Marktechpost

JANUARY 26, 2024

DITTO optimizes initial noise latents at inference time to produce specific, stylized outputs and employs gradient checkpointing for memory efficiency. Researchers focused on enhancing DITTO’s capabilities using a rich dataset comprising 1800 hours of licensed instrumental music with genre, mood, and tempo tags for training.

AI 130

AI AI ML Artificial Intelligence 130

AWS Machine Learning Blog

MARCH 6, 2024

Method 3: Gradient checkpointing Gradient checkpointing is a technique that reduces the memory needed during training while keeping the computational time reasonable. Gradient checkpointing provides a balanced approach. It saves only some of the intermediate values, called checkpoints , and recalculates the others as needed.

Neural Network 87

Neural Network Large Language Models Machine Learning ML 87

AWS Machine Learning Blog

NOVEMBER 30, 2023

Creating a resilient environment that can handle failures and environmental changes without losing days or weeks of model training progress is an operational challenge that requires you to implement cluster scaling, proactive health monitoring, job checkpointing, and capabilities to automatically resume training should failures or issues arise.

Auto-complete 106

Auto-complete Machine Learning Generative AI Software Engineer 106

LevelAI

FEBRUARY 23, 2024

This user-defined customization allows “scenarios” to be tagged based on phrases chosen by the users themselves, rather than relying on potentially biased algorithmic decisions. Human-in-the-loop evaluation: Our human reviewers scrutinize our models for fairness and non-discrimination, serving as a critical checkpoint.

Responsible AI 52

Responsible AI AI AI Artificial Intelligence 52

PyImageSearch

SEPTEMBER 18, 2023

image and tags on the web), which allows us to train this model with low annotation cost. Furthermore, you will need to download the pre-trained checkpoints for these models. Specifically, we discussed the checkpoints and images folder, which stores the pre-trained checkpoints and images we will use for the tutorial.

Computer Vision 67

Computer Vision Deep Learning AI AI 67

Flipboard

FEBRUARY 16, 2023

The model checkpoint and output log per each compute node are also captured in this directory. This directory is accessible to all compute nodes. results.json captures the metadata of this particular job run, such as the model’s configuration, batch size, total steps, gradient accumulation steps, and training dataset name.

Large Language Models 106

Large Language Models LLM BERT Deep Learning 106

AWS Machine Learning Blog

NOVEMBER 1, 2023

f Dockerfile -t ${container_name} docker tag ${container_name} ${full_name} docker push ${full_name} LLM inference with TGI The VLP solution in this post employs the LLM in tandem with LangChain, harnessing the chain-of-thought (CoT) approach for more accurate intent classification. This model achieves a 91.3% models/sam_vit_h_4b8939.pth'

Auto-classification 87

Auto-classification LLM Auto-complete Generative AI 87