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The Fifth Elephant 2024 Annual Conference (12th &13th July)

Maximising the Potential of Data — Discussions around data science, machine learning & AI

Gagan Gupta

Gagan Gupta

@gagangupta

Bharat Shetty B

@ctangent

Soma Dhavala

Soma Dhavala

@dhavala

Building and Deploying LLM Applications: From Concept to Production - Expert Session

Submitted Jul 4, 2024

Session Overview

This expert session will orchestrate a discussion on exploring the cutting-edge world of Large Language Model (LLM) applications, focusing on real-world implementation strategies and best practices. Attendees will gain valuable insights into the entire lifecycle of LLM-based solutions, from initial concept to successful deployment in production environments.

Target Audience

  • CTOs, technology leaders and executives in AI-focused startups
  • Software engineers and AI developers working on LLM integration and building LLM Apps.
  • AI researchers and data scientists exploring practical applications
  • Product managers overseeing AI-driven projects and delving into the LLM App Life Cycle
  • IT professionals responsible for deploying and maintaining AI systems

Key Topics

  1. Production Insights: LLM Application Case Studies
    Examine real-world examples of successful LLM deployments across various industries. Analyze key factors for success and common pitfalls to avoid.

  2. LLM Application Lifecycle Management
    Explore the entire process of developing LLM applications, from initial prototyping to scaling for production. Learn effective strategies for each stage of development.

  3. Leveraging AI for Enhanced Productivity and Research
    Discover innovative ways to utilize LLMs for accelerating research processes, boosting personal productivity, and facilitating continuous learning in organizations.

  4. Specialized LLMs and Domain-Specific Models
    Investigate the growing trend of smaller, more focused LLMs. Understand their advantages, use cases, and how they complement larger, general-purpose models.

  5. Expert Panel: LLMs in Production Environments
    Engage with industry leaders in an interactive Q&A session focused on practical challenges and solutions for implementing LLMs in real-world scenarios.

Session Objectives

Participants will leave this session equipped with:

  1. A comprehensive understanding of current LLM applications across various sectors and their impact on business processes.
  2. Practical intro into the design patterns and best practices for developing efficient and scalable LLM-powered applications.
  3. Strategies for effective deployment, including performance optimization and resource management in production environments and monitoring the costs.
  4. Insights into emerging trends and business discussions around LLM technology and their potential implications for future AI development.

Why Attend

This session offers a unique opportunity to:

  • Gain actionable insights from real-world LLM implementation experiences
  • Learn strategies to overcome common challenges in LLM application development
  • Network with industry peers and experts in the AI and LLM space
  • Stay ahead of the curve in the rapidly evolving field of AI application development

Join us to enhance your expertise in LLM technologies and position yourself at the forefront of AI innovation.

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Gold Sponsor

Atlassian unleashes the potential of every team. Our agile & DevOps, IT service management and work management software helps teams organize, discuss, and compl

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Sponsor

MonsterAPI is an easy and cost-effective GenAI computing platform designed for developers to quickly fine-tune, evaluate and deploy LLMs for businesses.

Community Partner

FOSS United is a non-profit foundation that aims at promoting and strengthening the Free and Open Source Software (FOSS) ecosystem in India. more

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