What Is PewDiePie Building? | For Beginners
Learn how to build local AI agents using Odysseus and llama.cpp. We break down agent harnesses, tool calling, and fine-tuning Qwen 3.5 9B on agent traces for maximum privacy and control.
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Local Inference
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Llama.cpp vs vLLM: Which Local LLM Engine Actually Scales? Llama.cpp and vLLM are two key engines for local LLMs. Llama.cpp optimizes for consumer hardware using quantization and GGUF files, while vLLM focuses on production scale with continuous batching and paged attention.Recent signals
What Is PewDiePie Building? | For Beginners Learn how to build local AI agents using Odysseus and llama.cpp. We break down agent harnesses, tool calling, and fine-tuning Qwen 3.5 9B on agent traces for maximum privacy and control. AITX Austin Hackathon Winners Spotlight Two winning agents—MasteryWrite and 8kEdu—demonstrate autonomous applications for EdTech. They use advanced frameworks like NemoClaw to build self-improving systems that analyze video lectures and grade student essays.
AITX Austin Hackathon Winners Spotlight
Two winning agents—MasteryWrite and 8kEdu—demonstrate autonomous applications for EdTech. They use advanced frameworks like NemoClaw to build self-improving systems that analyze video lectures and grade student essays.
Read article
Llama.cpp vs vLLM: Which Local LLM Engine Actually Scales?
Llama.cpp and vLLM are two key engines for local LLMs. Llama.cpp optimizes for consumer hardware using quantization and GGUF files, while vLLM focuses on production scale with continuous batching and paged attention.
Read article