LLMs are getting smarter, and quantization algorithms are training them on smaller and smaller resources. The architecture and pipelines for building new multimodal LLMs and an ensemble of collaborative LLMs are becoming increasingly complex. Tree of Thoughts is an example of such custom architecture, which shows significant potential to improve LLM accuracy significantly.
Building data infrastructure of a customizable LLM architecture is still an open yet significant problem. In this webinar, we will discuss how to build such data architectures at scale.
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13 сен 2024
