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AWS – AWS Kinesis Data Streams
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AWS – How To Redeploy React JS Changes ?
GenAI – How To Redeploy React JS Changes ? Table Of Contents: Step By Step Process Of Redeploying React JS Changes. Step 1: Build the React App on Local Machine npm run build This generates a fresh /build folder with all updated static files. Step 2: Connect to Your EC2 / VM Use VS Code Remote SSH, or terminal: ssh ubuntu@<your-server-ip> Step 3: Remove Existing Old Files on Server sudo rm -rf /var/www/html/* Step 4: Upload New build Folder to Server sudo cp -r /home/Subrat/build/* /var/www/html/ Step 5: Confirm Upload ls -l /var/www/html/ Ensure you see files like index.html, static/,
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AWS – How To Deploy A Python API On An AWS EC2 Instance?
GenAI – How To Deploy A Python API On An AWS EC2 Instance? Table Of Contents: Introduction. Steps To Host React JS App In AWS. (1) Introduction Step-1: Connect to the EC2 Instance Step-2: Navigate To The Project Directory. Move to the directory where your Python API code is located: cd Rahul_R Step-3: Activate The Created Environment Where Your Dependencies Are Installed. Activate the Conda environment where all dependencies are installed: conda activate smart_search_env Step-4: Run the API in the Background Using ‘nohup’ Use nohup to run the API scripts in the background even after the terminal is closed. Redirect
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(04) GenAI – Characteristics Of Vector Embeddings.
GenAI – Characteristics Of Vector Embeddings Table Of Contents: What Is Vector Embedding ? Dense Representation. Fixed Dimensionality. Semantic Similarity Is Preserved. Capture Latent Features. Learned From Data. Domain Specific. Efficient For Computation. Compositionality. Continuous & Differentiable. Versatile Uses Across Domains. (1) What Is Vector Embedding ? (2) Dense Representation (3) Fixed Dimensionality (4) Semantic Similarity is Preserved (5) Captures Latent Features (6) Learned From Data (7) Domain-Specific (8) Efficient for Computation (9) Compositionality (10) Continuous and Differentiable (11) Versatile Usage Across Domains
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(05) GenAI – Types Of Vector Embeddings
GenAI – Types Of Vector Embeddings Table Of Contents: Text Embeddings. Word Embeddings. Sub-Word Embeddings. Contextual Word Embeddings. Sentence Embeddings. Document Embeddings. Image Embeddings. Audio & Speech Embeddings. Video Embedding. User & Item Embeddings. Graph Embeddings. Cross Modal Embeddings. Custom Task Specific Embeddings. (1) Text Embeddings. (1.1) Word Embeddings (1.2) Subword Embeddings (1.3) Contextual Word Embeddings (1.4) Sentence Embeddings (1.5) Document Embeddings (2) Image Embedding (3) Audio & Speech Embedding (4) Video Embedding (5) User and Item Embeddings (6) Graph Embeddings. (7) Cross Modal Embeddings (7) Cross Modal Embeddings
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(03) GenAI – How Embeddings Are Learned ?
GenAI – How Embeddings Are Learned ? Table Of Contents: What Are Vector Embeddings. What’s the Goal of Learning Embeddings? Define What to Represent. Initialize the Embedding Matrix. Choose a Training Objective (Task). Prepare the Training Data. Forward Pass. Compute Loss. Backpropagation. Repeat Over Many Batches. Use or Export Embeddings. (1) What Are Vector Embedding ? (2) What’s the Goal of Learning Embeddings ? Step-1: Define What to Represent Step-2: Initialize the Embedding Matrix Step-3: Choose a Training Objective (Task) Step-4: Prepare The Training Data Step-5: Forward Pass Step-6: Compute Loss Step-7: Backpropagation Step-8: Repeat Over Many Batches Step-9: Use
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(02) GenAI – Vector Embedding Representation.
GenAI – Vector Embedding Representation. Table Of Contents: How To Represent A Vector Embedding? What Is Sparse Vector Representation? What Is Dense Vector Representation? What Is Embedding Dimension? What Is Embedding Matrix? Static & Dynamic Vector Embedding. (1) How To Represent A Vector Embedding?
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GenAI – Graph Based Symantec Linking ?
GenAI – Graph Based Symantec Linking Table Of Contents: What Is Graph Based Symantec Linking ? Why To Use Graph Based Symantec Linking ? Intuition Behind Graph Based Symantec Linking . How Graph Based Symantec Linking Works ? Real World Use Cases Of Graph Based Symantec Linking. (1) What Is Graph Based Symantec Linking ? (2) Why To Use Graph Based Symantec Linking ? (3) Intuition Behind Graph Based Symantec Linking . (4) How Graph Based Symantec Linking Works ? (5) Real World Use Cases Of Graph Based Symantec Linking.
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Probability – What Is Expected Value ?
GenAI – What Is Expected Value ? Table Of Contents: What Is An Expected Value ? (1) What Is An Expectation ? (2) Why Expectation Is Called Long Term Average ? (3) Example Of Calculating Expected Value. Example-1: Example-2: Example-3: Example-4: There is 50% 50%chances of raining today, what is the expected value ?
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(14) GenAI – Tools and Libraries
