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(11) GenAI – Dimensionality and Optimization
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(06) GenAI – Word Embeddings.
GenAI – Word Embeddings Table Of Contents: What Is Word Embedding? Why Use Word Embeddings? Types Of Word Embeddings. Static Word Embeddings. Contextual Word Embeddings. What Is Static Word Embeddings? Popular Static Word Embedding Models. What Is Dynamic Word Embeddings? Popular Dynamic Word Embedding Models. How Are Word Embeddings Models Trained? Word Similarity In Embedding Space. Applications Of Word Embeddings. Summary. (1) What Is Word Embedding ? (2) What Is Semantic Meaning. (3) Why To Use Word Embedding ? (4) Static Word Embedding . (5) Popular Static Word Embedding Models (6) Contextual Word Embedding. (7) Popular Contextual Word Embedding Models.
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(01) GenAI – Introduction To Vector Embedding.
GenAI – Introductions To Vector Embedding Table Of Contents: What Are Vector Embeddings? Why Do We Need Embeddings? How Are Embeddings Represented? Types Of Vector Embeddings. Key Properties Of Vector Embeddings. How Are Vector Embeddings Are Learned? Applications Of Vector Embeddings. (1) What Are Vector Embeddings ? (2) Why Do We Need Embeddings ? (3) How Are Embeddings Represented ? (4) Types Of Vector Embeddings . (5) Characteristics Of Vector Embeddings .
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GenAI – What Is Reciprocal Rank Fusion(RRF) Ranker?
GenAI – What Is Reciprocal Rank Fusion (RRF) Ranker ? Table Of Contents: What Is RRF Ranker? Intuition Behind RRF Ranker. Formula For RRF Ranker. What Does RRF Rank Score Signifies ? When To Use RRF Ranker? Step By Step Implementation Of RRF Ranker. (1) What Is RRF Ranker ? (2) Intuition Behind RRF Ranker . (3) How Reciprocal Rank Fusion (RRF) Improves Recall and Diversity ? (4) Formula For RRF Ranker. (5) What Does RRF Rank Score Signifies ? (6) When To Use RRF Ranker ? (7) When Not To Use RRF Ranker ? (8) Example Of RRF Ranker.
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GenAI – What Is A Tensor ?
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GenAI – Smart Search Engine.
GenAI – Smart Search Engine Table Of Contents: Problem With Traditional Search Engine. What Is Smart Search Engine? Architecture Of Smart Search Engine. Input Data Collection. Data Cleaning & Preprocessing Populate Not Available Product Description. Text & Image Embedding Generation. Vector Database Injection. User Query Handling. Retrieve Top ‘k’ Results. Apply RRF Ranking. (1) Problem With Traditional Search Engine . (2) What Is Smart Search Engine? (3) Architecture Of Smart Search Engine. Input Data Preparation. Data Cleaning & Preprocessing. Embedding Generation. Vector Database Injection. User Query Handling. Retrieve Top ‘K’ Results. Reranking The Results. Display The Results. (4) Input Data
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GenAI – What Is Inverted Indexing Technique ?
GenAI – What Is Inverted Indexing Technique ? Table Of Contents: What Is Inverted Indexing ? How Inverted Indexing Works ? Why Inverted Indexing Is Powerful ? Inverted Indexing Vs Forward Index. Where Inverted Indexing Is Used ? (1) What Is Inverted Indexing ? (2) How Inverted Indexing Works ? (3) Why Inverted Indexing Is Powerful ? (4) Inverted Indexing Vs Forward Index. (5) Where Inverted Indexing Is Used ? (6) How Sparse Vector Uses Inverted Indexing To Retrieve Top Matching Documents ? (7) Why Sparse Representation Can Only Use Inverted Indexing Technique?
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GenAI – Sparse Vector Vs Dense Vector.
GenAI – Sparse Vector Vs Dense Vector Table Of Contents: What Is Sparse Vector ? Best Scenarios to Use Sparse Vector Representation. Scenarios We Cant Use Sparse Vector Representation . (1) What Is Sparse Vector? (2) Best Scenarios to Use Sparse Vector Representation (3) Scenarios We Cant Use Sparse Vector Representation . (4) Model Used To Generate Sparse Vectors. (5) What Is Dense Vector Representation ? (5) Scenarios Where We Can Use Dense Vector Representation ? (6) Scenarios Where We Can’t Use Dense Vector Representation ? (7) Models Used To Create Dense Vector Representation .
