Machine Learning

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PyCaret Tutorial: Beginner’s Guide to Automating ML Workflows

ai, AI (Artificial Intelligence), Artificial Intelligence, Beginner, Guide, Machine Learning

PyCaret is an open-source, low-code machine learning library that simplifies and standardizes the end-to-end machine learning workflow. Instead of acting as a single AutoML algorithm, PyCaret functions as an experiment framework that wraps many popular machine learning libraries under a consistent and highly productive API  This design choice matters. PyCaret does not fully automate decision-making […]

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[In-Depth Guide] The Complete CTGAN + SDV Pipeline for High-Fidelity Synthetic Data

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In this tutorial, we build a complete, production-grade synthetic data pipeline using CTGAN and the SDV ecosystem. We start from raw mixed-type tabular data and progressively move toward constrained generation, conditional sampling, statistical validation, and downstream utility testing. Rather than stopping at sample generation, we focus on understanding how well synthetic data preserves structure, distributions,

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After a routine code rejection, an AI agent published a hit piece on someone by name

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On Monday, a pull request executed by an AI agent to the popular Python charting library matplotlib turned into a 45-comment debate about whether AI-generated code belongs in open source projects. What made that debate all the more unusual was that the AI agent itself took part, going so far as to publish a blog

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OpenAI Releases a Research Preview of GPT‑5.3-Codex-Spark: A 15x Faster AI Coding Model Delivering Over 1000 Tokens Per Second on Cerebras Hardware

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OpenAI just launched a new research preview called GPT-5.3 Codex-Spark. This model is built for 1 thing: extreme speed. While the standard GPT-5.3 Codex focuses on deep reasoning, Spark is designed for near-instant response times. It is the result of a deep hardware-software integration between OpenAI and Cerebras. The results are game-changing. Spark is 15x

OpenAI Releases a Research Preview of GPT‑5.3-Codex-Spark: A 15x Faster AI Coding Model Delivering Over 1000 Tokens Per Second on Cerebras Hardware Read More »

OpenAI sidesteps Nvidia with unusually fast coding model on plate-sized chips

ai, AI (Artificial Intelligence), AI Agents, AI chips, AI coding, AI development tools, AI speed, Artificial Intelligence, Biz & IT, Cerebras, code agents, Machine Learning, nvidia, OpenAI, Sam Altman, tokens

On Thursday, OpenAI released its first production AI model to run on non-Nvidia hardware, deploying the new GPT-5.3-Codex-Spark coding model on chips from Cerebras. The model delivers code at more than 1,000 tokens (chunks of data) per second, which is reported to be roughly 15 times faster than its predecessor. To compare, Anthropic’s Claude Opus

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Attackers prompted Gemini over 100,000 times while trying to clone it, Google says

ai, AI (Artificial Intelligence), AI language models, AI security, Artificial Intelligence, Biz & IT, ChatGPT, chatgtp, deepseek, Distillation, Gemini, Google, Google Gemini, Large Language Models, LLMs, Machine Learning, OpenAI

On Thursday, Google announced that “commercially motivated” actors have attempted to clone knowledge from its Gemini AI chatbot by simply prompting it. One adversarial session reportedly prompted the model more than 100,000 times across various non-English languages, collecting responses ostensibly to train a cheaper copycat. Google published the findings in what amounts to a quarterly

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Accelerating science with AI and simulations

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For more than a decade, MIT Associate Professor Rafael Gómez-Bombarelli has used artificial intelligence to create new materials. As the technology has expanded, so have his ambitions.Now, the newly tenured professor in materials science and engineering believes AI is poised to transform science in ways never before possible. His work at MIT and beyond is

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Expert-vetted reasoning datasets for reinforcement learning: why they lift model performance

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Reinforcement learning (RL) is great at learning what to do when the reward signal is clean and the environment is forgiving. But many real-world settings aren’t like that. They’re messy, high-stakes, and full of “almost right” decisions. That’s where expert-vetted reasoning datasets become a force multiplier: they teach models the why behind an action—not just

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What Is Sociophonetics and Why It Matters for AI

ai, AI (Artificial Intelligence), ai training data, Artificial Intelligence, Audio Collection, Conversational AI, Data Collection, Machine Learning, Shaip Blogs, Speech Recognition, TTS

You’ve probably had this experience: a voice assistant understands your friend perfectly, but struggles with your accent, or with your parents’ way of speaking. Same language. Same request. Very different results. That gap is exactly where sociophonetics lives — and why it suddenly matters so much for AI. Sociophonetics looks at how social factors and

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AI vs ML vs LLM vs Generative AI: What’s the Difference and Why It Matters

ai, AI (Artificial Intelligence), Artificial Intelligence, Generative AI, Large Language Models, LLM, Machine Learning, Shaip Blogs

In today’s AI-driven world, buzzwords like AI, Machine Learning (ML), Large Language Models (LLMs), and Generative AI are everywhere—but often misunderstood. They’re used interchangeably, though each has a distinct role and impact. In this blog, we won’t just define them in silos. Instead, we’ll pit them against each other, clarify how they’re related, how they

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