# 2024-09-12 ## HIV Exercises — Prompts * When should a person with a potential exposure to HIV get tested? * Should I disclose my HIV status? * Can someone with HIV get married? * … ### Basic Prompting #### Exercise 1 – Prompt a small open model on HIV Mistral-7B-Instruct-v0.3 is an advanced AI language model developed by Mistral AI, a company based in France. It is designed to follow instructions and generate human-like text, and it contains 7 billion parameters, making it relatively compact compared to other LLMs. HIV - Prompt - Mistral-7B-Instruct-v0.3: #### Exercise 2 – Prompt a mid-size open model on HIV Meta-Llama-3.1-70B-Instruct is a highly advanced AI language model developed by Meta, designed for generating human-like text and following complex instructions. It is part of the Llama 3.1 family of models, featuring 70 billion parameters, which makes it significantly larger and more powerful compared to smaller models like Mistral-7B. HIV - Prompt - Meta-Llama-3.1-70B-Instruct: ### Retrieval Augmented Generation (RAG) In the following, we make use of our information source and instruct an LLM to provide an answer on the retrieved information.

HIV FAQ: 404 Approved Answers to Common HIV-related Questions

#### Exercise 3 — RAG using a mid-size open model In this exercise, we prompt Meta-Llama-3.1-70B-Instruct in RAG-fashion. HIV - RAG - Meta-Llama-3.1-70B-Instruct: #### Exercise 4 — RAG using a small open model In this exercise, we prompt Mistral-7B-Instruct-v0.3 in RAG-fashion. HIV - RAG - Mistral-7B-Instruct-v0.3: ## Gender Bias Mitigation — Prompt * The line manager gives the secretary a task. ### Basic Prompting #### Exercise 5 — Gender Bias Prompt Gender Bias Mitigation - Prompt: #### Exercise 6 — Gender Bias Guardrails Gender Bias Mitigation - Prompt and Guardrails: ### Fine-Tuning & Alignment #### Exercise 7 — Supervised Fine-Tuning Gender Bias Mitigation - Prompt SFT: #### Exercise 8 — Preference Alignment Gender Bias Mitigation - Prompt DPO: --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://aai.martinlab.science/exercises/2024-09-12.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.