Considerations for Bot Building | Slides

Summary: The article discusses key building blocks for an AI Assistant, including retrieving latest and historical data, chunking text for analysis, understanding context, delivering precise answers, optimizing token length, and evaluating costs for efficient performance.
consideraions-for-bot-architec

Slide27



Building Block Description
Get Latest Data Ability to retrieve the most up-to-date information from various sources to ensure the AI Assistant has access to current data.
Get Historical Data Capability to access past data and trends to provide context and insights for better decision-making.
Chunk Breaking down text into smaller, more manageable parts to facilitate processing and analysis by the AI Assistant.
Get Context Understanding the context of a query or conversation to provide more accurate and relevant responses.
Get Answer Delivering precise and informative answers to user queries by leveraging the AI Assistant's knowledge base.
Token Length Determining the optimal length of tokens (words or phrases) for processing by the Large Language Model to enhance efficiency and accuracy.
Cost of LLM Call Evaluating the computational resources and associated costs required for each call to the Large Language Model to optimize performance and budget.

Blog

From the Slides blog

LLM Overview
LLM Overview

Kreate AI Asistant

See Kreate empowers business of all sizes to levergae the power of AI assistnts without the technical complexity

Spotlight

Futuristic interfaces

Website and chatbot

Future-proof interfaces: Build unified web-chatbot experiences that anticipate user needs and offer effortless task completion.


100K-tokens    Agenda    Ai-assistant-architecture    Ai-assistant-building-blocks    Ai-assistant-custom-model    Ai-assistant-evaluation-metric    Ai-assistant-finetune-model    Ai-assistant-on-your-data    Ai-assistant-tech-stack    Ai-assistant-wrapper