Presented by TwilioThe customer data infrastructure powering most enterprises was architected for a world that no longer exists: one where marketing interactions could be captured and processed in batches, where campaign timing was measured in days (not milliseconds), and where "personalization" ...

Presented by Capital One SoftwareTokenization is emerging as a cornerstone of modern data security, helping businesses separate the value of their data from its risk. During this VB in Conversation, Ravi Raghu, president, Capital One Software, talks about the ways tokenization can help reduce the ...

Each time you’ve heard a borderline outlandish idea of what AI will be capable of, it often turns out that Sam Altman was, if not the first to articulate it, at least the most persuasive and influential voice behind it.  For more than a decade he has been known in Silicon Valley as a world-class…

Depending who you ask, AI-powered coding is either giving software developers an unprecedented productivity boost or churning out masses of poorly designed code that saps their attention and sets software projects up for serious long term-maintenance problems. The problem is right now, it’s not ...

Most AI projects start with one annoying chore: cleaning messy files. PDFs, Word docs, PPTs, images, audio, and spreadsheets all need to be converted into clean text before they become useful. Microsoft’s MarkItDown finally fixes this problem. In this guide, I will show you how to install it, ...

Picture this: You're sitting in a conference room, halfway through a vendor pitch. The demo looks solid, and pricing fits nicely under budget. The timeline seems reasonable too. Everyone’s nodding along.You’re literally minutes away from saying yes.Then someone from your finance team walks in. They ...

OpenAI team has released their openai/circuit-sparsity model on Hugging Face and the openai/circuit_sparsity toolkit on GitHub. The release packages the models and circuits from the paper ‘Weight-sparse transformers have interpretable circuits‘. What is a weight sparse transformer? The models are ...

I’ve spent plenty of time building agentic systems. Our platform, Mentornaut, already runs on a multi-agent setup with vector stores, knowledge graphs, and user-memory features, so I thought I had the basics down. Out of curiosity, I checked out the whitepapers from Kaggle’s Agents Intensive, and ...

Gen AI in software engineering has moved well beyond autocomplete. The emerging frontier is agentic coding: AI systems capable of planning changes, executing them across multiple steps and iterating based on feedback. Yet despite the excitement around “AI agents that code,” most enterprise ...

Everyone talks about LLMs—but today’s AI ecosystem is far bigger than just language models. Behind the scenes, a whole family of specialized architectures is quietly transforming how machines see, plan, act, segment, represent concepts, and even run efficiently on small devices. Each of these ...

Can a 3B model deliver 30B class reasoning by fixing the training recipe instead of scaling parameters? Nanbeige LLM Lab at Boss Zhipin has released Nanbeige4-3B, a 3B parameter small language model family trained with an unusually heavy emphasis on data quality, curriculum scheduling, ...

Deep learning models are based on activation functions that provide non-linearity and enable networks to learn complicated patterns. This article will discuss the Softplus activation function, what it is, and how it can be used in PyTorch. Softplus can be said to be a smooth form of the popular ...