AWS Machine Learning Blog

NOVEMBER 22, 2023

With eight Qualcomm AI 100 Standard accelerators and 128 GiB of total accelerator memory, customers can also use DL2q instances to run popular generative AI applications, such as content generation, text summarization, and virtual assistants, as well as classic AI applications for natural language processing and computer vision.

BERT 134

BERT Deep Learning Python Auto-classification 134

Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. Techniques like Word2Vec and BERT create embedding models which can be reused. Google's MUM model uses VATT transformer to produce entity-aware BERT embeddings.

Large Language Models 100

Large Language Models Prompt Engineer Prompt Engineering LLM 100

deepsense.ai

NOVEMBER 14, 2023

Within Natural Language Processing (NLP), ‘pseudo-evaluation’ approaches that we call ‘Superficial Utility Comparison Kriterion’ ( SUCK ) methods, like BLEU [32], METEOR [33], ROUGE [34], or BLEURT [35], attempt to salvage the situation. References A survey of Generative AI Applications , Gozalo-Brizuela R., Hertzmann A.,

Generative AI 111

Generative AI Prompt Engineer Prompt Engineering ML 111