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#ai-generated

14 posts tagged #ai-generated. Show all.

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14 posts

Aug 5, 2026 401k options for person in their 20s when quitting job in the USA
Comparing options for what to do with their 401k for a person in the 20s in the USA when quitting their job - AI generated, as is, check for mistakes.
finance retirement ira tax
Jul 17, 2026 A new fair metric for comparing LLMs by intelligence and cost
A new way to measure LLM value as a combination of intelligence and price - fitted to the market, resistant to cheap-model dominance, and visualized live in ollamadash.
ai metrics ollamadash ai-generated
Jun 30, 2026 Mac Power User Finder customizations Cheatsheet
Mac Finder is grossly underconfigured by default for power users. These are some (AI generated) tweaks to customize it. Warning: Some are verified, others are not, so review each one carefully before using.
mac finder poweruser cheatsheet
Jun 29, 2026 Model analysis summary
A deep dive into the different parts of the model ids - parameters, quantization, but also architectural stems like MXFP8, NVFP4, MLX, etc. - what they mean and how they interact with each other. Semi-raw analysis from claude code.
ai llm quantization ai-generated
Jun 29, 2026 Model-ID stem analysis - quality / speed / size rankings and combinability
Analysis of the architectural and quantization stems in model identifiers, ranking them on quality, speed (TTFT and TPS), and size across Mac, Linux, and WSL2 - plus a combination matrix of what stacks and what is mutually exclusive.
ai llm quantization ai-generated
Jun 29, 2026 Model-ID glossary research notes
Verified findings and source URLs collected as encountered during research for the model-ID glossary - covering GGUF quantization, NVFP4/MX formats, MLX, QAT, MTP, MoE notation, YaRN, distillation, MatFormer, DPO, LASER, reasoning models...
ai llm reference ai-generated
Jun 29, 2026 Model glossary run 01 - Core ID inventory
Run 01 of the model-ID glossary analysis - extracts and counts identifier strings, families, quantization labels, variants, parameter sizes, and providers across the Ollama, OpenRouter, and Artificial Analysis datasets.
ai llm reference ai-generated
Jun 29, 2026 Model glossary run 02 - Unified stem frequency table
Run 02 of the model-ID glossary analysis - tokenizes every identifier across all three datasets and produces a unified stem frequency table, including special architectural tokens.
ai llm reference ai-generated
Jun 29, 2026 Model glossary run 03 - Advanced quant/format/training stems
Run 03 of the model-ID glossary analysis - lists Ollama tags carrying advanced quantization, format, and training stems (NVFP4, MXFP8, FP8, QAT, MTP, MLX, INT4, INT8).
ai llm reference ai-generated
Jun 29, 2026 Model glossary run 04 - Codename context resolution
Run 04 of the model-ID glossary analysis - resolves context for obscure codename tokens (rnj, hy3, jt, rsnsft, laguna, ling, etc.) by matching them against identifier strings across all three datasets.
ai llm reference ai-generated
Jun 29, 2026 Model glossary run 05 - Performance & combination research notes
Run 05 of the model-ID glossary analysis - verified findings and source links on the GGUF quant ladder, MLX vs llama.cpp, NVFP4/MXFP4/FP8, QAT, TTFT vs TPS, and orthogonal build-time techniques.
ai llm quantization ai-generated
Jun 29, 2026 Model glossary run 06 - Stem axis classification and combinability
Run 06 of the model-ID glossary analysis - classifies stems into the three orthogonal axes (numeric encoding, runtime, build-time technique) and tabulates which combinations stack, warn, or are mutually exclusive.
ai llm quantization ai-generated
Jun 29, 2026 Model glossary run 07 - v2 verification
Run 07 of the model-ID glossary analysis - re-researches the four hedged claims in the analysis report (Ollama MLX backend, FP4 in llama.cpp, Apple Silicon FP4/FP8 hardware, MLX long-context decode) with sources.
ai llm quantization ai-generated
Jun 29, 2026 Model-ID glossary - every part in model identifiers
A reference that decodes every meaningful stem found in model identifiers across Artificial Analysis, Ollama, and OpenRouter - parameter sizes, quantization/precision formats, runtimes, build-time techniques, capability suffixes, context...
ai llm reference ai-generated