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Suppose there is a smart computer in your cell phone. It responds instantly, knows your language, and is completely functional even without the internet. This AI will keep your information confidential on your device. It does not need any additional charge per question. Such is the future that Sarvam Edge is creating in India. Sarvam […]
Sarvam Edge: A Beginner’s Guide to On-Device AI for India 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.
Mercury 2: The AI Model That Feels Instant Read More »
Liquid Foundation Models (LFM 2) define a new class of small language models designed to deliver strong reasoning and instruction-following capabilities directly on edge devices. Unlike large cloud-centric LLMs, LFM 2 focuses on efficiency, low latency, and memory awareness while still maintaining competitive performance. This design makes it a compelling choice for applications on mobile
Preference Fine-Tuning LFM 2 Using DPO Read More »
Google just dropped T5Gemma-2, and it is a game-changer for someone working with AI models on everyday hardware. Built on the Gemma 3 family, this encoder-decoder powerhouse squeezes multimodal smarts and massive context into tiny packages. Imagine running 270M parameters running smoothly on your laptop. If you’re looking for an efficient AI that handles text,
Google T5Gemma-2 Explained: Trying Out a Laptop-Friendly Multimodal AI Model Read More »
