Saurabh

Mastering LLama 2: An End to End Guide For Meta's Opensource LLM Model

Apr 25, 20243 min read

Introduction: Unlocking the potential of LLama 2 unleashes a world of possibilities in natural language processing (NLP). With its diverse variations...

Mastering LLama 2: An End to End Guide For Meta's Opensource LLM Model

Exploring Vector Databases: Part 2 - Building Hybrid Search, Facial Similarity Search, and Anomaly Detection with Pinecone

Apr 19, 20243 min read

Introduction: Continuing our exploration of vector databases, we delve into three additional applications that leverage the capabilities of Pinecone....

Exploring Vector Databases: Part 2 - Building Hybrid Search, Facial Similarity Search, and Anomaly Detection with Pinecone

Exploring Vector Databases: Part 1 - Building Semantic Search, Retrieval Augmented Generation, and Recommendation Systems with Pinecone

Apr 19, 20243 min read

Introduction: In the era of information abundance, efficient retrieval, and personalized recommendations are paramount for enhancing user experiences...

Exploring Vector Databases: Part 1 - Building Semantic Search, Retrieval Augmented Generation, and Recommendation Systems with Pinecone

Traversing Semantic Spaces: Exploring Search Techniques in Word Embeddings

Apr 18, 20243 min read

Introduction: In the vast landscape of natural language processing, efficient search methodologies are paramount for retrieving relevant information...

Traversing Semantic Spaces: Exploring Search Techniques in Word Embeddings

Search Paradigms: Exploring Dense, Sparse, and Hybrid Search Techniques

Apr 18, 20242 min read

Introduction: In the realm of information retrieval, search methodologies vary widely, each offering unique advantages and limitations. This technical...

Search Paradigms: Exploring Dense, Sparse, and Hybrid Search Techniques

Cracking the Code: Understanding Encoder-Decoder Architecture and Distance Measures for Word Embeddings with Python

Apr 18, 20242 min read

Introduction: Word embeddings, a cornerstone of natural language processing (NLP), provide a means to represent words in a machine-understandable...

Cracking the Code: Understanding Encoder-Decoder Architecture and Distance Measures for Word Embeddings with Python