Cleaned up the Variouss folder

Corpus/Various/LLMs and Vibe Coding/Create an interview agent.md

@@ -0,0 +1,35 @@
+---
+tags:
+  - project/iso27DIY
+  - dev
+  - llm
+  - agent
+---
+# Create an interview agent
+
+We need to create a conversational agent that proactively drives the dialogue, also called a 'mixed-initiative' or 'proactive' conversational agent.
+
+We need to design prompts/instructions that encourage initiative. Here's an example prompt:
+```
+You are a proactive assistant. Start the conversation by greeting the user and asking them about their needs. If their response is unclear, ask follow-up questions to clarify. Guide them step by step through the process, making suggestions and confirming understanding at each stage.
+```
+
+
+Implement dialogue management (manage conversation state):
+
+- In a **stateless** setup, your application manages the conversation history and sends it with each request.
+- In a **stateful** setup, the platform manages context, and you only send new messages.
+- For advanced initiative, consider reinforcement learning or preference optimization techniques (such as Action-Based Contrastive Self-Training) to train the model to recognize ambiguity and take action to clarify or drive the conversation forward.
+
+Incorporate prompts and follow-ups:
+
+- Use follow-up prompts and context tracking to manage multi-turn flows, refining the conversation at each step and ensuring the bot leads the user toward a goal.
+
+Use LLMs with strong context retention and multi-turn support.
+
+Recommended Chat Models:
+- Qwen: Frequently praised by users for its conversational quality and reliability in chat-based applications. It is considered a strong choice for structured interviews due to its ability to maintain context and handle follow-up questions effectively.
+- Meta Llama (Llama 3 and variants): Popular for general-purpose chat and conversational AI tasks. Llama models are known for their robust performance and can be fine-tuned or prompted to follow structured interview formats.
+- Cohere Command R: Cohere’s latest conversational model, optimized for dialogue and tool use, is highlighted for its 2024 update and is suitable for building structured, interactive interview agents.
+- Mistral (Dolphin and others): Noted by some users as a reliable alternative for chat applications, offering strong conversational abilities and context retention.
+