Step 1: Install the Clarifai Python SDK, Llama-index, and set your Clarifai Personal Access Token as an environment variable. Sign up for the platform, and you can access the PAT here: https://
clarifai.com/settings/secur
ity
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@sumanth_077
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Install Clarifai SDK, Llama-index, and Configure Personal Access Token
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Build RAG LLM App Chat PDF Files Gemini Flash Python
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Build a LLM app with RAG to chat with PDF files using Gemini Flash in just 4 lines of Python code (step-by-step instructions):
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Daily Content Sharing on Python Data Science and Machine Learning
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That's a wrap! If you are interested in any of these below topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.
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_predict_single Method for K-Nearest Neighbours Classification
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Finally a '_predict_single' method as mentioned it predicts the class label for a single data point This is done by: 1. Calculating the distance between one point to all training examples 2. Selecting the k-nearest Neighbours, & returning the most common class label among them
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Predict Method for Class Labels Using Single Point Prediction
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A 'predict' method that predicts the class labels for a set of data points. It calls '_predict_single' method that actually predicts the class label for a single data point.
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KNN fit Method and Euclidean Distance Calculation
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Next define the "fit" method that takes the training data(X) and it's corresponding labels(y) and stores them. This is the reason why the computation cost is high as it stores all the training data! And also a method to calculates the euclidean distance between two data points.
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KNNClassifier Class Initialization: Choosing the Optimal k Value
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Define the KNNClassifier class and initialize the number of Neighbours (k) to be considered in __init__ method Defining the K value is critical in KNN! A small value of k means noise will have a higher influence on the result and a large value makes it computationally expensive
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K Nearest Neighbors KNN Implementation Python Step by Step
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K Nearest Neighbors (KNN) implemented from scratch in Python (step-by-step explanation with code):
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Llama 3 Implementation from Scratch on GitHub Repository
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Github repo: http://
github.com/naklecha/llama
3-from-scratch
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Llama 3 Implementation from Scratch with Step-by-Step Visual Guide
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Llama 3 implemented from Scratch. Here is the step-by-step explaination with visuals: