- “ai”
- “image-generation”
- “flux”
- “lora”
- “black-forest-labs”
- “low-vram”
- “ai-image-generation”
- “flux-models”
- “lora-training”
- “rag-mechanics”
- “rag-embedding”
- “embedding-models”
- “domain-specific-data”
- “fine-tuning”
- “text-chunking”
- “chromadb”
- “quantisation”
- “large-language-models”
- “nvidia”
- “nemotron”
- “parameters”
- “2026 04 14 Adam Lucek quantisation of LLM”
Adam Lucek is known for his practical implementations in AI image generation, particularly with FLUX.1 models.
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Quantisation of LLMs
- Detailed overview in video: https://www.youtube.com/watch?v=3EDI4akymhA
- Explains quantisation for LLMs like NVIDIA’s Llama 3.1 Nemotron 70B (70.6 billion parameters)
- Covers storage requirements (e.g., 30+ GB)
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2026-04-24 2026-04-24-DeepSeek-V4-Next-Gen-Open-Source-LLM-Performance-and-Efficiency-Analysis ← Deepseek V4 Next Gen Open Source Llm Performance And Efficiency Analysis
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2026-04-30 2026-04-30-NVIDIA-Nemotron-3-Nano-Omni-Unified-Multimodal-AI-Agent ← Nvidia Nemotron 3 Nano Omni Unified Multimodal Ai Agent
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2026-04-10 2026-04-10-Bonsai-8B-PrismMLs-Revolutionary-1-Bit-LLM-First-Look-Test ← Bonsai 8B Prismmls Revolutionary 1 Bit Llm First Look Test