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Optimize price-performance of LLM inference on NVIDIA GPUs using the Amazon SageMaker integration with NVIDIA NIM Microservices

AWS Machine Learning Blog

NVIDIA NIM m icroservices now integrate with Amazon SageMaker , allowing you to deploy industry-leading large language models (LLMs) and optimize model performance and cost. In this post, we provide a high-level introduction to NIM and show how you can use it with SageMaker.

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Use Amazon SageMaker Studio to build a RAG question answering solution with Llama 2, LangChain, and Pinecone for fast experimentation

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Retrieval Augmented Generation (RAG) allows you to provide a large language model (LLM) with access to data from external knowledge sources such as repositories, databases, and APIs without the need to fine-tune it. There are two models in this implementation: the embeddings model and the LLM that generates the final response.

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Simple guide to training Llama 2 with AWS Trainium on Amazon SageMaker

AWS Machine Learning Blog

Large language models (LLMs) are making a significant impact in the realm of artificial intelligence (AI). Their impressive generative abilities have led to widespread adoption across various sectors and use cases, including content generation, sentiment analysis, chatbot development, and virtual assistant technology.

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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

The wide adoption of ChatGPT and other large language models (LLMs) among individuals made companies of all sizes and across all sectors of industry wonder how they could benefit from this upward-trending technology. Fortunately, recent developments in the field have allowed companies to significantly lower these expenses.

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

AWS Machine Learning Blog

Llama 2 stands at the forefront of AI innovation, embodying an advanced auto-regressive language model developed on a sophisticated transformer foundation. Llama 2 demonstrates the potential of large language models (LLMs) through its refined abilities and precisely tuned performance.

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Deploy Falcon-40B with large model inference DLCs on Amazon SageMaker

AWS Machine Learning Blog

Last week, Technology Innovation Institute (TII) launched TII Falcon LLM , an open-source foundational large language model (LLM). In this post, we demonstrate how to deploy Falcon for applications like language understanding and automated writing assistance using large model inference deep learning containers on SageMaker.

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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

The wide adoption of ChatGPT and other large language models (LLMs) among individuals made companies of all sizes and across all sectors of industry wonder how they could benefit from this upward-trending technology. Fortunately, recent developments in the field have allowed companies to significantly lower these expenses.