Part of Ai residency https://academy.decodingdatascience.com/airesidencyfasttrack New Cohort Starting Jan 18th 2025 Description: Dive into the world of Large Language Model (LLM) Wrappers and Function Calling in this advanced masterclass. Designed for professionals seeking to harness the full potential of LLMs, this session will cover practical techniques for integrating LLMs into real-world applications with a focus on wrappers and API-driven function calls. Participants will gain hands-on experience in leveraging LLM wrappers to manage input/output pipelines, customize model behavior, and efficiently handle multiple tasks. Additionally, the masterclass will demonstrate how to design and implement function calling mechanisms, enabling LLMs to trigger specific functions based on user prompts or contextual requirements. Key Highlights: LLM Wrappers: What they are and why they matter. Designing custom wrappers for enhanced usability. Managing input/output pipelines for streamlined performance. Function Calling: Understanding function calling in LLMs. How to map user intents to specific functions. Practical examples of integrating function calls in AI-powered applications. Hands-On Demonstrations: Real-world use cases of LLM wrappers in application development. Setting up and configuring function calls with APIs. Debugging and optimizing function-call workflows. Who Should Attend: AI practitioners, data scientists, and developers building applications with LLMs. Professionals interested in integrating LLMs with APIs and external systems. Teams aiming to improve efficiency and flexibility in AI solutions. Outcomes: By the end of this masterclass, participants will be able to: Design and implement robust LLM wrappers for various use cases. Use function calling to enhance the functionality of LLM-based applications. Confidently deploy LLM solutions in real-world projects with advanced integration techniques. This masterclass blends theory with practical application to ensure participants leave with actionable skills.