Breaking LLM Context Window Barriers

Breaking LLM Context Window Barriers

Table of Contents:

1. Introduction to AI Breakthroughs
   • Overview of AI advancements
   • Challenges in building real applications
2. Unified Natural Language Query (NLQ)
   • Importance of unified NLQ
   • Killer app of AI for businesses
3. Context Window Limitation in Large Language Models
   • Understanding the context window
   • Challenges of processing data from multiple sources
4. Overcoming Context Window Constraints
   • Initial business problem approach
   • Scenario examples in Marketing, Sales, and Customer Service
5. Demo: Unified NLQ Across Multiple Databases
   • Using example of Banks CRM system
   • Empowering users through natural conversation
6. Agent's Query Execution Process
   • Steps involved in answering complex queries
   • Guard rails to prevent exceeding context window
7. Benefits of Large Language Models in Analytics
   • Efficiency in application development
   • Replacing static dashboards with conversational interactions
8. Implementing Unified NLQ Solutions
   • Theoretical framework based on neural network memory
   • Open-source code for modification and testing
9. Future of AI Applications
   • Impact on software engineering practices
   • Transitioning to conversational customer interactions
10. Scheduling a Consultation with Prolego
    • Contact information for project discussions

Introduction to AI Breakthroughs

Every day, there is a flood of news highlighting groundbreaking advancements in Artificial Intelligence (AI) that promise miracles. However, amidst this sea of information, the focus on overcoming the less glamorous challenges encountered in building practical applications often takes a back seat. One such hurdle involves effectively leveraging AI to process data from various sources. By delving into this video, you will gain insights into this prevalent challenge, learn strategies to surmount it, and witness a practical example in a customer service setting.

Unified Natural Language Query (NLQ)

In the realm of AI strategies, Unified Natural Language Query, commonly known as unified NLQ, emerges as a pivotal tool. This innovative concept enables the transformation of reports, dashboards, or application screens into dynamic conversations, bridging the gap between users and data. Unified NLQ is forecasted to become the ultimate Game-changer in the AI landscape, driving widespread adoption within companies. As businesses Gravitate towards embracing this technology, the potential for enhanced user engagement and data interaction proliferates.