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Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets

AWS Machine Learning Blog

Financial organizations generate, collect, and use this data to gain insights into financial operations, make better decisions, and improve performance. Multi-modal agents are AI systems that can understand and analyze data in multiple modalities using the right tools in their toolkit.

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Best prompting practices for using the Llama 2 Chat LLM through Amazon SageMaker JumpStart

AWS Machine Learning Blog

This combination prioritizes alignment with human-centric norms, striking a balance between efficiency and safety. To make it even more accessible, you can deploy Llama-2-Chat models with ease through Amazon SageMaker JumpStart. Its model parameters scale from an impressive 7 billion to a remarkable 70 billion.

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Reducing the cost of LLMs with quantization and efficient fine-tuning: how can businesses benefit from Generative AI with limited hardware?

deepsense.ai

More than a year has passed since the release of ChatGPT, which led hundreds of millions of people to not only talk about AI, but actively use it on a daily basis. The two main topics we will dive into are quantized inference and parameter-efficient fine-tuning.