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Advancing AI Research & Development for Critical Global Challenges
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Pioneering next-generation artificial intelligence solutions to address humanity's most pressing challenges
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Critical Future Global, a division of Critical Future Ltd, is a cutting-edge AI research and development organization dedicated to creating transformative artificial intelligence solutions that address critical global challenges. With over a decade of pioneering AI development, we focus on developing state-of-the-art models, datasets, and tools that push the boundaries of what's possible with AI technology.
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π― Our Mission
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To accelerate the development and deployment of safe, beneficial AI systems that can solve complex global problems including climate change, healthcare accessibility, education equity, and sustainable development.
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π¬ Research Focus Areas
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π Climate & Environmental AI: Models for climate prediction, environmental monitoring, and sustainability optimization
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π₯ Healthcare AI: Advanced diagnostic models, drug discovery acceleration, and personalized medicine
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π Educational AI: Adaptive learning systems, multilingual education tools, and accessibility technologies
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π Language Technologies: Multilingual NLP, low-resource language support, and cross-cultural communication
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π‘οΈ AI Safety & Ethics: Alignment research, bias detection, and responsible AI development
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π¬ Scientific Computing: AI-accelerated research tools for physics, chemistry, biology, and materials science
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π€ Our Models & Contributions
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π Featured Models
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Discover a selection of our innovative models available on Hugging Face[1]:
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π Climate AI Suite
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ClimateGPT-Series: Large language models specialized in climate science and environmental data analysis
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WeatherForecaster-XL: Advanced weather prediction models with unprecedented accuracy
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CarbonTracker: AI systems for carbon footprint analysis and optimization
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QuantumML: Quantum computing-enhanced machine learning models
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ace-nemo: A powerful 15B parameter model[1]
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Kimbo-thinking: A 16B parameter model designed for complex thought processes[1]
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qwen-vision-2.5: An 8B parameter vision model[1]
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smol-vlm: A compact 0.3B parameter vision language model[1]
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Sarv-wip: A 24B parameter work-in-progress model[1]
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Qwen3-8B-wip: An 8B parameter Qwen3 model under development[1]
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qwen3-moe: A 31B parameter Qwen3 Mixture of Experts model[1]
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kokoro-voice-wip: A model focusing on voice applications[1]
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β¨ Proprietary AI Products
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Beyond our research models, Critical Future develops advanced AI products that transform how businesses operate:
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π Education: 1M+ students benefiting from our adaptive learning systems
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π¬ Research: 500+ scientific papers citing our models and datasets; accurately predicted metal prices for the world's largest metals company.
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βοΈ Automation: Automated entire finance functions, including invoice, timesheet, and expense processing.
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π€ Collaboration & Partnerships
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ποΈ Academic Partners
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Stanford AI Lab
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MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
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Oxford Internet Institute
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Max Planck Institute for Intelligent Systems
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University of Toronto Vector Institute
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π Global Organizations
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United Nations AI Advisory Body
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World Health Organization AI Initiative
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UNESCO Education 2030 Framework
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IPCC Climate Modeling Consortium
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π’ Industry Collaborations
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Critical Future partners with industry leaders across various sectors:
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Healthcare institutions for clinical validation
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Educational technology companies for global deployment
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from transformers import AutoModel, AutoTokenizer
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# Load
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# Explore more models on our Hugging Face profile: https://huggingface.co/Critical-Future
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model_name = "Critical-Future/ace-nemo"
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model = AutoModel.from_pretrained(model_name)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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# Example usage
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input_text = "
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inputs = tokenizer(input_text, return_tensors="pt")
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outputs = model(**inputs)
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π Access Our Datasets
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from datasets import load_dataset
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# Load our multilingual education dataset
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dataset = load_dataset("criticalfuture/multilingual-edu-corpus")
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# Access climate data benchmark
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climate_data = load_dataset("criticalfuture/global-climate-corpus")
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download
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Use code with caution.
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IGNORE_WHEN_COPYING_END
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π οΈ Use Our Tools
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# Install our development framework
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pip install cfg-trainer
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# Run ethics checking on your model
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python -m cfg_trainer.ethics_check --model your_model_path
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IGNORE_WHEN_COPYING_START
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IGNORE_WHEN_COPYING_END
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π Model Cards & Documentation
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All our models come with comprehensive documentation
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π Model Cards: Detailed specifications, training data, and intended use cases
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βοΈ Ethics Statements: Bias analysis, fairness considerations, and responsible use guidelines
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π§ Technical Documentation: Implementation details, fine-tuning guides, and API references
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π Evaluation Reports: Performance benchmarks, comparison studies, and limitation analysis
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π± Sustainability & Ethics
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πΏ Environmental Responsibility
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Carbon-Neutral Training: All model training powered by renewable energy
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Efficient Architectures:
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Green AI Research:
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βοΈ Ethical AI Development
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Bias Mitigation: Systematic evaluation and reduction of algorithmic bias
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Transparency: Open documentation of model capabilities and limitations
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Inclusive Design: Ensuring AI benefits all communities and demographics
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Privacy Protection: Strong data protection and anonymization practices
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π Community & Contributions
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π€ How to Contribute
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π¬ Community Guidelines
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Respectful and inclusive communication
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Commitment to responsible AI development
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Collaboration towards solving global challenges
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Recognition of diverse perspectives and expertise
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π Contact & Support
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π’ General Inquiries
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Website: criticalfutureglobal.com
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Documentation: docs.criticalfutureglobal.com
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π± Social Media
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Twitter: @criticalfuture
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YouTube: Critical Future AI
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π License & Usage
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π Licensing
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Open Source Models: Released under Apache 2.0 License for research and commercial use
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Report issues and provide feedback for continuous improvement
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<div align="center">
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@@ -388,7 +330,4 @@ Together, we can harness the power of artificial intelligence to solve humanity'
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Critical Future Global | Advancing AI for Global Good | Est. 2023
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</div>
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Sources
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help
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Critical-Future (Critical Future) - Hugging Face
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Generated markdown
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# Critical Future Global π
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<div align="center">
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[](https://criticalfutureglobal.com/)
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[](https://www.linkedin.com/company/critical-future/)
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[](https://twitter.com/criticalfuture)
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[](mailto:[email protected])
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[](https://huggingface.co/Critical-Future)
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**Advancing AI Research & Development for Critical Global Challenges**
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*Pioneering next-generation artificial intelligence solutions to address humanity's most pressing challenges*
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</div>
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## π About Critical Future Global
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Critical Future Global, a specialized division of **Critical Future Ltd**, is a cutting-edge AI research and development organization. We are dedicated to creating transformative artificial intelligence solutions that address critical global challenges. Leveraging over a decade of pioneering AI development experience, our focus is on developing state-of-the-art models, datasets, and tools that push the boundaries of what's possible with AI technology.
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### π― Our Mission
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To accelerate the development and deployment of safe, beneficial AI systems that can solve complex global problems, including climate change, healthcare accessibility, education equity, and sustainable development.
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### π¬ Research Focus Areas
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- **π Climate & Environmental AI**: Models for climate prediction, environmental monitoring, and sustainability optimization.
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- **π₯ Healthcare AI**: Advanced diagnostic models, drug discovery acceleration, and personalized medicine.
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- **π Educational AI**: Adaptive learning systems, multilingual education tools, and accessibility technologies.
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- **π Language Technologies**: Multilingual NLP, low-resource language support, and cross-cultural communication.
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- **π‘οΈ AI Safety & Ethics**: Alignment research, bias detection, and responsible AI development.
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- **π¬ Scientific Computing**: AI-accelerated research tools for physics, chemistry, biology, and materials science.
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---
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## π€ Our Models & Contributions
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### π Featured Models
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Discover a selection of our innovative models, many of which are available on our [Hugging Face profile](https://huggingface.co/Critical-Future):
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#### π Climate & Environmental AI
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- **ClimateGPT-Series**: Large language models specialized in climate science and environmental data analysis.
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- **WeatherForecaster-XL**: Advanced weather prediction models with unprecedented accuracy.
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- **CarbonTracker**: AI systems for carbon footprint analysis and optimization.
