different foundation models that has value?” In this article, although not a complete product, we will create something

March 14, 2025

ikayaniaamirshahzad@gmail.com

Data Machina #254 – Data Machina

On the State of AI Coding Agents. “How could we start using AI to migrate years of messy, flimsy legacy code to a modern stack? … Perhaps an AI Code Migration Agent ???” We’re doing AI chat & espresso at Level 39, One Canada Square. James -a veteran CTO with all the scars- is asking these rather funny, rhetorical questions. There is a deep silence in the room, pensive faces around. Everyone is staring through the massive windows overlooking The City skyline as the sunset strikes. We wonder in perplexity -in the very philosophical and information theory sense- whether AI

March 14, 2025

ikayaniaamirshahzad@gmail.com

AI Governance Cheat Sheet: Comparing Regulatory Frameworks Across the EU, US, UK, and China

This Cheat sheet explores the critical and rapidly evolving landscape of AI governance, focusing on the diverse approaches taken by major global players: the European Union, the United States, the United Kingdom, and China. As artificial intelligence systems become increasingly integrated into crucial sectors like healthcare, finance, and transportation, the need for effective regulatory frameworks to manage ethical concerns, security risks, and societal impacts has become paramount. This short guide summarizes and synthesizes key findings from the comprehensive research paper, “Between Innovation and Oversight: A Cross-Regional Study of AI Risk Management Frameworks in the EU, U.S., UK, and China,” by

March 14, 2025

ikayaniaamirshahzad@gmail.com

Weights & Biases LLM-Evaluator Hackathon

This weekend, I had the opportunity to judge the Weights & Biases LLM-Judge Hackathon. Over two days, more than 100 people took part with 15 teams demoing their work on day two. The teams built creative and practical projects such as constructing and validating knowledge graphs from documents, evaluating LLMs on MBTI traits and creativity, optimizing evaluation prompts, evaluating multi-turn conversations, and more. I was invited to kick off the hackathon with a short talk, and took the chance to discuss: Things to consider when using LLMs-evaluators: What is our baseline? How will LLM-evaluators score responses? What metrics to evaluate