admin 
[ad_1] Stablecoins are arguably the most successful real-world use case of blockchain technology. They’re foundational to value exchange in DeFi, often used as collateral, settlement currency, and trading pair across every major crypto platform. As a result, they’re among the most widely owned and liquid assets in the space. But not all stablecoins are built … Read more
[ad_1] Looking for the right text-to-speech model? The 1.6 billion parameter model Dia might be the one for you. You’d also be surprised to hear that this model was created by two undergraduates and with zero funding! In this article, you’ll learn about the model, how to access and use the model and also see … Read more
[ad_1] Have you ever come across a situation where you wanted your chatbot to use a tool and then answer? Sounds complicated, right! But now, MCP (Model Context Protocol) offers you a way to integrate your LLM to external tools easily and the LLM will be able to use those tools in every way. In … Read more
[ad_1] If you look at the past 1 year, the browsing game has changed drastically. It all started with Perplexity and Co-pilot offering more detailed and personalized answers to search queries, and got amplified when ChatGPT added the web search option in its interface. Fast forward to today, all LLMs, be it Grok, Qwen, DeepSeek, … Read more
[ad_1] Agent-to-Agent (A2A) and Model Context Protocol (MCP) are two of the most widely used AI protocols that have garnered significant attention as of recent. At first glance, one might think “A2A vs MCP” as an either/or choice, but in reality these protocols address different challenges. This article elucidates what A2A and MCP are, clarifies … Read more
[ad_1] Coding is among the top uses of LLMs as per a Harvard 2025 report. Engineers and developers around the world are now using AI to debug their code, test it, validate it, or write scripts for it. In fact, with the way current LLMs are performing at generating code, soon they will be almost … Read more
[ad_1] As the field of AI is evolving, Retrieval-Augmented Generation (RAG) has emerged as a turning point in the field of Artificial Intelligence. Now vision RAG integrates these abilities into the visual space by integrating images, diagrams, and videos. Vision RAG enables models to produce responses that are not just textually correct but visually enriched. … Read more
[ad_1] “Software engineering is changing, and by the end of 2025 it’s going to look fundamentally different.” Greg Brockman’s opening line at OpenAI’s launch event set the tone for what followed. OpenAI released Codex, a cloud‑native software agent designed to work alongside developers. Codex is not a single product but a family of agents powered by codex‑1, … Read more
[ad_1] Jupyter MCP Server is an extension for Jupyter environments that integrates LLMs with real-time coding sessions. By implementing the Model Context Protocol (MCP), it enables AI models to interact with Jupyter’s kernel, file system, and terminal in a secure and context-aware manner. This blog will explore how you can use Jupyter MCP Server within … Read more
[ad_1] Google’s annual event I/O has returned this year, pushing the boundaries of AI further than ever before. What started off with the keynote speech by Google CEO Sundar Pichai, highlighting the milestones accomplished by the tech giant, soon escalated to an ever-exciting show of AI-powered advancements and new generative AI tools. From the new … Read more