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The AI Whisperer's Guide: How to Make Your Content Sing for LLMs (and Humans)!
Hey there, fellow devs, hackers and builders! Ever feel like the ground beneath your SEO feet is shifting faster than a TikTok trend? You're not alone. The world of search is undergoing a seismic shift, and it's all thanks to our new AI overlords… I mean, Large Language Models (LLMs)! Remember the good old days when keyword stuffing was a thing (shudder)? Or when getting a gazillion backlinks was the holy grail?…
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Getting Started with SmolLM3‑3B‑GGUF for Long‑Context Multilingual Reasoning
SmolLM3 is a compact 3 billion‑parameter transformer that delivers state‑of‑the‑art performance at the 3B–4B scale, supporting six major languages and extended contexts up to 128 000 tokens. This powerful yet compact model offers capabilities comparable to 4B models, making it lightweight and suitable for edge devices. It excels in long-context reasoning, able to handle up to 128,000 tokens from documents, transcripts, or logs. Furthermore, its multilingual instruction-tuning for English, French, Spanish, German, Italian, and Portuguese makes it ideal for global applications.…
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Gemma-3n-E2B-it for on‑device LLM applications
Gemma 3n was built hand‑in‑glove with some of the biggest mobile‑chip makers out there. It shares the same clever architecture that’ll power the next‑gen Gemini Nano—so you get rock‑solid, on‑device smarts without ever pinging the cloud. Gemma‑3n‑E2B‑it is Google DeepMind’s newest edge‑first transformer model: a 4.46 B‑parameter MatFormer that behaves like a 2 B model in RAM, runs wholly offline on as little as 2 GB VRAM thanks to Per‑Layer Embeddings (PLE), and still delivers 32 000‑token context and multimodal I/O: ext + image + audio + video.…
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Save $900/Day with WasmEdge: Live Demos on Self-Hosted AI & GenAI Stacks at KubeCon China 2025
The cloud-native and open-source community is buzzing with anticipation for the upcoming KubeCon + CloudNativeCon China 2025, scheduled to take place in Hong Kong from June 10-11, 2025. This once-in-a-year premier event promises to be a remarkable gathering of open-source luminaries, industry leaders, and developers, offering unparalleled opportunities for face-to-face interactions and insights into the future of open source and cloud-native computing. A standout presence at this year's conference will undoubtedly be Second State/ WasmEdge team.…
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Effortless JSON Generation with Osmosis‑Structure‑0.6B
Osmosis recently open-sourced a specialized small language model called Osmosis-Structure-0.6B. It is optimized for generating structured output. Structured output—such as JSON—is essential for use cases like agents and coding. With just 0.6 billion parameters, this lightweight model is ideal for self-hosting on your own device. Why does this matter? Interestingly, prompting a regular LLM to directly produce structured output like JSON often reduces its performance on complex tasks. A better approach is to let the main LLM generate responses in natural language first, then pass that output to Osmosis-Structure-0.…
LLMOsmosis-StructureEdge AIAI inferenceRustWebAssemblystructured dataJSON generation
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LFX Mentorship 2025: Supercharge Your Summer with WasmEdge Projects
Applications are now open for the LFX Mentorship Program – Summer 2025 Term (June to August)! If you're passionate about WebAssembly, AI agents, LLMs, or edge computing, this is your chance to learn from experienced mentors, contribute to CNCF-hosted projects like WasmEdge, and earn a stipend while doing so. 📅 Application Period: May 15 – May 27, 2025 🔗 Apply on the LFX Mentorship Portal Why Should You Join? WasmEdge is a lightweight and fast WebAssembly runtime optimized for cloud-native, edge, and AI workloads.…
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Getting Started with Qwen3
Get ready for Qwen3! This is Alibaba's latest and most advanced large language model series! These models range in scale from 0.6 billion to 235 billion parameters, and are designed to excel in a wide range of tasks. Qwen3 is the world's first open-source hybrid reasoning model – integrating both ‘reasoning’ and ‘non-reasoning’ modes within the same model, allowing it to choose between ‘fast thinking’ and ‘slow thinking’ like humans, depending on the question.…
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Getting Started with Llama 4
Meta AI has once again pushed the boundaries of open-source large language models with the unveiling of Llama 4. This latest iteration builds upon the successes of its predecessors, introducing a new era of natively multimodal AI innovation. Llama 4 arrives with a suite of models, with Llama 4 Scout and Llama 4 Maverick firstly launched and 2 more coming, each engineered for leading intelligence and unparalleled efficiency. This series boasts native multimodality, mixture-of-experts architectures, and remarkably long context windows of 10 million tokens, promising significant leaps in performance and broader accessibility for developers and enterprises alike.…
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Open Source Adventure: Apply to Google Summer of Code 2025 with WasmEdge!
Have you ever dreamed of contributing to real-world tech projects, collaborating with seasoned developers, and getting paid to write code that matters—all while building your resume? Google Summer of Code (GSoC) 2025 is your golden ticket, and WasmEdge wants YOU to join the journey! What’s Google Summer of Code? Google Summer of Code (GSoC) is a global, online program that pays you to work on open source projects during your summer break.…
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Getting Started with Gemma 3
Gemma-3 is a lightweight, efficient language model developed by Google, part of the Gemma family of models optimized for instruction-following tasks. Designed for resource-constrained environments, Gemma-3 retains strong performance in reasoning and instruction-based applications while maintaining computational efficiency. Its compact size makes it ideal for edge deployment and scenarios requiring rapid inference. This model achieves competitive results across benchmarks, particularly excelling in tasks requiring logical reasoning and structured responses. We have quantized Gemma-3 in GGUF format for broader compatibility with edge AI stacks.…