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AI Inference: Good, Fast, and Cheap, with Lin Qiao & Dmytro Ivchenko of Fireworks AI
"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis
Specific Problems and Fine Tuning in AI Development
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Developers and enterprises solve specific, narrowly defined problems, creating an opportunity for smaller open source models and fine tuning to excel. Fine tuning enables aligning models to solve specific problems well, compared to trying to solve a broad range of problems. The process involves training models on a set of objectives and depends on the quality of training data. Smaller models are efficient and successful in solving well-defined problems through fine tuning. Enterprises can leverage their data effectively to align models, sometimes outperforming larger models. The focus is on optimizing the feedback loop between fine tuning, inference, and data collection, with an aim to automate and streamline the process.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode