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      • Argenti had previously made clear that Goldman Sachs has no plans to build its own large language models from scratch and would, instead, integrate existing AI models, such as OpenAI’s GPT-3.5 and GPT-4, Google’s Gemini, and Meta’s Llama into its own platform.
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  2. Jan 25, 2024 · Global interest in this technology is considerable and growing, with private AI investment forecasted to increase to $160 billion by 2025, according to Goldman Sachs Research. As large language models evolve and become more sophisticated, Goldman Sachs Chief Information Officer Marco Argenti sees a new hybrid AI model emerge.

  3. Jul 27, 2024 · The platform utilizes GPT-3.5 and GPT-4 models from OpenAI, Google’s Gemini model, and open-source models like Meta Platforms’ Llama. This multi-model approach allows Goldman Sachs to tailor AI applications to specific use cases.

  4. Aug 8, 2024 · In this episode we speak with Goldman Sachs Chief Information Officer, Marco Argenti, about how the bank is balancing risks and opportunities in AI.

  5. Mar 21, 2023 · Goldman Sachs has also invested in AI technology to enhance its operations. The company has developed a platform called Marcus Insights, which uses large language models to analyze consumer data and provide personalized financial advice to its customers.

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  6. Jun 27, 2024 · Goldman Sachs will finish rolling out its first generative artificial intelligence tool—for code generation—to thousands of developers across the company by the end of the month.

  7. The platform also uses open source models including Meta Platforms’ Llama. The ability to switch between models for different use cases is a key benefit of the approach, Argenti said.

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