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Practical insights on building production-ready ML systems and evaluating emerging AI models, combining deep technical analysis with hands-on implementation strategies.

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Reasoning model in a non-English language using GRPO trainer (TRL) and Unsloth

This weekend, I decided to perform a short test on the Group Relative Policy Optimization (GRPO) technique, introduced in DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

DeepSeek-R1

Training Language Models to reason through Reinforcement Learning

Kokoro-82M

When smaller means better in text-to-speech

Converting documents to Markdown and JSON at scale

A modern approach for AI/LLM practitioners

ModernBERT — A modernized BERT for NLP tasks

Overview, benchmarks, and fine-tuning notebook

Direct Preference Optimization (DPO) in Language Model Alignment

Implementations by OpenAI, Unsloth, and Hugging Face

Background Tasks in Django (part 1)

Modern web applications face a specific challenge: they need to handle quick user interactions and complex tasks that take time.

Django Class-based vs Function-based views

When building Django applications, developers face a critical architectural decision that impacts maintainability, code organization, and development speed: choosing between Class-based views (CBVs) and Function-based views (FBVs).

Building multi-agent systems with CrewAI

Multi-agent systems (MAS) use multiple AI agents working together to solve complex tasks by dividing them into smaller, manageable parts.

AWS vs Azure vs GCP: Choosing the right ML infrastructure

Looking for the best cloud platform for machine learning?