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# Introduction
Agentic AI is becoming super popular and relevant across industries. But it also represents a fundamental shift in how we build intelligent systems: agentic AI systems that break down complex goals, decide which tools to use, execute multi-step plans, and adapt when things go wrong.
When building such…
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A team of Salesforce AI researchers introduced WALT (Web Agents that Learn Tools), a framework that reverse-engineers latent website functionality into reusable invocable tools. It reframes browser automation around callable tools rather than long chains of clicks. Agents then call operations such as search, filter, sort, post_comment, and create_listing. This reduces dependence on large language…
Five months ago, we introduced Flow, our AI filmmaking tool powered by Veo, and have been inspired by the creativity it has sparked with over 275 million videos generated in Flow
. We're always listening to your feedback, and we've heard that you want more artistic control within Flow, with increased support for audio across all…
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# Introduction
While groupby().sum() and groupby().mean() are fine for quick checks, production-level metrics require more robust solutions. Real-world tables often involve multiple keys, time-series data, weights, and various conditions like promotions, returns, or outliers.
This means you frequently need to compute totals and rates, rank items within each segment, roll…
We gave our new C2S-Scale 27B model a task: Find a drug that acts as a conditional amplifier, one that would boost the immune signal only in a specific “immune-context-positive” environment where low levels of interferon (a key immune-signaling protein) were already present, but inadequate to induce antigen presentation on their own. This required a…
Artificial intelligence (AI) is exploding. There were 5,509 AI startups in the US between 2013 and 2023. And according to Statista, they’re receiving a massive amount of funding.
“ In 2024, AI startups received more than $0.5 trillion and raised over $100 billion. “
In 2024, AI startups received more than $0.5…
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# Introduction
According to CrowdFlower’s survey, data scientists spend 60% of their time organizing and cleaning the data.
In this article, we’ll walk through building a data cleaning pipeline using a real-life dataset from DoorDash. It contains nearly 200,000 food delivery records, each of which includes dozens of features such…
Science
Published
16 October 2025
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# Introduction
There are numerous tools for processing datasets today. They all claim — of course they do — that they’re the best and the right choice for you. But are they? There are two main requirements these tools should satisfy: they should easily perform everyday data analysis operations and…
Introduction
Vision Language Models (VLMs) allow both text inputs and visual understanding. However, image resolution is crucial for VLM performance for processing text and chart-rich data. Increasing image resolution creates significant challenges. First, pretrained vision encoders often struggle with high-resolution images due to inefficient pretraining requirements. Running inference on high-resolution images increases computational costs and…