ChatNetZero is an AI-powered chatbot designed to answer questions about net-zero emissions targets and plans. It leverages large language models (LLMs) but incorporates features to mitigate common LLM issues like hallucinations and lack of source verification. The tool is built on verified data from the Net Zero Tracker and aims to provide accurate, credible information on climate commitments from various entities. It has several use cases, including education, research, fact-checking, and benchmarking, and offers a platform for organizations to build their own climate-focused chatbots.
• verified sources
• self-upload documents
• updated information
• fine-tuned process
• no hallucination
ChatNetZero (beta) is a large language model (LLM)-based chatbot and question-answering platform able to decipher the complicated nuances of “net zero” and determine the credibility of decarbonization plans set by businesses, governments, and financial institutions.
Despite the rapid advancement of Generative AI, the technology still has 2 major limitations that stops the climate change community from using it: Black Box - The answers from other AI-based chatbots cannot be verified from a credible source. Hallucination - the AI tends to produce fabricated false but generally convincing answers. ChatNetZero is created to solve these 2 bottlenecks: The algorithm is fine-tuned using a collection of credible reports and data verified by experts from the Net Zero Tracker, so ChatNetzero’s responses are sourced from these verified documents. We developed a state-of-the-art anti-hallucination algorithm to make sure that there’s little misinformation produced.
In future releases, we will connect the platform to search live information from the internet, and allow users to upload their own documents and evaluate them against the expert opinion from the Net Zero Tracker reports.
Yes. We are looking for collaboration ideas to improve the platform. Please contact us via the Contact page.
Yes. ChatNetZero is designed using a modular infrastructure to enable customized deployment. Please contact us via the Contact page if you are interested in this use case.
We are rolling out more features and constantly improving the performance of the platform. Upcoming improvements on our roadmap includes: Follow-up conversations - we will enable user to ask follow up questions in the next release Multiple entities - we will improve the accuracy of answer when more than 5 actors are mentioned in the same query Speed - we are working to improve the Q&A speed of the algorithm Language - we are testing the capability of answering queries in multiple languages Complex analytical tasks - we will gradually add more complex analytical functions to the chatbot, such as interpreting information from large data tables, etc.
It is the definitive register of net zero targets set by countries, states and regions, cities and large companies. It shines a light on the existence (or lack thereof) of pledges and parameters of integrity — for example, whether an entity has: set interim targets published a plan outlining how it will reach net zero committed to report its progress annually is clear about the scopes of emissions contained in its target, and planned use of offsets.
ChatNetZero is still in its beta form, and like all large language models, there are some questions that it can respond to well, but others where it may struggle. For example, you may want to know whether Company X has set a “good” net zero target. ChatNetZero can’t make a subjective evaluation like this, but we recommend you check out the following resources: UN High Level Expert Group Recommendations on Net Zero Integrity Oxford Principles for Making a Net Zero Commitment
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