Sustainable Investor AI: GenAI-based advisor for ESG Investments

Sustainable Investor AI

GOAL

AI advisor for ESG (Environmental, Social, Governance) investments

PROBLEM

SOLUTION

Safe investment AI advisor across traditional financial factors & ESG metrics; leveraging GenAI for research and measuring trustworthiness of data.

Conversational Interface

Use GenAI to measure trustworthiness against greenwashing

HYPOTHESIS

Leveraging GenAI & embedding results with the trustworthiness of ESG data sets, we can provide safer/more reliable financial research advice in an easy to use natural language.

PROMPT TUNING TECHNIQUES USED

Role based prompting.

Excerpt referencing.

Focused & separate questions.

Including company metadata in the prompt.

Specific criteria for quality evaluation scoring.

Clear & specific instructions.

RESULTS

Choose LLM model per use case.

Need for prompt guidelines, clear instructions, be specific & concise.

Traceability improves reliability: asking LLM to tell me which sentences it uses to generate the answer improves results immensely.

Tradeoff between predictability & creativity: Adjusted temperature, Trustability check required greater predictability.

Domain specific prompt development: Important to have domain expert involved in the prompt engineering.

Team Members

FEEDBACK

Seeking feedback on Sustainable Investor AI project, happy to hear feedback over email or even have a short 30 minute call (e.g. how useful you think this product could be, other adjacent areas we could look at, or ideas on datasets we could use)

Mail: Anshul Madan madananshul@gmail.com