Is your AI experiencing memory loss? 🤯 Frustrated with disjointed conversations? This video is your ultimate guide to building conversational AI that remembers, understands context, and transforms your projects into intelligent dialogues! We're diving deep into #LangChain and #TinyLlama to give your AI the memory it deserves. 🧠 In this hands-on tutorial, you'll learn: - How to set up your #GoogleColab environment for AI development. - Installing essential libraries like #AutoTokenizer and #AutoModelForCausalLM. - Loading the powerful #TinyLlama model for efficient text generation. - The magic of #ConversationBufferMemory for giving your AI memory. - Crafting effective #PromptTemplates for seamless dialogue. - Practical examples of how your AI can remember names and hobbies! Say goodbye to forgetful AI and hello to fluid, engaging conversations. This isn't just a tutorial; it's a transformation for your #AIProjects. 🔥 Next up: We'll explore how to teach your AI to read and understand PDFs! Stay tuned for Part 3! Resources: - LangChain Memory Docs - Tiny Llama Don't forget to like, comment, and subscribe for more AI tutorials! Let me know what you build! 👇 #AIChatbots, #ChatbotTutorial, #HuggingFace, #ConversationalAI, #AIWithMemory, #BuildAIChatbot, #AIDevelopment, #PythonProgramming, #GoogleColab, #TinyLlama, #LangChain, #AutoTokenizer, #TextGeneration, #NLP, #MachineLearning, #DeepLearning, #AIProject, #StepByStepTutorial, #CodingTutorial, #AIChatbotWithMemory, #ContextualAI, #EasyAITutorial, #AIForBeginners, #PracticalAI, #AIAplications, #AITools, #HowToCreateAIChatbots, #AIChatbotDevelopment, #CreateYourOwnAIChatbot, #PythonForAI, #FreeAITutorial, #LLM, #LargeLanguageModel, #MemoryAugmentation, #ConversationBuffer, #PromptEngineering, #ModelSelection, #ModelTraining, #AIModelDeployment, #DougOrtiz #dougortiz ▬▬▬▬▬▬ 👋 Contact Me ▬▬▬▬▬▬ ➡ LinkedIn: https://www.linkedin.com/in/doug-ortiz-illustris/ ✍️ Blog: https://dougortiz.blogspot.com/ ▬▬▬▬▬▬ ⏱ Timestamps ▬▬▬▬▬▬ 00:00 Introduction: Solving AI's Memory Problem 00:23 Setting Up the Environment 00:41 Installing and Importing Libraries 01:13 Configuring the Model and Tokenizer 01:46 Building the Conversational Pipeline 02:03 Implementing Memory in AI 02:24 Testing and Verifying AI Memory 04:17 Conclusion and Next Steps