AI · alternatives · 2026
24 alternatives to DecisionBox Fine-Tuning
A model trained on your data that runs on your infra
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Fine-Tuner.ai▲218The ultimate no-code solution for building AI agents
2023 · fine-tuner.ai · its alternatives →
- 2
Hey HN! We’re building FinetuneDB (https://finetunedb.com/), an LLM fine-tuning platform. It enables teams to easily create and manage high-quality datasets, and streamlines the entire workflow from fine-tuning to serving and evaluating models with domain experts. You can check out our docs here: (https://docs.finetunedb.com/) FinetuneDB exists because creating and managing high-quality datasets is a real bottleneck when fine-tuning LLMs. The quality of your data directly impacts the performance of your fine-tuned models, and existing tools didn’t offer an easy…
2024 · finetunedb.com · its alternatives →
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FinetuneDB▲52AI fine-tuning platform to create custom LLMs
2024 · finetunedb.com · its alternatives →
- 4
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU. - MakazhanAlpamys/Soup
Aug 2026 · github.com · its alternatives →
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LLM reinforcement fine-tuning platform to improve LLM output
2025 · rubrik.com · its alternatives →
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prompteasy.ai▲196Create datasets to fine-tune gpt in under 5min
2024 · prompteasy.ai · its alternatives →
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100% bootstrapped new startup. It lets you fine tune Mistral-7B and SDXL. In particular, for the LLM fine tuning we implemented a dataprep pipeline that turns websites/pdfs/doc files into question-answer pairs for training the small LLM using an big LLM. It includes a GPU scheduler that can do finegrained GPU memory scheduling (Kubernetes can only do whole-GPU, we do it per-GB of GPU memory to pack both inference and fine tuning jobs into the same fleet) to fit model instances into GPU memory to optimally trade off user facing latency with GPU memory utilization It's a pretty…
2023 · docs.helix.ml · its alternatives →
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Tune Flow▲11Fine-tune any AI model without expertise.
2025 · ai-tune-magic.lovable.app · its alternatives →
- 11
AI workflows for streamlined software development lifecycle
2024 · fine.dev · its alternatives →
- 12
I've been playing around with https://github.com/zphang/minimal-llama/ and https://github.com/tloen/alpaca-lora/blob/main/finetune.py, and wanted to create a simple UI where you can just paste text, tweak the parameters, and finetune the model quickly using a modern GPU. To prepare the data, simply separate your text with two blank lines. There's an inference tab, so you can test how the tuned model behaves. This is my first foray into the world of LLM finetuning, Python, Torch, Transformers, LoRA, PEFT, and Gradio. Enjoy!
2023 · github.com · its alternatives →
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Fine-tuning, RL, and inference in one CLI
Dec 2025 · github.com · its alternatives →
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Inkling▲181Open weights 975B multimodal model built for fine-tuning
Jul 2026 · thinkingmachines.ai · its alternatives →
- 16
Fine-tune LLM agents with online reinforcement learning - KhoomeiK/LlamaGym
2024 · github.com · its alternatives →
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Hi HN community, I have been working on benchmarking publicly available LLMs these past couple of weeks. More precisely, I am interested on the finetuning piece since a lot of businesses are starting to entertain the idea of self-hosting LLMs trained on their proprietary data rather than relying on third party APIs. To this point, I am tracking the following 4 pillars of evaluation that businesses are typically look into: - Performance - Time to train an LLM - Cost to train an LLM - Inference (throughput / latency / cost per token) For each LLM, my aim is to benchmark them for…
2023 · github.com · its alternatives →
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Guided AI fine-tuning — clear, safe, and done right.
2025 · ai-finetuning-advisor-g3r5.vercel.app · its alternatives →
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FineTuner▲164NEW88 là nền tảng giải trí trực tuyến uy tín hàng đầu Châu Á với đa dạng sản phẩm, ưu đãi khủng và trải nghiệm an toàn bảo mật trên mọi thiết bị.
2025 · nowhiteboards.io · its alternatives →
- 20
Hello HN, We built Promptrepo to make finetuning accessible to product teams — not just ML engineers. Last week, OpenAI’s CPO shared how they use fine-tuning for everything from customer support to deep research, and called it the future for serious AI teams. Yet most teams I know still rely on prompting, because fine-tuning is too technical, while the people who have the training data (product managers and domain experts) are often non-technical. With Promptrepo, they can now: - Add training examples in Google Sheets - Click a button to train - Deploy and test instantly - Use OpenAI,…
2025 · promptrepo.com · its alternatives →
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Netmind Power▲272Hi HN, We just opened public access to Qwen3‑Coder‑480B‑A35B‑Instruct via a REST/SDK API. Why it might be interesting: - Fully open-source (Apache‑2.0): https://github.com/QwenLM/Qwen3-Coder - 480B params (35B active MoE), long context up to 1M tokens with YaRN - Matches Claude Sonnet/GPT‑4o on SWE-Bench Verified (81.6%) - Free tier: 100K tokens/month
2023 · netmind.ai · its alternatives →
- 23
Open source data labelling platform for AI model tuning
2023 · labelstud.io · its alternatives →
- 24
Transform generic AI models into specialized solutions
2025 · tokenfactory.nebius.com · its alternatives →
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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 →