Auto-classification Deep Learning Prompt Engineering 
AWS Machine Learning Blog
OCTOBER 6, 2023
CLIP model CLIP is a multi-modal vision and language model, which can be used for image-text similarity and for zero-shot image classification. This is where the power of auto-tagging and attribute generation comes into its own. Moreover, auto-generated tags or attributes can substantially improve product recommendation algorithms.
The MLOps Blog
JUNE 27, 2023
W&B (Weights & Biases) W&B is a machine learning platform for your data science teams to track experiments, version and iterate on datasets, evaluate model performance, reproduce models, visualize results, spot regressions, and share findings with colleagues. It is part of the Encord suite of products alongside Encord Active.
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Heartbeat
JULY 17, 2023
Make sure that you import Comet library before PyTorch to benefit from auto logging features Choosing Models for Classification When it comes to choosing a computer vision model for a classification task, there are several factors to consider, such as accuracy, speed, and model size. Pre-trained models, such as VGG, ResNet.
AWS Machine Learning Blog
MARCH 1, 2023
Fine-tuning from pre-trained models using DreamBooth Fine-tuning is a process in deep learning where a pre-trained model is further trained on a new task using a small amount of labelled data. There are several ways to enhance fine tuning through effective prompt engineering and here are a few examples.
The MLOps Blog
MARCH 12, 2024
Tools range from data platforms to vector databases, embedding providers, fine-tuning platforms, prompt engineering, evaluation tools, orchestration frameworks, observability platforms, and LLM API gateways. Model adaptation If employed, it typically focuses on transfer learning and retraining. using techniques like RLHF.)
Mlearning.ai
JULY 3, 2023
I was extremely surprised and pleased by the capabilities of these image generative AI models, and also very thankful that life decided to turn me to deep learning instead! Denoising Process Summary Text from a prompt is tokenized and encoded numerically. Scheduler — essentially ODE integration techniques.
AWS Machine Learning Blog
NOVEMBER 1, 2023
The system is further refined with DistilBERT , optimizing our dialogue-guided multi-class classification process. Utilizing the latest Hugging Face LLM modules on Amazon SageMaker, AWS customers can now tap into the power of SageMaker deep learning containers (DLCs).
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