Free AI research & data tools
Free AI research & data tools launched on AI Launch, ranked by community upvotes. 7 products.
- 🥇Vorlagenplatz✨ Featured
Vorlagenplatz bietet kostenlose Vorlagen zum direkten Ausfül
Kostenlose Vorlagen zum Ausfüllen & Ausdrucken Fülle Vorlagen direkt online aus oder lade die leere Version als PDF herunter – ohne Anmeldung und komplett gratis. Von der Kündigung bis zur Bastelvorlage. Vorlage suchen
💬 0Research & DataDesignFreeby Kashif Nazir Khan
- 2LLM Attention Visualization
A visualization of the attention mechanism in LLMs.
An interactive visualization of the attention mechanism in a small large language model. Hover or tap any generated token to see which earlier tokens influenced it, with opacity scaled by attention weight across all heads and layers. Exampl
💬 0Y▲ 177 on HNResearch & DataLLMs & InfrastructureFreeby AI Launch Team
- 3JevBench
A reproducible benchmark for typed decision models
JevBench, from Benchmark Heaven, compares Jev-class decision models across intelligence, calibration, speed and cost. It sits alongside Benchmark Heaven's broader model rankings, which can be filtered by provider, lab, hosting region and da
💬 0Y▲ 153 on HNResearch & DataLLMs & InfrastructureFreeby AI Launch Team
- 4TinyBrains
Build the smallest neural network that plays strategy games well
TinyBrains is a ranked ladder for small neural networks that play strategy games. Train a model, write an adapter, upload two files, and get measured into a weight class starting at 8 KiB. First shared by its maker on Show HN: https://news
💬 0Y▲ 116 on HNResearch & DataFreeby AI Launch Team
- 5PacBench
How well can models one-shot a Pac-Man game?
PacBench tests how well a model and harness can recreate Pac-Man from one prompt: "Create a Pac-Man game in a single html page." Entries from different models and harnesses can be sorted by score, cost, time and tokens, with run data for ea
💬 0Y▲ 78 on HNCoding & Dev ToolsResearch & DataFreeby AI Launch Team
- 6Doom or Bloom
Map your AI worldview
Doom or Bloom lets you map your worldview on how AI will change the future and compare it with public figures. Answer a few questions to see where you land between doom and bloom, and between incremental and civilizational change. First sh
💬 0Y▲ 56 on HNResearch & DataFreeby AI Launch Team
- 7Sunk Cost
How long until a local LLM rig pays for itself?
Sunk Cost estimates how long a machine for running local AI models takes to pay for itself compared with paying for an API. Pick a Mac mini, Mac Studio, DGX Spark or Strix Halo box, see which open models fit and how fast they run, and adjus
💬 0Y▲ 47 on HNLLMs & InfrastructureResearch & DataFreeby AI Launch Team
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