7 coding & dev tools tools that overlap with Build a Large Language Model (From Scratch) on llm, fine tuning, ordered by how closely they match. Compare pricing, platforms, and API access, then jump into a side-by-side.
Compared against
Learn to build an LLM from the ground up with hands-on code
LLM gateway for production optimization, routing, and fine-tuning
TensorZero is an open-source LLM gateway that collects production inference data and uses it to continuously optimize prompts, route to better models, and generate fine-tuning datasets. It wraps existing LLM APIs and learns from real user feedback and outcomes to improve quality over time. Built for ML teams who want to systematically improve production AI systems.
Fine-tune LLMs up to 5x faster with 70% less VRAM usage
Unsloth is an open-source library that dramatically accelerates LLM fine-tuning by rewriting key CUDA kernels in Triton. It supports QLoRA and LoRA training for Llama, Mistral, Gemma, and other models with minimal code changes. Targeted at ML engineers and researchers who want to fine-tune large models on consumer or budget GPUs.
Train an AI model on your schema and query data in plain English
Vanna.ai is an open-source Python framework that lets you fine-tune a retrieval-augmented LLM on your own database schema and query history. It translates natural language questions into accurate SQL and can run in a notebook or Slack bot. Designed for data teams who need a customizable, private text-to-SQL solution.
Hands-on guide to building reasoning-capable AI models step by step
This Manning Publications book teaches readers how to construct reasoning-focused AI models inspired by systems like OpenAI's o1, covering chain-of-thought training, reinforcement learning from human feedback, and search-augmented inference. It provides practical code implementations alongside the theory to help readers understand how deliberative reasoning emerges in modern LLMs. The book is suited for ML engineers and researchers looking to go beyond standard instruction fine-tuning.
AI fine-tuning and dataset curation platform for custom models
Kiln is a platform for fine-tuning large language models and managing training datasets with a collaborative, visual interface. Teams can curate examples, run fine-tuning jobs, and compare model versions to improve task-specific performance. Built for ML teams and product engineers who want to customize models without deep infrastructure expertise.
Run and fine-tune leading open-source LLMs at cloud scale
Together AI is a cloud platform for deploying, fine-tuning, and serving open-source foundation models such as Llama, Mistral, and FLUX at high throughput. It offers a unified API compatible with OpenAI's interface and dedicated GPU instances. Ideal for AI teams building production applications who need cost-efficient, scalable inference.
Fine-tuned LLaMA chatbot that rivals GPT-3.5 in conversation
Vicuna-13B is an open-source chatbot built by fine-tuning LLaMA on approximately 70,000 user-shared ChatGPT conversations from ShareGPT. Developed by researchers at UC Berkeley, CMU, Stanford, and UCSD, it demonstrates 90% of ChatGPT quality on GPT-4 evaluations at a fraction of the cost. It is designed for researchers exploring open-source alternatives to proprietary chat models.
