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Use language embeddings for zero-shot classification and semantic search with Amazon Bedrock

AWS Machine Learning Blog

Caching is performed on Amazon CloudFront for certain topics to ease the database load. Amazon Aurora PostgreSQL-Compatible Edition and pgvector Amazon Aurora PostgreSQL-Compatible is used as the database, both for the functionality of the application itself and as a vector store using pgvector. Its hosted on AWS Lambda.

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The Ascent of ChatGPT

ODSC - Open Data Science

Trained with 570 GB of data from books and all the written text on the internet, ChatGPT is an impressive example of the training that goes into the creation of conversational AI. They are designed to understand and generate human-like language by learning from a large dataset of texts, such as books, articles, and websites.

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How To Learn Python For Data Science?

Pickl AI

Learning Resources To master Python for Data Science, accessing high-quality learning resources catering to beginners and professionals is essential. From structured online courses to insightful books and tutorials and engaging YouTube channels and podcasts, a wealth of content guides you on your journey.

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Fundamentals of Data Mining

Data Science 101

A definition from the book ‘Data Mining: Practical Machine Learning Tools and Techniques’, written by, Ian Witten and Eibe Frank describes Data mining as follows: “ Data mining is the extraction of implicit, previously unknown, and potentially useful information from data. Data Collection. Classification. Regression.

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RAG: Boost LLM performance with retrieval-augmented generation

Snorkel AI

Now imagine someone asked you the same question while you held a history book with a list of presidents and their dates served. Data scientists train embedding models on unstructured text through a process called “self-supervised learning.” Let’s go back to our history book analogy. That’s how RAG works.

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RAG: Boost LLM performance with retrieval-augmented generation

Snorkel AI

Now imagine someone asked you the same question while you held a history book with a list of presidents and their dates served. Data scientists train embedding models on unstructured text through a process called “self-supervised learning.” Let’s go back to our history book analogy. That’s how RAG works.

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ODSC’s AI Weekly Recap: Week of March 8th

ODSC - Open Data Science

Convai aims to put an end to basic ‘one-line’ NPCs with AI but says it ‘needs more high-quality writers and artists, not less’ to get it done New launch alert: FreewayAI provides a lightweight standard for managing prompt templates, database query templates, user input points, and system diagrams.