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Rutam Bhagat

Ex-SWE @nordstone_uk , LLM Developer • LLMOPs • ML • MLOps • NLP • Data Science • Python • Full stack • Freelance Technical Writer

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Unstructured: LLM Content Normalization

Unstructured: LLM Content Normalization

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7 min read

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LLM: Data Prep 101

LLM: Data Prep 101

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4 min read
LLM Red Teaming: Assessment of an LLM-based Chatbot

LLM Red Teaming: Assessment of an LLM-based Chatbot

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13 min read
Giskard: LLM-Assisted Automated Red Teaming

Giskard: LLM-Assisted Automated Red Teaming

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7 min read
LLM Security: Using Automated Tools for Vulnerability Scans

LLM Security: Using Automated Tools for Vulnerability Scans

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8 min read
LLM Security: Bypassing LLM Safeguards

LLM Security: Bypassing LLM Safeguards

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11 min read
Exploring LLM RAG Application Vulnerabilities

Exploring LLM RAG Application Vulnerabilities

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11 min read
Safeguarding AI with Llama Guard: Ethical AI Development

Safeguarding AI with Llama Guard: Ethical AI Development

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8 min read
CodeLlama: The Next-Gen Coding Assistant

CodeLlama: The Next-Gen Coding Assistant

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8 min read
Introduction to Gen AI & RAG Applications with SingleStore

Introduction to Gen AI & RAG Applications with SingleStore

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7 min read
LLM Safety: Monitoring, Prompts, and Responsible AI

LLM Safety: Monitoring, Prompts, and Responsible AI

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6 min read
LLM Workflows: A Practical Guide to Kubeflow Pipelines

LLM Workflows: A Practical Guide to Kubeflow Pipelines

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6 min read
Introduction to LLM Ops: Reliable and Scalable LLM Integration

Introduction to LLM Ops: Reliable and Scalable LLM Integration

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4 min read
Auto-Merging: RAG Retrieval Technique

Auto-Merging: RAG Retrieval Technique

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7 min read
Sentence Window Retrieval: Optimizing LLM Performance

Sentence Window Retrieval: Optimizing LLM Performance

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9 min read
The RAG Triad: Guide to Evaluating and Optimizing RAG Systems

The RAG Triad: Guide to Evaluating and Optimizing RAG Systems

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7 min read
Evaluating Retrieval Augmented Generation Pipelines with LlamaIndex and TruLens

Evaluating Retrieval Augmented Generation Pipelines with LlamaIndex and TruLens

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6 min read
Detecting Hallucinations in Large Language Models with Text Similarity Metrics

Detecting Hallucinations in Large Language Models with Text Similarity Metrics

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5 min read
Vertex AI: Building a Q&A System with Semantic Search

Vertex AI: Building a Q&A System with Semantic Search

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8 min read
RAG ReRank: Enhance keyword search

RAG ReRank: Enhance keyword search

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8 min read
Building a Document-Driven Chatbot with LangChain: The Ultimate Guide

Building a Document-Driven Chatbot with LangChain: The Ultimate Guide

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6 min read
Question Answering: Build a one-pass question-answering solution

Question Answering: Build a one-pass question-answering solution

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5 min read
Retrieval: Grasp advanced techniques for accessing and indexing data in the vector store

Retrieval: Grasp advanced techniques for accessing and indexing data in the vector store

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6 min read
Vector stores and embeddings: Dive into the concept of embeddings and explore vector store integrations within LangChain

Vector stores and embeddings: Dive into the concept of embeddings and explore vector store integrations within LangChain

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8 min read
Document Splitting: Discover the best practices and considerations for splitting data

Document Splitting: Discover the best practices and considerations for splitting data

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5 min read
Document Loading: Learn the fundamentals of data loading

Document Loading: Learn the fundamentals of data loading

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6 min read
Agents: explore the powerful emerging development of LLM as reasoning agents.

Agents: explore the powerful emerging development of LLM as reasoning agents.

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4 min read
Optimize Your Language Models with LangChain's Evaluation

Optimize Your Language Models with LangChain's Evaluation

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5 min read
Question Answering over Documents: apply LLMs to your proprietary data and use case requirements

Question Answering over Documents: apply LLMs to your proprietary data and use case requirements

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5 min read
Chains: creating sequences of operations

Chains: creating sequences of operations

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3 min read
Memories for LLMs: memories to store conversations and manage limited context space

Memories for LLMs: memories to store conversations and manage limited context space

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3 min read
Models, Prompts and Parsers: calling LLMs, providing prompts and parsing the response

Models, Prompts and Parsers: calling LLMs, providing prompts and parsing the response

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2 min read
Beautiful Soup or Scrapy or Selenium - Best tool for Python Web scraping?

Beautiful Soup or Scrapy or Selenium - Best tool for Python Web scraping?

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3 min read
Finding the Perfect Model for Your Project on the Hugging Face Hub

Finding the Perfect Model for Your Project on the Hugging Face Hub

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5 min read
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