AI · alternatives · 2026
24 alternatives to LLM Divergent Thinking Creativity Benchmark
LLM Divergent Thinking Creativity Benchmark. LLMs generate 25 unique words that start with a given letter with no connections to each other or to 50 initial random words. - lechmazur/divergent
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. LLM Divergent Thinking Creativity Benchmark launched in 2024; newer entries below may have overtaken it.
- 1
Built 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.
Apr 2026 · github.com · its alternatives →
- 2
This benchmark tests how well LLMs incorporate a set of 10 mandatory story elements (characters, objects, core concepts, attributes, motivations, etc.) in a short creative story - lechmazur/writing
2025 · github.com · its alternatives →
- 3
Documents the style side of the short-story Creative Writing LLM benchmark: we generated many short stories with a range of LLMs, then analyzed those stories for stylistic fingerprints and within-model diversity. This study focuses on how models write, how their outputs differ, and how varied each m
2025 · github.com · its alternatives →
- 4LLM Beefer Upper▲179
Automate chain of thought with multi-agent prompt templates
2024 · its alternatives →
- 5
Recently I've been working on making LLM evaluations fast by using bayesian optimization to select a sensible subset. Bayesian optimization is used because it’s good for exploration / exploitation of expensive black box (paraphrase, LLM). I would love to hear your thoughts and suggestions on this!
2024 · github.com · its alternatives →
- 6
Unlock your knowledge with 2000 LLM prompts
2023 · miguelanticonam.gumroad.com · its alternatives →
- 7EL
Hey HN! I'd love to get some people to mess around with a little side project I built to teach myself DSPy! I've been a big fan of reading fiction + webnovels for a while now, and have always been curious about two things: how can LLMs iteratively learn to write better based on reader feedback, and which LLMs are actually best at creative writing (research benchmarks are cool, but don't necessarily translate to real-world usage). That's exactly why I built narrator.sh! The platform takes in a user input for a novel idea, then generates serialized fiction chapter-by-chapter by using DSPy to…
2025 · narrator.sh · its alternatives →
- 8
- 9
https://medium.com/@theaniketgiri/three-months-ago-i-wanted-...
Oct 2025 · github.com · its alternatives →
- 10
We developed a new framework that enables flexible control of generated text in language models. By combining several models and/or system prompts in one mathematical formula, it lets you tweak your style and combine model outputs with ease. A handy tool for those working with LLMs, looking for more fine-grained control of stylistic output. More details in our paper: https://arxiv.org/abs/2311.14479. Feedback and potential applications are welcome.
2023 · github.com · its alternatives →
- 11
Hi all! This morning, we released a new Apache 2.0 licensed model on HuggingFace for detecting hallucinations in retrieval augmented generation (RAG) systems. What we've found is that even when given a "simple" instruction like "summarize the following news article," every LLM that's available hallucinates to some extent, making up details that never existed in the source article -- and some of them quite a bit. As a RAG provider and proponents of ethical AI, we want to see LLMs get better at this. We've published an open source model, a blog more thoroughly describing our methodology (and…
2023 · vectara.com · its alternatives →
- 12
To know what models don't say out loud. Contribute to ninjahawk/Subtext development by creating an account on GitHub.
Jul 2026 · github.com · its alternatives →
- 13
Thematic Generalization Benchmark: measures how effectively various LLMs can infer a narrow or specific "theme" (category/rule) from a small set of examples and anti-examples, then detect which item truly fits that theme among a collection of misleading candidates. - lechmazur/generalization
2025 · github.com · its alternatives →
- 14
A preprint introducing ADHD, a parallel divergent ideation method for LLM coding agents. Tree-of-thought with cognitive-frame branching, generator-critic separation, and pruning.
May 2026 · adhdstack.github.io · its alternatives →
- 15
Adversarial multi-turn benchmark for LLM debate quality, using side-swapped matchups and multi-model judging to rank models by judged debate performance. - lechmazur/debate
Mar 2026 · github.com · its alternatives →
- 16
The from-scratch guide to building large language models in NodeJS.
9d ago · book.humanexperiences.io · its alternatives →
- 17
Benchmark evaluating LLMs on their ability to create and resist disinformation. Includes comprehensive testing across major models (Claude, GPT-4, Gemini, Llama, etc.) with standardized evaluation metrics. - lechmazur/deception
2024 · github.com · its alternatives →
- 18
4 Dynamic Excercises to Unleash your Creativity
2023 · bodegalaabs.gumroad.com · its alternatives →
- 19
I built a daily word association puzzle where you engage in a quiet, collaborative mind meld with AI. I'd love to have folks try it out and tell me what they think! Here's how it works: 1. Enter your first word to reveal the AI's word of the day. 2. Don't think too hard about it. It's just a starting point. 3. Both of you think of a word that connects the two. 4. To win, you need to say the same word. 5. You have 8 guesses to converge. 6. Need a hint? The AI will drop a riddle in your final two guesses. HOW DOES IT WORK? After the user_word + ai_word are submitted, I trigger two separate LLM…
2025 · convergegame.com · its alternatives →
- 20
I built a small game that tests your ability to differentiate between human written text and large language models. Each round shows two similar sentences, one is drawn from a 40‑k sentence human‑written dataset (with citations) and the other generated by an AI model. It’s a lightweight way to build some AI literacy and see how tricky it can be to tell real writing from synthetic text.
2025 · ai-or-human.com · its alternatives →
- 21
- 22KA
Knit was created to solve pains of other LLM playgrounds. Some of the highlights: - Smart prompt builder, create prompt with simple requirement and few shot learning, fast and effortlessly. - Function call simulation, visualize the function callings and you can also setup a mocked value to return. - Support OpenAI/Anthropic/Azure models. - Manage prompts with projects and members. - And so much more! I have been developing Knit by myself for over 4 months now, and am looking for ways to improve it. Any feedback is appreciated.
2023 · promptknit.com · its alternatives →
- 23PP
I've been working on applying LLMs to long-context, verifiable problems over the past year, and today I'm releasing a benchmark of 62,000 pencil puzzles across 94 types (sudoku, nonori, slitherlink, etc.). The benchmark also allows for intermediate checks /rule breaks for all varieties at any step. I tested 51 models against a subset (300 puzzles) in two modes: single-shot (output the full solution) and agentic (iterate with verifier feedback). Some results: - Best model (GPT 5.2@xhigh) solves 56%. (~ half the puzzles are unsolved by any model) - Agentic solves average 29 turns. The…
Mar 2026 · ppbench.com · its alternatives →
- 24IL
LLM Application development is extremely iterative, more so than any other types of development. This is because in addition to all the activities involved in regular application development, we also need to make the LLM Application accurate and reduce hallucination. To improve performance, we need to trial and error various combinations of LLM models, prompt templates (e.g., few-shot, chain-of-thought), prompt context with different RAG architecture, try different agent architecture, and more. There are thousands of permutations to try. We need to be able to easily experiment with these…
2024 · palico.ai · its alternatives →
Also compare
- I built a tiny LLM to demystify how language models work alternatives
- LLM Creative Story‑Writing Benchmark V3 alternatives
- Mapping LLM Style and Range in Flash Fiction alternatives
- LLM Beefer Upper alternatives
- Faster LLM evaluation with Bayesian optimization alternatives
- 2000 Large Language Models (LLM) Prompts alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →