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An Introduction To Deep Learning For Sequential Data

Highlighting the similarities between time series and NLP Continue reading on Towards Data Science »

Modern Semantic Search for Images

A how-to article leveraging Python, Pinecone, Hugging Face, and the Open AI CLIP model to create a semantic search application for your cloud photos. Image by the author You want to find “that one picture” from several years ago. You remember a

How Self-RAG Could Revolutionize Industrial LLMs

Let’s face it — vanilla RAG is pretty dumb. There’s no guarantee responses returned are relevant. Learn how Self-RAG can significantly help Continue reading on Towards Data Science »

The Best Digital Content Strategy (According to Alex Hormozi and Ed Mylett)

In this article, you’ll learn powerful insights from the most successful content creators in the business. You’ll learn when to post, how often to post it, and how to create so much content your competitors will wonder how you manage

Domain Adaptation of A Large Language Model

Adapt a pre-trained model to a new domain using HuggingFace Continue reading on Towards Data Science »

Towards Understanding the Mixtures of Experts Model

New research reveals what happens under the hood when we train MoE models Continue reading on Towards Data Science »

My Second Week of the #30DayMapChallange

My personal take on the second week of the #30DayMapChallange, a daily social challenge aimed at designing thematic maps every day in… Continue reading on Towards Data Science »

Embeddings + Knowledge Graphs: The Ultimate Tools for RAG Systems

The advent of large language models (LLMs) , trained on vast amounts of text data, has been one of the most significant breakthroughs in… Continue reading on Towards Data Science »

TSMixer: The Latest Forecasting Model by Google

Explore the architecture of TSMixer and implement it in Python for a long-horizon multivariate forecasting task Continue reading on Towards Data Science »

Retrieval-Augmented Generation (RAG): From Theory to LangChain Implementation

From the theory of the original academic paper to its Python implementation with OpenAI, Weaviate, and LangChain Retrieval-Augmented Generation Workflow Since the realization that you can supercharge large language models (LLMs) with your proprietary data, there has been some discussion