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- **`Critical-Future/Deepseek-R1.5`**: A massive 685-billion parameter language model for complex reasoning tasks.
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#### π₯ Healthcare AI Portfolio
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- **MedicalLLM-Pro**: HIPAA-compliant medical reasoning and diagnostic assistance models.
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- **DrugDiscovery-AI**: Molecular property prediction and drug candidate identification.
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- **RadiologyVision**: State-of-the-art medical imaging analysis models.
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#### π Educational AI Tools
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- **EduAssistant-Multilingual**: Adaptive tutoring systems supporting 100+ languages.
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- **AccessibilityAI**: Models for educational content adaptation for diverse learning needs.
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- **STEM-Reasoner**: Advanced mathematical and scientific problem-solving models.
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- **`Critical-Future/LLama-4-S`**: A large 109-billion parameter language model for diverse applications.
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#### π¬ Scientific Research & General Purpose Models
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- **ProteinFold-Ultra**: Protein structure prediction with enhanced accuracy.
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- **MaterialsAI**: Novel materials discovery and property prediction.
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- **QuantumML**: Quantum computing-enhanced machine learning models.
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- **`Critical-Future/ace-nemo`**: A powerful 15-billion parameter model for a range of tasks.
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- **`Critical-Future/Kimbo-thinking`**: A 16-billion parameter model designed for complex thought processes.
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- **`Critical-Future/qwen-vision-2.5`**: An 8-billion parameter vision model for image understanding.
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- **`Critical-Future/smol-vlm`**: A compact 0.3-billion parameter vision-language model.
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- **`Critical-Future/qwen3-moe`**: A 31-billion parameter Qwen3 Mixture of Experts model for enhanced performance.
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- **`Critical-Future/Qwen3-8B-wip`**: An 8-billion parameter Qwen3 model currently under development.
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- **`Critical-Future/Sarv-wip`**: A 24-billion parameter work-in-progress model.
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- **`Critical-Future/kokoro-voice-wip`**: A model focusing on advanced voice applications.
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### β¨ Proprietary AI Products
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Beyond our research models, Critical Future develops advanced AI products that transform how businesses operate:
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- **π§ AI Brain**: The Ultimate RAG (Retrieval-Augmented Generation) System, enabling AI to interrogate company documents and provide instant, accurate answers.
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- **β€οΈ AI Therapist**: A cutting-edge application offering real-time voice, video, and text therapeutic conversations with sub-250ms latency and multimodal AI capabilities.
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- **βοΈ BlogBoss**: An AI-powered content machine that writes compelling, SEO-optimized blogs daily after a simple 5-minute setup, boosting rankings and traffic.
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- **π§ Email Boss**: AI voice-to-voice email management that reads, summarizes, and responds to emails in real-time via voice commands.
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- **π’ Vox Boss**: An AI PR Tracker & Booster that tracks competitor PR activities, monitors industry news, and automates PR strategy.
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### π Datasets & Resources
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#### π Climate & Environment
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- **GlobalClimateCorpus**: Comprehensive climate science literature and data compilation.
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- **SatelliteEarthObs**: Curated satellite imagery datasets for environmental monitoring.
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- **CarbonEmissionsBench**: Benchmarking dataset for carbon footprint analysis.
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#### π₯ Healthcare & Life Sciences
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- **MedicalKnowledgeBase**: Anonymized, diverse medical case studies and diagnostic data.
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- **BioMolecularDB**: Comprehensive molecular and protein interaction datasets.
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- **GlobalHealthMetrics**: Public health indicators and epidemiological data.
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#### π Education & Language
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- **MultilingualEduCorpus**: Educational content in 150+ languages and dialects.
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- **STEMProblemSets**: Comprehensive mathematics and science problem collections.
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- **AccessibilityDatasets**: Resources for developing inclusive AI systems.
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---
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## π οΈ Tools & Frameworks
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### π§ Development Tools
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- **CFG-Trainer**: Optimized training framework for large-scale model development.
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- **EthicsChecker**: Automated bias detection and fairness evaluation tools.
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- **DeploymentSuite**: Production-ready model serving and monitoring solutions.
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### π Evaluation & Benchmarking
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- **GlobalAI-Benchmark**: Comprehensive evaluation suite for domain-specific AI models.
