LLM Lifecycle Management

In this session, we’ll explore the complete journey of a Large Language Model (LLM) from its inception to deployment and beyond. As LLMs continue to revolutionize various industries with their ability to understand and generate human-like text, effectively managing their lifecycle has become critical for ensuring successful outcomes. We’ll start by introducing LLM fine-tuning for domain-specific applications, followed by a deep dive into the various phases of their lifecycle, from data collection for LLMs and model architecture design to deployment and continuous monitoring.

Key Takeaways:

• Discover the complete lifecycle of Large Language Models (LLMs), from inception to deployment and beyond.
• Understand the key applications of LLMs across industries and their impact on text understanding and generation.
• Learn about essential phases in the LLM journey, including data collection, model design, deployment, and monitoring.
• Gain insights into managing the LLM lifecycle for optimal performance and successful real-world outcomes.

Vishal Patil is working as Senior GenAI Engineer at Ascendion Engg. Pvt Ltd. Has over 6 years of dedicated experience in developing and deploying advanced machine-learning models to solve complex business challenges. His journey has equipped him with deep expertise in predictive modeling, natural language processing (NLP), and generative AI. He designs and implements robust cloud solutions and is certified in Microsoft Azure Data Science (DP-100) and AI Fundamentals (AI-900). His technical proficiency in Python and various machine learning frameworks, coupled with a strong command of NLP techniques like tokenization, stemming, and OCR, has allowed him to extract valuable insights from diverse datasets.

Throughout his career, he has successfully bridged the gap between technical solutions and business needs, working closely with product managers to address development challenges and deliver impactful AI-driven results. He also loves to write technical blogs and articles on recent trends in AI/ML, which are available on LinkedIn and Medium. You can reach him on LinkedIn.