Large language models Articles

Page 5 of 5 (84 articles)

3/7/2022 • EN

Applying massive language models in the real world with Cohere

An engineer shares insights and tutorials on applying Cohere's large language models for real-world tasks like prompt engineering and semantic search.

api large language models prompt engineering Text Summarization Transformers

Jay Alammar

3/3/2022 • EN

Implicit Bayesian Inference in Large Language Models

Explores how Large Language Models perform implicit Bayesian inference through in-context learning, connecting exchangeable sequence models to prompt-based learning.

Bayesian Inference Deep Learning Exchangeability In Context Learning large language models

Ferenc Huszár

1/3/2022 • EN

The Illustrated Retrieval Transformer

Explains how retrieval-augmented language models like RETRO achieve GPT-3 performance with far fewer parameters by querying external knowledge.

Deepmind large language models Retrieval Augmented Generation Retro Transformer Architecture

Jay Alammar

9/24/2021 • EN

How to Train Really Large Models on Many GPUs?

Explores parallelism techniques and memory optimization strategies for training massive neural networks across multiple GPUs.

Distributed Training Gpu Memory large language models Model Parallelism Neural Networks

Lilian Weng

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Large language models Articles

Applying massive language models in the real world with Cohere

Implicit Bayesian Inference in Large Language Models

The Illustrated Retrieval Transformer

How to Train Really Large Models on Many GPUs?

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