SCIN: A new resource for representative dermatology images

Favorite Posted by Pooja Rao, Research Scientist, Google Research Health datasets play a crucial role in research and medical education, but it can be challenging to create a dataset that represents the real world. For example, dermatology conditions are diverse in their appearance and severity and manifest differently across skin

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Shared by Google AI Technology March 19, 2024

Fine-tune Code Llama on Amazon SageMaker JumpStart

Favorite Today, we are excited to announce the capability to fine-tune Code Llama models by Meta using Amazon SageMaker JumpStart. The Code Llama family of large language models (LLMs) is a collection of pre-trained and fine-tuned code generation models ranging in scale from 7 billion to 70 billion parameters. Fine-tuned

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Shared by AWS Machine Learning March 18, 2024

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

Favorite NVIDIA NIM microservices now integrate with Amazon SageMaker, allowing you to deploy industry-leading large language models (LLMs) and optimize model performance and cost. You can deploy state-of-the-art LLMs in minutes instead of days using technologies such as NVIDIA TensorRT, NVIDIA TensorRT-LLM, and NVIDIA Triton Inference Server on NVIDIA accelerated

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Shared by AWS Machine Learning March 18, 2024

Open Source AI Definition – Weekly update Mar 18

Favorite Comments on draft 0.0.6 from the forum Point raised by participant that training data has been listed both as optional and a precondition. This might cause confusion as it is unclear whether we should have the right to access training data or know what training data was used for

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Shared by voicesofopensource March 18, 2024

Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI

Favorite In today’s landscape of one-on-one customer interactions for placing orders, the prevailing practice continues to rely on human attendants, even in settings like drive-thru coffee shops and fast-food establishments. This traditional approach poses several challenges: it heavily depends on manual processes, struggles to efficiently scale with increasing customer demands,

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Shared by AWS Machine Learning March 15, 2024