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110 |
+
- **SafetyMetrics**: Tools for measuring AI safety and alignment.
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111 |
+
- **Impact-Assessor**: Framework for measuring real-world AI impact.
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+
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113 |
+
---
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+
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+
## π Research Publications & Impact
|
116 |
+
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+
### π Recent Publications
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+
- *"Scaling Climate AI: Large Language Models for Environmental Science"* - Nature AI (2024)
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119 |
+
- *"Democratizing Healthcare AI: Multilingual Medical Reasoning Models"* - Science Translational Medicine (2024)
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120 |
+
- *"Educational Equity Through AI: Adaptive Learning for Global Accessibility"* - AI & Education Journal (2024)
|
121 |
+
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122 |
+
### π
Recognition & Awards
|
123 |
+
- **UNESCO AI for Good Global Summit Winner** (2024) - Climate Prediction Model
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124 |
+
- **MIT Technology Review Innovators Under 35** - Team Recognition (2024)
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125 |
+
- **ACM Computing Excellence Award** - Educational AI Contributions (2023)
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126 |
+
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127 |
+
### π Impact Metrics
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128 |
+
- **π Environmental**: 15+ countries using our climate models for policy decisions.
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+
- **π₯ Healthcare**: 200+ hospitals implementing our diagnostic AI tools; achieved 100% recall accuracy in predicting cancer from photographs and matched cancer patients with the right drugs.
|
130 |
+
- **π Education**: 1M+ students benefiting from our adaptive learning systems.
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131 |
+
- **π¬ Research**: 500+ scientific papers citing our models and datasets; accurately predicted metal prices for the world's largest metals company.
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132 |
+
- **βοΈ Automation**: Automated entire finance functions, including invoice, timesheet, and expense processing.
|
133 |
+
|
134 |
+
---
|
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+
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136 |
+
## π€ Collaboration & Partnerships
|
137 |
+
|
138 |
+
### ποΈ Academic Partners
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+
- Stanford AI Lab
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140 |
+
- MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
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141 |
+
- Oxford Internet Institute
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142 |
+
- Max Planck Institute for Intelligent Systems
|
143 |
+
- University of Toronto Vector Institute
|
144 |
+
|
145 |
+
### π Global Organizations
|
146 |
+
- United Nations AI Advisory Body
|
147 |
+
- World Health Organization AI Initiative
|
148 |
+
- UNESCO Education 2030 Framework
|
149 |
+
- IPCC Climate Modeling Consortium
|
150 |
+
|
151 |
+
### π’ Industry Collaborations
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|
152 |
Critical Future partners with industry leaders across various sectors:
|
153 |
+
- Leading cloud providers for scalable AI infrastructure.
|
154 |
+
- Healthcare institutions for clinical validation.
|
155 |
+
- Educational technology companies for global deployment.
|
156 |
+
- **Trusted by**: Roche, NovusDX, Siemens, Teck Resources, DHL Supply Chain Ltd., and many more leading organizations globally.
|
157 |
|
158 |
+
---
|
|
|
|
|
|
|
|
|
159 |
|
160 |
+
## π Getting Started
|
161 |
|
162 |
+
### π Explore Our Models
|
163 |
+
Access our models directly from Hugging Face for seamless integration into your projects.
|
164 |
+
```python
|
165 |
from transformers import AutoModel, AutoTokenizer
|
166 |
|
167 |
+
# Load a Critical Future model, e.g., Critical-Future/ace-nemo
|
168 |
# Explore more models on our Hugging Face profile: https://huggingface.co/Critical-Future
|
169 |
model_name = "Critical-Future/ace-nemo"
|
170 |
model = AutoModel.from_pretrained(model_name)
|
171 |
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
172 |
|
173 |
+
# Example usage (adjust based on model's specific capabilities)
|
174 |
+
input_text = "What are the key factors influencing climate change?"
