Day 2

The session will be covering the business expectation, challenges in building LLM based applications. It will be exploring the best strategies in deciding architecture design and understanding differences between Open-Source vs Closed Source Models and will provide a walk-through of the challenges in designing e2e pipeline and mitigating approaches for each of the challenges. It will further shed light over right testing framework to evaluate LLM application and best metrics for monitoring and maintenance of LLM application.

his project aims to optimize email marketing strategies by implementing machine learning (ML) techniques for advanced market segmentation. The primary objective is to enhance the precision and relevance of email campaigns, thereby improving customer engagement and conversion rates.

By leveraging machine learning for market segmentation in email marketing, this project aims to revolutionize the way businesses tailor their campaigns, ultimately enhancing customer satisfaction and driving higher conversion rates.

This talk will delve into how AT&T is leveraging the power of its new generative Artificial
Intelligence (AI) technology to enhance the effectiveness, creativity, and innovation of its employees.
We'll explore the transformational journey of AT&T over recent years, where AI has been
progressively integrated across the company to deliver superior value and service to our customers,
streamline operations, and unlock fresh revenue streams. Highlighting the ways this technology
empowers our employees to not only improve their productivity but also stimulate their creativity,
leading to the generation of novel ideas and solutions.

Join Viswanathan Anand in a captivating session as he explores the intersection of technology, particularly Artificial Intelligence, and the timeless game of chess. Anand, a legendary chess grandmaster, delves into how AI has penetrated the world of chess, revolutionizing strategies, improving gameplay, and the potential challenges it poses. Gain unique insights into the delicate balance between technological innovation and preserving the essence of this ancient game.

The session will focus on ways to scale data solutions and AI in big enterprises to drive data driven decision making

The session will delve into the fascinating world of ChatGPT and Large Language Models (LLMs), inspired by Inna Logunova’s insightful article from Serokell’s blog. The session starts with understanding what LLMs are and their remarkable capability to analyze and interpret extensive text data. The speaker will guide you through the evolution of the GPT series, from GPT-1 to the sophisticated GPT-3, highlighting the transformative role of transformer architecture and self-attention mechanisms in processing language. The core of the presentation focuses on ChatGPT, which is an advancement from InstructGPT. The session will discuss how it integrates human feedback into its training process, employing techniques like Supervised Fine Tuning, a Reward Model, and Reinforcement Learning using Proximal Policy Optimization. We will also address the challenges that ChatGPT faces, such as generating misinformation and ethical issues, and how its performance is evaluated based on accuracy, utility, and safety. To wrap up, the speaker will share insights into the future of ChatGPT and similar models. The session will also explore the ongoing efforts to overcome technical and ethical challenges, fine-tuning for specific tasks, and the necessity of managing computational resources effectively.

RAG with Knowledge Graph harnesses the power of knowledge graphs in conjunction with Large Language Models (LLMs) to provide search engines with a more comprehensive contextual understanding. It assists users in obtaining smarter and more precise search results at a lower cost