Dataconomy

JULY 18, 2023

GPT-4 API is now generally available This titan, trained on a colossal 1+ trillion parameters, boasts a maximum context length of 32,768 tokens. Despite this, for basic coding queries, translation, comprehension of scientific concepts, and creative endeavors, GPT-3.5 ChatGPT down : What to do if ChatGPT is not working However, GPT-3.5

Natural Language Processing 91

Natural Language Processing AI AI Artificial Intelligence 91

Mlearning.ai

JUNE 8, 2023

Vector Embeddings for Developers: The Basics | Pinecone Used geometry concept to explain what is vector, and how raw data is transformed to embedding using embedding model. After the sentences were inputted to BERT, the most common way to generate a sentence embedding was by averaging all the word-level embeddings or taking the [CLS] token.

Machine Learning 52

Machine Learning Machine Learning Clustering Database 52

Dataconomy

APRIL 4, 2023

For example, an AI model that predicts house prices might use a linear function that takes into account factors such as size, location, and more. Moreover, early kinds of predictive analytics were powered by basic decision trees. For a FLOP budget, previous work over-allocated parameters at the expense of training tokens.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Dataconomy

APRIL 4, 2023

For example, an AI model that predicts house prices might use a linear function that takes into account factors such as size, location, and more. Moreover, early kinds of predictive analytics were powered by basic decision trees. For a FLOP budget, previous work over-allocated parameters at the expense of training tokens.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Snorkel AI

APRIL 13, 2023

Foundation models are models that have been trained on diverse, massive amounts of data—for instance, hundreds of billions of tokens from the internet. Recent foundation models are amazing and they have gained a lot of attention in research and industry. Finally, I’ll dive into the Ask Me Anything method.

Data Wrangling 52

Data Wrangling Machine Learning Machine Learning ML 52

Snorkel AI

APRIL 13, 2023

Foundation models are models that have been trained on diverse, massive amounts of data—for instance, hundreds of billions of tokens from the internet. Recent foundation models are amazing and they have gained a lot of attention in research and industry. Finally, I’ll dive into the Ask Me Anything method.

Data Wrangling 52

Data Wrangling Machine Learning Machine Learning ML 52

Explosion

JUNE 18, 2021

A restaurant kitchen is basically a little factory. In applied NLP, it’s important to pay attention to the difference between utility and accuracy. Research is basically about building a commons of knowledge, and the idea is that this commons overall should be useful. But there’s more to a restaurant than just the cooking.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Clustering 52

Dataconomy

MAY 23, 2023

Non-fungible tokens (NFTs) have been  making waves since 2014 , especially in the last two years. I spent some time discussing non-fungible tokens’ past, present, and future and the underlying technologies that power them. In the case of NFTs, those costs include the complexity and technical knowledge needed to acquire them.

AI 178

AI AI 178

phData

AUGUST 15, 2023

Before delving into the exam specifics and studying the guide, familiarize yourself with dbt Cloud, understanding its user interface and basic settings. Price: $200 Language: Only English at this time Certification Expiration: The certification expires two years after the date awarded.

Data Warehouse 52

Data Warehouse Analytics Analytics SQL 52