LLM Wiki Revolution: How Andrej Karpathy’s Idea is Changing AI
Think about revisiting items you’ve saved to Pocket, Notion or your bookmarks. Most people don’t have the time to re-read all of these things after they’ve saved them to these various apps, unless they have a need. We are excellent at collecting tons of information. However, we are just not very goo...
Rethinking Enterprise Search: How Cortex Search Turns Data into Business Impact
According to Stack Overflow and Atlassian, developers lose between 6 and 10 hours every week searching for information or clarifying unclear documentation. For a 50-developer team, that adds up to $675,000–$1.1 million in wasted productivity every year. This is not just a tooling issue. It is a retr...
Building A Bulletproof Strategy For Data Recovery (Sponsored)
Data disruptions are no longer rare events. Hardware failures, ransomware, and unexpected outages can interrupt operations at any time. The difference between a temporary setback and a major business disruption often comes down to preparation.
Architecture and Orchestration of Memory Systems in AI Agents
The evolution of artificial intelligence from stateless models to autonomous, goal-driven agents depends heavily on advanced memory architectures. While Large Language Models (LLMs) possess strong reasoning abilities and vast embedded knowledge, they lack persistent memory, making them unable to ret...
A loss function is what guides a model during training, translating predictions into a signal it can improve on. But not all losses behave the same—some amplify large errors, others stay stable in noisy settings, and each choice subtly shapes how learning unfolds. Modern libraries add another layer ...
Mamba4 Explained: A Faster Alternative to Transformers for Sequential Modeling
Transformers revolutionized AI but struggle with long sequences due to quadratic complexity, leading to high computational and memory costs that limit scalability and real-time use. This creates a need for faster, more efficient alternatives. Mamba4 addresses this using state space models with selec...
“Just in Time” World Modeling Supports Human Planning and Reasoning
An overview of a state-of-the-art study, uncovering simulation-based reasoning, a "just-in-time" framework and how it helps improve predictions in the context of supporting human planning and reasoning.
Claude Code Leak: 16 Lessons on Building Production-Ready AI Systems
Over the past 24 hours, the developer community has been obsessed with one thing. A leak. The source code of Claude Code, one of the most advanced AI coding systems, surfaced online. Within hours, GitHub was flooded with forks, breakdowns, and deep dives. For developers, it felt like rare access. Wh...
Speculative Decoding: How LLMs Generate Text 3x Faster
You probably use Google on a daily basis, and nowadays, you might have noticed AI-powered search results that compile answers from multiple sources. But you might have wondered how the AI can gather all this information and respond at such blazing speeds, especially when compared to the medium-sized...
Qwen3.5-Omni is here! Scaling up to a Native Omni-modal AGI
Multimodal AI has grown from novelty to a must in recent times. Need proof? If I were to tell you to work on an AI model that only understands text, you would probably laugh and throw 10 model names at me that can work across formats – be it text, audio, or visuals. The new […]
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Gemini 3.1 Flash Live: AI Conversations Now Feel Way More Human
Do you remember the very first AI voice conversation that you had? No doubt, it felt unreal getting live answers from a talking bot. But the one thing largely missing from the interaction was the feel of a human responding to your queries. Years on, we now see AI models have evolved largely in this ...
20+ Solved ML Projects to Build Your Portfolio and Boost Your Resume
Projects are the bridge between learning and becoming a professional. While theory builds fundamentals, recruiters value candidates who can solve real problems. A strong, diverse portfolio showcases practical skills, technical range, and problem-solving ability. This guide compiles 20+ solved proje...
Building Custom Claude Skills For Repeatable AI Workflows
Claude Skills is the latest AI tool that targets AI automation at some level. Anthropic was smart enough to identify one key problem developers face every day – having to rewrite prompts for repetitive tasks. So, packaging it in the form of “Skills”, Claude brings a new way to store these prompts or...
Build an AI Meeting Summarizer & Action Planner with Claude Code + MCP
Teams across companies lose meeting notes and action items after discussions. This guide builds a lasting fix: an AI Meeting Summarizer and Action Planner using Claude Code with MCP. It processes transcripts into structured summaries with tasks, decisions, and calendar invites, connects to Google Ca...
Build a Full-Stack App in Minutes with Google’s New AI Studio Tools
The development of a modern web application can be a complicated puzzle. You have to do user authentication, maintain a database, and enable third-party provisions, such as maps. This process often takes days of coding. However, what if you could create a data-driven app just by describing it in a p...