A Brief Tutorial Photo by Nabeel Hussain on UnsplashK-Means is a popular unsupervised algorithm for clustering tasks. Despite its popularity, it can be difficult to use in some contexts due…
Lawyers often grapple with many documents in the dynamic legal world where every second counts, and information is the key to success. The sheer volume of paperwork, from contracts and…
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Large Language Model or LLM has recently become more popular thanks to products such as ChatGPT and Google Gemini. Decades ago, people never knew what…
Almost all forms of biological perception are multimodal by design, allowing agents to integrate and synthesize data from several sources. Linking modalities, including vision, language, audio, temperature, and robot behaviors,…
How to use UMAP dimensionality reduction for Embeddings to show multiple evaluation Questions and their relationships to source documents with Ragas, OpenAI, Langchain and ChromaDB 13 min read · …
Google researchers address the challenges of achieving a comprehensive understanding of diverse video content by introducing a novel encoder model, VideoPrism. Existing models in video understanding have struggled with various…
Quick Success Data Science Learn graphical text analysis with NLTK Sherlock Holmes (by DALL-E3)The Natural Language Tool Kit (NLTK) ships with a fun feature called a dispersion plot that lets…
Unified vision-language models have emerged as a frontier, blending the visual with the verbal to create models that can interpret images and respond in human language. However, a stumbling block…
To keep things simple and costs to a minimum ETL Pipeline | Image by authorETL stands for Extract, Transform, and Load. An ETL pipeline is essentially just a data transformation…
Using scenario based stress testing to identify medium (2050) and long term (2100) sea level rise risks This project utilizes a scenario based qualitative stress testing approach to identify US…