Mastering LLM Parameters: A Deep Dive into Temperature, Top-K, and Top-P

Improving RAG: Using LLMs as Reranking Agents

AI Terminology Explained: Embeddings, Vector Database, Vector Search, k-NN, ANN

All The Confusing AI Terms, Explained in Plain English with Examples

Zero-Shot, Few Shot, and Chain-of-thought Prompt

Explore the nuances of each prompting technique and provide examples and coding demonstrations to highlight how to use them.

Unleashing the Power of Conversational AI: A Seamless Guide to Creating an Amazon Lex Chatbot with Bedrock Claude LLM Model

Customise Token Pricing Calculation in LangChain: A Step-by-Step Guide

Explore the ins and outs of tracking token usage in your NLP calls, including the associated token costs using LangChain.

Solving Math Based (Hard) Problems with Large Language Models (LLMs)

Serverless compute for LLM — with a step-by-step guide for hosting Mistral 7B on AWS Lambda

How I Use AutoGen With Retrieval Augmented Generation (RAG)

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The Future of AI and PowerPoint: How Large Language Models Could Boost Presentation Building

How integration of LLMs like Copilot could completely transform PowerPoint, saving users time while unlocking more creativity.