VentureBeat November 14, 2024
The launch of ChatGPT two years ago was nothing less than a watershed moment in AI research. It gave a new meaning to consumer-facing AI and spurred enterprises to explore how they could leverage GPT or similar models into their respective business use cases. Fast-forward to 2024: there’s a flourishing ecosystem of language models, which both nimble startups and large enterprises are leveraging in conjunction with approaches like retrieval augmented generation (RAG) for internal copilots and knowledge search systems.
The use cases have grown multifold and so has the investment in enterprise-grade gen AI initiatives. After all, the technology is expected to add $2.6 trillion to $4.4 trillion annually to the global economy. But, here’s the thing: what we...
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