Subscribe • Previous Issues Generative AI: Insights from the Frontlines A recent survey of large enterprises reveals a significant shift towards in-house application development, driven by the rise of foundation models offering accessible APIs. This move away from reliance on external vendors for AI-driven solutions has major implications for the industry. For instance, companies that once relied on third-party chatbots and custom recommenders can now develop these tools in-house, potentially saving costs and increasing customization. As a result, teams and investors at the forefront of GenAI and LLM innovations must adapt to this changing landscape to remain competitive.
GenAI and LLMs: Insights from TikTok and KPMG
GenAI and LLMs: Insights from TikTok and KPMG
GenAI and LLMs: Insights from TikTok and KPMG
Subscribe • Previous Issues Generative AI: Insights from the Frontlines A recent survey of large enterprises reveals a significant shift towards in-house application development, driven by the rise of foundation models offering accessible APIs. This move away from reliance on external vendors for AI-driven solutions has major implications for the industry. For instance, companies that once relied on third-party chatbots and custom recommenders can now develop these tools in-house, potentially saving costs and increasing customization. As a result, teams and investors at the forefront of GenAI and LLM innovations must adapt to this changing landscape to remain competitive.