OpenAI and Instacart are deepening their longstanding partnership by bringing the first fully integrated grocery shopping and Instant Checkout payment app to ChatGPT.
Google is closing an old gap between Kaggle and Colab. Colab now has a built in Data Explorer that lets you search Kaggle datasets, models and competitions directly inside a notebook, then pull them in through KaggleHub without leaving the editor. What Colab Data Explorer actually ships? Kaggle announced the feature recently where they describe a panel in the Colab notebook editor that connects to Kaggle search. From this panel you can: Search Kaggle datasets, models and competitions […]
The CEO of the F1 champion-winning team discusses the hurdles he faced reversing McLaren’s negative momentum.
Author(s): KirtiBankar Originally published on Towards AI. Google Search Engine Optimization (SEO) is evolving faster than ever, and AI is a primary driver of this change. Marketers no longer depend on guessing, keyword studies done by hand, and repeating the same tasks over and over again. These days, AI tools help companies determine what people are looking for, enhance their content, and make more informed decisions based on data. AI has not only made SEO easier, but it […]
Author(s): AI Rabbit Originally published on Towards AI. Agentic Era If your architecture still looks like “User Query Vector DB LLM,” you aren’t building an AI application; you’re building a hallucination engine. The “naive” RAG era where we just dumped PDFs into Pinecone and prayed for the best is officially over. Here is the technical reality of RAG in 2025.The article discusses the evolution of Retrieval-Augmented Generation (RAG) pipelines, emphasizing the transition from outdated linear architectures to more […]
TIME Magazine has named the ‘Architects of AI’ its Person of the Year, who include Jensen Huang, Elon Musk, Sam Altman, Mark Zuckerberg, Lisa Su, Dario Amodei, Demis Hassabis, and Fei-Fei Li
Author(s): Abinaya Subramaniam Originally published on Towards AI. If retrieval is the search engine of your RAG system, chunking is the foundation the search engine stands on. Even the strongest LLM fails when the chunks are too long, too short, noisy, or cut at the wrong place. That is why practitioners often say: “Chunking determines 70% of RAG quality.” Good chunking helps the retriever find information that is complete, contextual, and relevant while bad chunking creates fragmented, out […]
In the wilderness of the New World, the Plymouth Pilgrims had progressed from the false dream of communism to the sound realism of capitalism.
Strange as it may sound, large language models (LLMs) can be leveraged for data analysis tasks, including specific scenarios such as time series analysis.
In Day 6, we saw how a Decision Tree Regressor finds its optimal split by minimizing the Mean Squared Error. Today, for Day 7 of the Machine Learning “Advent Calendar”, we switch to classification. With just one numerical feature and two classes, we explore how a Decision Tree Classifier decides where to cut the data, using impurity measures like Gini and Entropy. Even without doing the math, we can visually guess possible split points. But which one is […]