Every day the feed hypes the next big LLM. That makes sense — language unlocked new product workflows. But the release of DINOv3 is a reminder that vision is entering a comparable inflection point: a single, frozen backbone that delivers high-resolution dense features usable across many tasks, often without fine-tuning. This matters for product velocity, annotation budgets, and where engineering effort should live. (AI Meta, GitHub)

Content strategy is undergoing a fundamental shift: traditional SEO, with its keyword-centric, link-building tactics, is giving way to Generative Engine Optimization (GEO), an approach designed to ensure content is not only discoverable but also directly consumable by AI-driven search systems. As a data scientist who has spent years working with NLP models, LLM pipelines, and AI-driven analytics, I’ve witnessed firsthand how this transition is transforming digital discovery. In my expert opinion, companies that embrace GEO today will secure a decisive advantage tomorrow.

A quick way to convert all your code project into one text file for LLMs based context or RAG based applications.

Exploring the Real-World Implications and Regulatory Imperatives Amidst Israel’s AI-Enabled Military Operations

Document AI using python and Tensorflow, using CNN (for image) and BERT (for text), and combining both in a multimodal model to get the best of both worlds

In recent years, deep machine learning models have become increasingly popular in various fields, including computer vision, natural language processing, and speech recognition. These models are trained on large datasets to learn patterns and make predictions. However, as time passes, the data distribution may change, leading to a phenomenon called “data drift.” This can cause a drop in model performance and accuracy. Therefore, it is essential to detect data drift and update the model accordingly.

This article describes a novel Multi Page Document Classification solution approach, which leverages advanced machine learning and textual analytics to solve one of the major challenges in the Mortgage industry.

This article describes a novel Multi-Page Document Classification solution approach, which leverages advanced machine learning and textual analytics to solve one of the major challenges in Mortgage industry. This is the part 4 of our series of blogs. You can find the links to the different parts of the series below.