The Endowment for Climate Intelligence (ECI) is excited to announce the release of ClimateGPT, the first open source ensemble of AI models dedicated to addressing the fast-moving impact of climate change. ClimateGPT seeks to drive resilient climate action for researchers, policymakers, and business leaders, to make informed decisions in this climate of uncertainty.
Available on Hugging Face today, users can download the model, its research paper, and use a new AI lineage explorer to get visibility into its ClimateGPT training lifecycle. The breakthrough underscores the ECI’s commitment to the open science and open source AI communities, heralding a significant step toward responsible AI development. The model benchmarks scores show a 10x the efficiency on climate-specific tasks and novel cascading machine translation that recovers nearly 94% of fluency performance compared to native multilingual language models. The result archives an equitable and audited AI model that is extensively fine-tuned by humans with diverse forms of expert and local stakeholder perspectives.
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After over four years of research, testing, building, and fine-tuning more than 100 Large Language Models, Erasmus.AI developed the corpus of ClimateGPT from its planetary scale corpora —one of the world’s largest web and academic collections, with research and insights on climate, extreme weather, the Club of Rome’s Earth4All, and UN Sustainable Development Goals (SDGs). The Erasmus corpus is drawn from over 10 billion web pages and millions of open-access academic articles. ClimateGPT is trained to synthesize interdisciplinary research and break silos to form a holistic understanding of the impacts of climate change across the natural, social and economic sciences.
In collaboration with AppTek’s AI and language research scientists, the model was trained with a new climate-specific instruction fine-tuning (IFT) dataset and benchmark that allows users to access knowledge across scientific disciplines in over 20 languages. EQTY Lab worked closely with Further Ventures to architect the ClimateGPT platform to leverage a new advanced cryptographic framework that authenticates, secures, and governs responsible AI models.
The ECI launched the initial node of ClimateGPT during COP28 at Abu Dhabi’s Al Dhafra Solar PV, a 2-gigawatt facility and the world’s largest single-site solar plant. Access to the model expanded today to Microsoft’s green energy data centers worldwide. The ECI trained ClimateGPT on an array of 256 Nvidia H100s, the most-energy efficient cloud GPUs, and powered by hydroelectric energy in Puyallup, Washington.
Using a groundbreaking Retrieval-Augmented Generation (RAG) AI platform, enterprises can harness the open source model and apply it to real-time and proprietary datasets. Integrations into Salesforce and Databricks provide rapid deployment and fine-tuning of the model. At the UN COP28 Conference, the first corporate entities announced their deployment of the platform, including TAQA, Etihad Rail and ADNEC Group. The renewable energy company Masdar is also among the first adopters of the model.
SOURCE: PRNewswire