Practical articles, in-depth tutorials, and architectural insights on software engineering, AI, and systems.
Learn how to protect your language models against prompt injection attacks, ensuring data security and blocking malicious commands.
Learn how to deploy open-source language models in your homelab using Llama.cpp and Ollama to ensure complete data privacy and low inference latency.
Learn how to connect local language models to private knowledge bases using vector embeddings, ensuring absolute data privacy and precise answers without relying on external clouds.
Learn how to protect language models against prompt injection attacks using input validation and sanitization guardrails in practice.
Learn how vLLM uses PagedAttention memory paging to eliminate GPU RAM waste, speeding up artificial intelligence inference in the cloud.
Learn how to fine-tune language models using low VRAM on your consumer graphics card with the QLoRA quantization technique step by step.
Discover why Retrieval-Augmented Generation systems generate false answers and learn to implement strict guardrails and validations in production.
Learn how to integrate the Claude 3.5 Sonnet API into enterprise apps safely, handling errors gracefully and keeping operational costs under control.
Discover the mathematical mechanisms behind artificial intelligence hallucinations and learn how to harden your enterprise applications with rule-based guardrails.
Learn how to design communication architecture between multiple language models to execute complex tasks in automated workflows.
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