Ollama, vLLM, and SGLang serve different LLM workloads
① Ollama → Simple, local model execution.
② vLLM → High-throughput, concurrent serving.
③ SGLang → Agentic workflows, prefix caching, and structured outputs.
Choose based on your workload, not the hype.
#AI#vLLM
The Harness Behind Reliable LLM Agents
① Skills → Execution capabilities
② Memory → Context and experience ③ Harness → Orchestration, evaluation and control
④ Protocols → Agent, user and tool coordination
A strong harness turns LLMs into reliable agentic systems.
#AI
Why can grids of numbers recognize faces, recommend videos, and generate language?
Vectors hold data. Matrices transform it. Their product chains transformations. Eigenvalues show principal directions. SVD factors matrices to compress and denoise.
This math powers neural nets, dimensionality reduction, and nearly all modern AI.
The geometry of data is the geometry of intelligence.
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