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Generative AI is reshaping how software is built, content is created, and businesses operate. More learners than ever are trying to understand this space. But the biggest challenge isn’t the lack of resources. It’s figuring out which ones actually help you learn. This article will list the best YouTube channels for learning Generative AI, to […]
As a public sector leader, the pressure to resolve operational issues in your organization is constant, and you may be considering new or better AI models, AI agents or more broadly applied generative AI (GenAI) applications. At the same time, growing use of AI can raise issues related to accountability, […] The post Five imperatives
Five imperatives for responsible AI in government Read More »
Do you build GenAI systems and want to deploy them, or do you just want to learn more about FastAPI? Then this is exactly what you were looking for! Just imagine you have lots of PDF reports and want to search for specific answers in them. Either you could spend hours scrolling, or you could
I use AI a lot. But if I’m being honest, most of the time it feels like working with a brilliant intern who never actually touches the keyboard. It tells me what to do, suggests steps, and even drafts the perfect response. Yet I’m still the one switching tabs, filling forms, copying data, and stitching
Perplexity Computer is Here to Change the Way we Use AI Read More »
Nano Banana Pro has been my personal favorite tool for creating high-quality social media posts, infographics, project flows, and more. Now, Google has upgraded it with Nano Banana Pro 2, and it’s a serious step up. The new version is not only faster than the previous model but also more affordable. In this article, I’ll
Nano Banana 2 vs Nano Banana Pro: What’s the Difference? Read More »
You must have faced the never-ending wait of an AI model taking its time to answer your query. To put an end to this wait, the new Mercury 2 reasoning model of Inception Labs is now live. It works a bit differently from others. It employs diffusion to provide quality answers at nearly instant speed.
The last year has been big for Google’s AI efforts. Its rapid-fire model releases have brought it to parity with the likes of OpenAI and Anthropic and, in some cases, pushed it into the lead. The Nano Banana image generator was emblematic of that trend when it debuted last year, and subsequent updates only made
Google reveals Nano Banana 2 AI image model, coming to Gemini today Read More »
A few years ago, generating an image from text felt magical. Then text-to-video turned prompts into moving scenes. Now models generate complete video sequences without cameras, actors, or editing timelines. ByteDance’s Seedance 2.0 pushes this further. Instead of short silent clips, it delivers a multimodal system that plans scenes in shots, synchronizes audio natively, and
What is Seedance 2.0? [Features, Architecture, and More] Read More »
The generative AI race has long been a game of ‘bigger is better.’ But as the industry hits the limits of power consumption and memory bottlenecks, the conversation is shifting from raw parameter counts to architectural efficiency. Liquid AI team is leading this charge with the release of LFM2-24B-A2B, a 24-billion parameter model that redefines
AI can generate insights faster than any analyst ever could. But speed isn’t the problem anymore. The real problem is value. In 2026, the gap isn’t between companies that use AI and those that don’t. It’s between those who can explain AI-generated insights clearly and those who just copy-paste model outputs into slides and hope
Data Storytelling using AI: 5 Techniques to Present AI-Generated Insights Read More »
