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Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.

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Fine-tuning Large Language Models: A Practical Guide
••February 12, 2024

Fine-tuning Large Language Models: A Practical Guide

Learn how to fine-tune LLMs like Llama 2, Mistral, and GPT models for your specific use case. Includes LoRA, QLoRA, and full fine-tuning techniques.

KU
Kiril Urbonas
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Building Production-Ready AI Applications with LangChain and Docker
••February 3, 2024

Building Production-Ready AI Applications with LangChain and Docker

Learn how to containerize and deploy LangChain applications in production. Best practices for scaling, monitoring, and maintaining AI-powered services.

KU
Kiril Urbonas
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Orchestrating AI Agents on Kubernetes
••January 15, 2024

Orchestrating AI Agents on Kubernetes

A deep dive into managing stateful LLM workloads, scaling inference endpoints, and optimizing GPU utilization in a cloud-native environment.

KU
Kiril Urbonas
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Fine-tuning Llama 3 on Consumer Hardware
••January 1, 2024

Fine-tuning Llama 3 on Consumer Hardware

Optimization techniques like LoRA and 4-bit quantization to run state-of-the-art models locally.

KU
Kiril Urbonas
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