Remove products 2000-machine-learning-prompts alternatives
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Mixtral 8x22B is now available in Amazon SageMaker JumpStart

AWS Machine Learning Blog

You can try out this model with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms and models so you can quickly get started with ML. In this section, we provide example prompts. In this post, we walk through how to discover and deploy the Mixtral-8x22B model. The ml.p4d.24xlarge

LLM 94
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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning Blog

A number of techniques are typically used to improve the accuracy and performance of an LLM’s output, such as fine-tuning with parameter efficient fine-tuning (PEFT) , reinforcement learning from human feedback (RLHF) , and performing knowledge distillation. Incorporate the documents and the question into a prompt.

LLM 105
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Fine-tune Llama 2 for text generation on Amazon SageMaker JumpStart

AWS Machine Learning Blog

You can easily try out these models and use them with SageMaker JumpStart, which is a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. To learn about Int8 quantization, refer to LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale.