getdesign.md
getdesign.mdgetdesign.md collects design system analyses that can serve as references for AI coding agents.
Looking for something like SEAL LLM Leaderboards? Here are 19 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 4 are open source.
SEAL LLM Leaderboards presents expert-driven benchmarks and rankings across coding, reasoning, and other areas.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | getdesign.md | — | Not stated | Web |
| 2 | IUMB | — | Not stated | Web |
| 3 | Wolfram LLM Benchmarking Project | — | Not stated | Web |
| 4 | PoweredByAI | — | Not stated | Web |
| 5 | AI for Developers | — | Not stated | Web |
| 6 | LocalModelsLinks | — | Not stated | Web |
| 7 | LLM Resources Hub | — | Not stated | Web |
| 8 | GPT-3 Demo | — | Not stated | Web |
| 9 | LLM Model VRAM Calculator | — | Not stated | Web |
| 10 | Screenpipe | — | Not stated | — |
getdesign.md collects design system analyses that can serve as references for AI coding agents.
IUMB benchmarks language models on undergraduate-level mathematics problems.
The Wolfram LLM Benchmarking Project tracks model performance on a code-generation task written in Wolfram Language.
PoweredByAI catalogs AI tools across categories such as writing, coding, image generation, video, and automation.
This site curates AI coding tools, agents, skills, and SDKs for developers.
LocalModelsLinks collects guides and references for running and tuning language models locally.
The LLM Resource Hub collects language model tools, resources, and learning materials.
800+ ChatGPT and GPT-3 Examples, Demos, Apps, Showcase, and Generative AI Use-cases.
Estimate language model memory requirements by selecting a Hugging Face model, GPU, context length, and quantization.
Screenpipe records screen activity locally and provides context to AI agents.
This repository collects prompts, system prompts, and instructions for large language models.
This repository teaches 22 prompt engineering techniques through Jupyter Notebook tutorials.
A curated list of large language model resources maintained in the Awesome-LLM repository.
This repository curates frameworks, libraries, and software for large language models.
This repository curates platforms, tools, practices, and resources for running language models locally.
This repository curates tools and projects built with the LangChain framework.
llm-prices provides language model pricing data and makes it available through a JSON API.
This repository curates resources for applied AI engineering, including tools and other materials for practitioners.
Open VLM Leaderboard displays model and dataset rankings in an interactive table with filters for evaluation dimensions and model properties.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative