Snorkel AI

APRIL 18, 2023

At the high-level, the national critical functions are defined by the government, and are categorized as connect, distribute, manage, and supply. So here what we can state is, take the embedding of a document and the embedding of the definition and see how close they are. You group the critical infrastructures into various classes.

NLP 52

NLP Computer Scientist BERT Categorization 52

Snorkel AI

APRIL 18, 2023

At the high-level, the national critical functions are defined by the government, and are categorized as connect, distribute, manage, and supply. So here what we can state is, take the embedding of a document and the embedding of the definition and see how close they are. You group the critical infrastructures into various classes.

NLP 52

NLP Computer Scientist BERT Categorization 52

Probably Approximately a Scientific Blog

JANUARY 12, 2021

The boundaries of commonsense are quite challenging to define, but we will go with this working definition: Commonsense is the basic level of practical knowledge and reasoning concerning everyday situations and events that are commonly shared among most people. Static integration Dynamic integration Summary What is commonsense?

Natural Language Processing 52

Natural Language Processing BERT NLP Neural Network 52

Dlabs.ai

NOVEMBER 2, 2023

BERT), GPT is a generative model. Embedding Vectors: these are numerical representations that allow abstract, or categorical data, such as words, tokens, images or other elements, to be transformed into numbers that can be processed by machine learning models. But why settle on GPT? Step 5: LLM customization 5.1.

ChatGPT 52

ChatGPT LLM Artificial Intelligence Artificial Intelligence 52

Explosion

MAY 17, 2023

We want to aggregate it, link it, filter it, categorize it, generate it and correct it. That’s definitely new. Recognizing sentence boundaries in English isn’t entirely trivial (you don’t want to just use regular expressions), but it’s definitely not something you need an LLM to do. The results in Section 3.7,

LLM 135

LLM NLP Large Language Models OpenAI 135

AWS Machine Learning Blog

SEPTEMBER 11, 2024

Parallel computing Parallel computing refers to carrying out multiple processes simultaneously, and can be categorized according to the granularity at which parallelism is supported by the hardware. Review of the technology In this section, we review different components of the technology.

ML 96

ML Deep Learning Algorithm Large Language Models 96

Explosion

MARCH 17, 2019

Clearly, we couldn’t use a model such as BERT or GPT-2 directly. Inspired by names such as ELMo and BERT, we’ve termed this trick Language Modelling with Approximate Outputs (LMAO). It helps most for text categorization and parsing, but is less effective for named entity recognition. Even more recently, Li et al.

NLP 52

NLP Python Neural Network Natural Language Processing 52

deepsense.ai

NOVEMBER 14, 2023

Inadequacy of the ‘ground truth’ concept in GenAI Firstly, almost by definition, generative tasks often include a practically infinite variety of ‘optimal’ solutions , making any metrics which rely on direct comparisons with GT questionable. On one hand, the definition of sample proximity may be non-trivial and domain-specific.

Generative AI 111

Generative AI Prompt Engineer Prompt Engineering ML 111