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Building the Foundation Model Ops Platform — with Raza Habib of Humanloop
Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0
The Conviction of Deep Learning and Scale
The key to not missing out on chat GPT is to believe in the power of deep learning and scale. By projecting the current improvements in deep learning forward, we can expect models to become even more capable in the future. Building for that world may be challenging, but it's important to plan ahead. In the coming years, the cost of models like GPT-4 is likely to significantly decrease, making them accessible to startups and medium-sized companies. Inference costs, which make up the majority of the expense, are expected to become much cheaper. This prediction is supported by advancements in hardware efficiency and Python compilation for faster inference. With these developments, we can anticipate a transformation in the capabilities and accessibility of AI models.
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