Iqra Technology

❮ Previous Next ❯ Implementing Memory in LangChain LangChain provides easy tools to add memory into your applications, whether for short-term conversation context or long-term user history. Simple conversation memory LangChain includes built-in memory types such as ConversationBufferMemory, which allows your LLM to remember previous messages during a session. Example: This setup enables the model […]

❮ Previous Next ❯ What is Memory in AI Applications? In the context of AI and chatbots, memory refers to the ability of the system to remember previous interactions and use that information to provide more meaningful and context-aware responses. Without memory, every interaction would be treated as a standalone conversation — the AI wouldn’t

❮ Previous Next ❯ Hands-on: Experimenting with Prompts LangChain allows you to test different prompt strategies with ease. You can dynamically insert variables into templates and observe how changing wording impacts results. Code Sample: Writing and testing different prompt styles Try experimenting with:    •  Open-ended vs. specific prompts   •  Formal vs. conversational tone   • 

❮ Previous Next ❯ Types of Prompts Different tasks require different types of prompts. Common categories include: • Descriptive prompts – For explanations or summaries• Instructional prompts – For how-to guidance or procedures• Creative prompts – For storytelling or ideation• Comparative prompts – For pros/cons or analysis Each type helps tailor the output style and

❮ Previous Next ❯ What is Prompt Engineering? Prompt Engineering is the art of designing effective inputs (prompts) to get the most accurate, relevant, and helpful responses from a Large Language Model (LLM). Since LLMs respond based on the text they receive, carefully crafting your prompt directly impacts the quality of the output. A.How LLMs

❮ Previous Next ❯ Creating Simple LLM Applications LangChain makes it easy to build beginner-friendly LLM-powered applications. Let’s look at two basic use cases: Generating text responses You can build apps that generate: •  Blog posts or social media content•  Email replies•  Product descriptions•  Creative writing content Example: Chatbots with basic prompts LangChain allows you