O'Reilly Media

NOVEMBER 19, 2024

Store these chunks in a vector database, indexed by their embedding vectors. The various flavors of RAG borrow from recommender systems practices, such as the use of vector databases and embeddings. Here’s a simple rough sketch of RAG: Start with a collection of documents about a domain. Split each document into chunks.

Database 78

Database AI AI Natural Language Processing 78

Smart Data Collective

JUNE 10, 2022

The interdisciplinary field of data science involves using processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data and then applying the knowledge gained from that data across a wide range of applications. The average data scientist earns over $108,000 a year.

Data Science 119

Data Science Data Scientist Machine Learning Machine Learning 119

Pickl AI

DECEMBER 4, 2023

Through advanced analytics and Machine Learning algorithms, they identify patterns such as popular products, peak shopping times, and customer preferences. Through statistical methods and advanced algorithms, we unravel patterns, trends, and valuable nuggets that guide decision-making. So, what is Data Intelligence with an example?

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

IBM Journey to AI blog

JULY 18, 2024

The algorithms that empower AI and ML require large volumes of training data, in addition to strong and steady amounts of processing power. Database management is an area empowered by distributed computing, as are distributed databases, which perform faster by having tasks broken down into smaller actions.

Cloud Computing 59

Cloud Computing Database Internet of Things ML 59

The MLOps Blog

MARCH 12, 2024

Tools range from data platforms to vector databases, embedding providers, fine-tuning platforms, prompt engineering, evaluation tools, orchestration frameworks, observability platforms, and LLM API gateways. Models are part of chains and agents, supported by specialized tools like vector databases.

Database 52

Database Machine Learning Machine Learning AI 52

The MLOps Blog

APRIL 17, 2023

Such metadata include: Algorithms used. Of course, a relational database would be valuable here. Blob and file storage Some attributes don’t easily fit into a database field, and you’d need a data model to handle this. If you go more low-level, a few database hacks and tricks will be enough to work your way around this.

Data Scientist 52

Data Scientist ML ML Machine Learning 52

AWS Machine Learning Blog

MAY 23, 2023

SageMaker covers the entire MLOps workflow, from collecting to preparing and training the data with built-in high-performance algorithms and sophisticated automated ML (AutoML) experiments so that companies can choose specific models that fit their business priorities and preferences.

Machine Learning 91

Machine Learning Machine Learning AWS ML 91