Beating GPT-5.6 Sol on retrieval with 100x cheaper open models
Article URL: https://neon.com/blog/how-castform-neon-beats-frontier-models-on-price-and-efficiency Comments URL: https://news.ycombinator.com/item?id=49186762 Points: 280 # Comments: 71
Postgres and Lakebase Search provider Neon has developed a solution to train open-source models that rival the accuracy of GPT-5.6 Sol at a fraction of the cost. The company's Castform platform enables developers to retrain these models using their existing proprietary data, eliminating the need for expensive and time-consuming machine learning and GPU resources.
By leveraging RL (reinforcement learning) post-training, Castform allows businesses to create more cost-effective and efficient AI agents for various tasks, such as searching through large datasets or modifying data. Neon's dynamic compute scaling and Neon branching capabilities further enhance the training process, ensuring optimal performance even during high-demand periods.
Castform's user-friendly approach to post-training makes it accessible for developers of all skill levels, enabling them to train open-source models that outperform the frontier in terms of speed, cost, and accuracy.
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