AI Research / LLM Training / Write-up
A detailed technical write-up about training a 3.8B-parameter language model from scratch, including setup, throughput improvements, ablations, benchmarks, and cost/performance results.
The page clearly describes an AI-related project with substantial technical detail: a 3.8B LLM trained from scratch, the hardware used, training time, cost, model architecture, results, and experiments. It offers enough evidence for a useful public listing and is clearly aimed at AI builders and researchers.
The snapshot is a long article rather than a packaged tool or reusable project, and it does not show a repo link, code release, checkpoints, or a way for visitors to try the model directly.
Last evaluated 18 hours ago. Current rank #1669. Up 6 spots in the rankings.
An autonomous research system that runs on a single workstation and aggressively checks its own claims with adversarial self-verification, replication, and calibration audits.
An MCP-based research agent that searches live web data through SQL and publishes reports with the full query and tool trajectory.
Uno is a research repository for speeding up LLM inference with discrete diffusion and lossless multi-token decoding. The repo includes inference, training, and evaluation code, plus installation steps, checkpoints, and example workflows.
An arXiv paper describing an open library of 163 procedural skills for research agents across 16 scientific areas, with versioned instruction files and accompanying reference material or runnable scripts.
