Prompt Engineering Deep Dive: Parameters, Chains, Reasoning, and Guardrails
Learn what prompt engineering is, why it matters, and how to craft effective prompts for generative AI models. Boost accuracy, clarity, and output quality with ...
Category: GenAI
LLM Text Clustering and Topic Modeling: HDBSCAN & BERTopic Tutorial
Master semantic document clustering using embeddings, UMAP, HDBSCAN, and BERTopic Quick Start: 5-Minute Text Clustering Want to see text clustering in action im...
Text Classification using Large Language Models (LLMs)
1. Introduction A common task in natural language processing (NLP) is text classification. Use cases of text classification include sentiment analysis, intent d...
Inside the LLM Inference Engine: Architecture, Optimizations, Tools, Key Concepts and Best Practices
Introduction When you send a prompt to ChatGPT, Claude, or any other LLM-powered application, what actually happens behind the scenes? The journey from your inp...
Fact-checking in LLM
Summary of fact-checking in LLM #llm #hallucinations #misinformation
How do you choose among competing open-source products? Example comparison of open-source vector databases.
Following are the questions that should be running in your mind when you are to choose from competing open-source products: The popularity and traction of GitHu...
Hands-on Tutorial on Making an Audio Bot using LLM, and RAG
1. Learning Outcome 2. Large Language Model Large Language Model (LLM) is an artificial intelligence (AI) model with billions of parameters, trained on huge amo...
Making a talking bot using Llama3.2:1b running on Raspberry Pi 4 Model-B 4GB
Introduction In this article, I describe my experiment on making a talking bot using a Large Language Model Llama3.2:1b and running it successfully on the Raspb...