Towards AI

JULY 23, 2023

In the first part of the series, we talked about how Transformer ended the sequence-to-sequence modeling era of Natural Language Processing and understanding. Generating Wikipedia By Summarizing Long Sequences This work was published by Peter J Liu at Google in 2019.

NLP 98

NLP Natural Language Processing Auto-classification Computer Vision 98

Mlearning.ai

FEBRUARY 19, 2023

You don’t need to have a PhD to understand the billion parameter language model GPT is a general-purpose natural language processing model that revolutionized the landscape of AI. GPT-3 is a autoregressive language model created by OpenAI, released in 2020 . What is GPT-3?

Auto-classification 52

Auto-classification Auto-complete Natural Language Processing NLP 52

AWS Machine Learning Blog

MARCH 28, 2024

You can deploy this solution with just a few clicks using Amazon SageMaker JumpStart , a fully managed platform that offers state-of-the-art foundation models for various use cases such as content writing, code generation, question answering, copywriting, summarization, classification, and information retrieval.

LLM 138

LLM Auto-complete Auto-classification Generative AI 138

AWS Machine Learning Blog

APRIL 19, 2023

Then we needed to Dockerize the application, write a deployment YAML file, deploy the gRPC server to our Kubernetes cluster, and make sure it’s reliable and auto scalable. It has intuitive helpers and utilities for modalities like computer vision, natural language processing, audio, time series, and tabular data.

ML 95

ML Deep Learning Python Auto-classification 95

Mlearning.ai

JUNE 28, 2023

I came up with an idea of a Natural Language Processing (NLP) AI program that can generate exam questions and choices about Named Entity Recognition (who, what, where, when, why). This is the link [8] to the article about this Zero-Shot Classification NLP. See the attachment below. The approach was proposed by Yin et al.

Machine Learning 52

Machine Learning NLP Auto-classification Natural Language Processing 52

Topbots

JUNE 29, 2023

It not only requires SQL mastery on the part of the annotator, but also more time per example than more general linguistic tasks such as sentiment analysis and text classification. 4] In the open-source camp, initial attempts at solving the Text2SQL puzzle were focussed on auto-encoding models such as BERT, which excel at NLU tasks.[5,

Auto-complete 52

Auto-complete Algorithm Data Scientist Auto-classification 52