Millnew AI – Explaining time-series models using local LLMs and Captum
An AI capable of running 100% locally using a hybrid TCN-LSTM-Attention model to predict time sequences in a way that is understandable to everyone through open-source's LLM - ikaruz050309/RobinHood
Millnew AI – Explaining time-series models using local LLMs and Captum launched on August 27, 2026 with 5 votes, #1,809 of 23,274 launches that month and more than 75% of that year's launches. The site was not reachable when checked in October 2026.
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I built a tiny LLM to demystify how language models workApr 2026 · github.com · ▲915Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
LLM StatsOct 2025 · llm-stats.com · ▲293I was overspending on GPT-4o. It was really hard to compare different models I could switch to, so I built this LLM comparison tool. It shows leaderboards, pricing, and performance data across 100+ LLMs (including all major providers and open-source models). Key features: - Live pricing comparisons - Benchmark Scores (MMLU, HumanEval, GPQA, etc.) - Context length vs cost analysis - Speed/throughput tests across providers - Quality vs price visualizations - Open source (all data verifiable) Try it out: https://llmstats.com I'd like to know your opinion :) Tech stack: Next.js,…
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