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Unleashing Multimodality with LangChain and OpenAI Audio Models: Live Coding Examples In this video, we explore the powerful integration of LangChain and OpenAI's audio preview models to create seamless, intelligent workflows that combine text, audio, and more. You’ll witness live coding examples demonstrating how to: Process and analyze audio inputs with OpenAI’s audio model. Build dynamic multimodal pipelines using LangChain's tools and capabilities. Combine text and audio processing in llm. LangChain is a powerful framework designed to simplify the development of AI applications that leverage large language models (LLMs) in combination with external data sources and tools. It provides an intuitive interface to build applications that integrate conversational AI, structured workflows, and decision-making capabilities. LangChain's modular architecture supports key features like memory (to maintain context over interactions), tool integration (such as databases, APIs, and search engines), and chain creation (to execute complex multi-step processes). With its ability to handle dynamic tasks, adapt to user input, and enable seamless collaboration between AI and external systems, LangChain is widely used for building chatbots, knowledge assistants, automated workflows, and more. Its growing ecosystem makes it an essential tool for developers aiming to build intelligent, context-aware, and efficient AI applications. #llm #genai #generativeai #openai #chatgpt #ai #aidevelopment #machinelearning #llama #multimodal I make you a better software engineer than yesterday with my videos. #BetterSDEThanYesterday Let's begin with step 1: Click the link below. / @devmonk.preetam Connect with me: Stay updated with more tech content, tutorials, and insights by following me on social media: 🔗 LinkedIn: / preetamnahak 🔗 Twitter: https://x.com/preetamnahak 🔗 Instagram: / preetamnahak 🔗 GitHub: https://github.com/preetamnahak 🔗 Blog/Website: / preetamnahak Don't forget to subscribe to the channel for more videos on tech, cloud computing, distributed systems, and startup tips!