The next major evolution will come from multi-agent systems—networks of smaller, specialized AI models that coordinate across ...
The evolution of artificial intelligence (AI) has been fascinating to witness, with the technology transitioning from simple rule-based algorithms to extremely versatile generative systems. Previously ...
Over the past year, enterprise adoption of generative AI has shifted from small experiments with large language models to ...
The large language models that have increasingly taken over the tech world are not “cheap” in many ways. The most prominent LLMs, GPT-4 for instance, took some $100 million to build in the form of ...
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How SoundHound's hybrid AI model beats pure LLM players
SoundHound AI’s SOUN competitive edge lies in its hybrid AI architecture, which blends proprietary deterministic models with ...
Large Language Models (LLMs) have evolved far beyond their initial role as next-word predictors. Recent research, particularly from Anthropic, sheds light on the sophisticated mechanisms driving these ...
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The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...
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