DeepSeek series: tools, characteristics, and functionalities

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2025-06-24

Machine learning Deep learning Foundation model

FM foundation model large model large language model prompt generative AI DeepSeek

GPT series: tools, characteristics, and functionalities

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2025-06-14

Machine learning Deep learning Foundation model

FM foundation model large model large language model prompt generative AI GPT ChatGPT

The development of large language models:tools characteristics, and functionalities

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2025-06-13

Machine learning Deep learning Foundation model

FM foundation model large model large language model prompt generative AI

How to analyse multi-omics data?

Utilise various omics datasets, such as genomics, transcriptomics, proteomics, and metabolomics, to explore the characteristics of biological systems. Multi-omics data involves integrating and analysi

2025-06-11

Biology Machine learning Deep learning

genomics protein metabolism microbiomics multi-omics

Generative AI and its building blocks

Generative artificial intelligence is experiencing another boom with the emergence of large language models, which play an important role in generating content for chatbots.

2025-06-10

Machine learning Deep learning Foundation model

FM foundation model large model generative AI

What is a large language model, and how does it work?

Large language models (LLMs) represent a specialized category of foundation models designed to execute a wide range of natural language processing (NLP) tasks. These models are more advanced and power

2025-06-10

Machine learning Deep learning Foundation model

FM foundation model large model large language model prompt generative AI

What is a foundation model?

A foundation model is a type of artificial intelligence (AI) model that is trained on extensive and varied datasets. It is designed to handle a broad spectrum of general tasks. Serving as a base, thes

2025-06-10

Machine learning Deep learning Foundation model

FM foundation model large model large language model prompt generative AI

Image size vs. image quality vs. image resolution

Image size, quality, and resolution are indicator to describe image properties.

2025-03-17

Machine learning Deep learning

quality resolution size

How to implement multi-GPU training with data parallel?

Distributed main function design, data loader design, move model into distributed environment, calculating metrics by gathering results from different GPUs through redution.

2025-03-17

Machine learning Deep learning

DDP parallel multiple gpus

FLOPs and MACs in deep learning

FLOPs and MAcs are used for measuring the computer performance.

2023-06-26

Machine learning Deep learning

FLOPs MACs