Siarhei Berdachuk
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Explore our comprehensive collection of AI articles covering everything from large language models and neural networks to practical development guides and benchmarks.

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Browse through our AI content, from foundational concepts to advanced implementations and real-world applications.

Multimodal LLMs vs Dedicated ASR for Russian Speech: 9 Engines on One 16GB GPU

17-Sept-2026

Multimodal LLMs vs Dedicated ASR for Russian Speech: 9 Engines on One 16GB GPU

Russian ASR WER benchmark on an RTX 5060 Ti: GigaAM and faster-whisper beat multimodal LLMs on spontaneous speech; Gemma 4 12B QAT ties them on studio reads.

Local AI Code Review with OpenCodeReview, OpenCode, and Qwen3.6-35B-A3B

12-Sept-2026

Local AI Code Review with OpenCodeReview, OpenCode, and Qwen3.6-35B-A3B

A practical, local-first workflow for running deterministic AI code reviews through OpenCodeReview against an OpenAI-compatible Qwen3.6-35B-A3B endpoint.

Qwen3.8-27B-NVFP4 on a 24GB RTX 4090: What a Dense Model Can and Cannot Do

09-Sept-2026

Qwen3.8-27B-NVFP4 on a 24GB RTX 4090: What a Dense Model Can and Cannot Do

Qwen3.8-27B-NVFP4 on RTX 4090 with FreeToken: dense weights fit, but the KV ceiling is ~5.6K tokens — 38/40 qualbench, 51/53 agentbench.

Qwen3.6-35B-A3B on a 16 GB RTX 5060 Ti: Why Context Beats Tok/s for Coding

03-Sept-2026

Qwen3.6-35B-A3B on a 16 GB RTX 5060 Ti: Why Context Beats Tok/s for Coding

Qwen3.6-35B-A3B on a 16 GB RTX 5060 Ti with FreeToken: long-context tuning, FP8 vs NVFP4 throughput and correctness, and real memory requirements.

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