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Bigger isn’t always better: How hybrid AI pattern enables smaller language models

IBM Journey to AI blog

As large language models (LLMs) have entered the common vernacular, people have discovered how to use apps that access them. Modern AI tools can generate, create, summarize, translate, classify and even converse. Tools in the generative AI domain allow us to generate responses to prompts after learning from existing artifacts.

Hybrid AI 246
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Decoding How NVIDIA RTX AI PCs and Workstations Tap the Cloud to Supercharge Generative AI

NVIDIA

As the capabilities and use cases for generative AI continue to grow, so does the demand for compute to support it. Hybrid AI combines the onboard AI acceleration of NVIDIA RTX with scalable, cloud-based GPUs to effectively and efficiently meet the demands of AI workloads.

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A Guide to Mastering Large Language Models

Unite.AI

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries. Retrieval augments LLMs by allowing huge external context.