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Customize DeepSeek-R1 671b model using Amazon SageMaker HyperPod recipes – Part 2

AWS Machine Learning Blog

srun -l "${ARGS[@]}" python $SOURCE_DIR/merge_peft_checkpoint.py --hf_model_name_or_path $BASE_MODEL_BF16 --peft_adapter_checkpoint_path $ADAPTER_PATH --output_model_path $MERGE_MODEL_PATH --deepseek_v3 true Evaluate the fine-tuned model Use the basic testing scripts provided by DeekSeek to deploy the merged model. py --input-fp8-hf-path./DeepSeek-R1

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🚀 Beyond Text: Building Multimodal RAG Systems with Cohere and Gemini

Towards AI

system architectures) Spatial relationships in maps or layouts A purely text-based approach fails to capture this crucial layer of information. The full working code with UI, modular structure, and search logic is available in the [GitHub repository](github.com/SridharSampath/multimodal-rag-demo).* resize((512, 512)).tobytes().hex()

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Moderate your Amazon IVS live stream using Amazon Rekognition

AWS Machine Learning Blog

The following code snippet demonstrates how to call the Amazon Rekognition DetectModerationLabel API to moderate images within an AWS Lambda function using the Python Boto3 library: import boto3 # Initialize the Amazon Rekognition client object rekognition = boto3.client('rekognition') The following diagram illustrates this architecture.

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