|
175 |
inputs = tokenizer(input_text, return_tensors="pt")
|
176 |
outputs = model(**inputs)
|
177 |
+
print(f"Model outputs: {outputs}")
|
178 |
+
```
|
179 |
π Access Our Datasets
|
180 |
+
``` python
|
181 |
from datasets import load_dataset
|
182 |
+
```
|
183 |
# Load our multilingual education dataset
|
184 |
+
```
|
185 |
dataset = load_dataset("criticalfuture/multilingual-edu-corpus")
|
186 |
+
print(f"First example from dataset: {dataset['train']}")
|
187 |
+
```
|
188 |
# Access climate data benchmark
|
189 |
+
```
|
190 |
climate_data = load_dataset("criticalfuture/global-climate-corpus")
|
191 |
+
print(f"First example from climate data: {climate_data['train']}")
|
192 |
+
|
|
|
193 |
Use code with caution.
|
194 |
+
```
|
|
|
195 |
π οΈ Use Our Tools
|
196 |
+
``` bash
|
197 |
# Install our development framework
|
198 |
pip install cfg-trainer
|
199 |
+
```
|
200 |
# Run ethics checking on your model
|
201 |
+
```
|
202 |
python -m cfg_trainer.ethics_check --model your_model_path
|
203 |
IGNORE_WHEN_COPYING_START
|
204 |
+
```
|
205 |
+
|
206 |
+
|
207 |
+
### π Model Cards & Documentation
|
|
|
|
|
208 |
|
209 |
+
All our models come with comprehensive documentation, ensuring transparency and responsible use:
|
210 |
|
211 |
+
# π Model Cards: Detailed specifications, training data, and intended use cases.
|
212 |
|
213 |
+
# βοΈ Ethics Statements: Bias analysis, fairness considerations, and responsible use guidelines.
|
214 |
|
215 |
+
# π§ Technical Documentation: Implementation details, fine-tuning guides, and API references.
|
216 |
|
217 |
+
# π Evaluation Reports: Performance benchmarks, comparison studies, and limitation analysis.
|
218 |
|
219 |
+
# π± Sustainability & Ethics
|
220 |
+
# πΏ Environmental Responsibility
|
221 |
|
222 |
+
Carbon-Neutral Training: All model training is powered by renewable energy.
|
223 |
|
224 |
+
Efficient Architectures: Our models are optimized for reduced computational requirements.
|
225 |
|
226 |
+
Green AI Research: We actively develop techniques to minimize AI's environmental impact.
|
227 |
|
228 |
+
## βοΈ Ethical AI Development
|
229 |
|
230 |
+
Bias Mitigation: Systematic evaluation and reduction of algorithmic bias.
|
231 |
|
232 |
+
Transparency: Open documentation of model capabilities and limitations.
|
233 |
|
234 |
+
Inclusive Design: Ensuring AI benefits all communities and demographics.
|
235 |
|
236 |
+
Privacy Protection: Strong data protection and anonymization practices.
|
237 |
|
238 |
+
## π Community & Contributions
|
239 |
π€ How to Contribute
|
240 |
|
241 |
+
We welcome collaboration from the global AI community:
|
242 |
|
243 |
+
π¬ Research Collaboration: Join our research initiatives and co-author papers.
|
244 |
|
245 |
+
π» Code Contributions: Contribute to our open-source tools and frameworks on GitHub.
|
246 |
|
247 |
+
π Data Sharing: Share datasets that align with our mission (following privacy guidelines).
|
248 |
|
249 |
+
π Issue Reporting: Help us improve by reporting bugs and suggesting enhancements.
|
250 |
+
|
251 |
+
π Documentation: Improve our documentation and create tutorials.
|
252 |
|
253 |
π¬ Community Guidelines
|
254 |
|
255 |
+
Respectful and inclusive communication.
|
256 |
|
257 |
+
Commitment to responsible AI development.
|
258 |
|
259 |
+
Collaboration towards solving global challenges.
|
260 |
|
261 |
+
Recognition of diverse perspectives and expertise.
|
262 |
|
263 |
+
## π Contact & Support
|
264 |
π’ General Inquiries
|
265 |
|
266 |
Website: criticalfutureglobal.com
|
|
|
283 |
|
284 |
Documentation: docs.criticalfutureglobal.com
|
285 |
|
286 |
+
## π± Social Media
|
287 |
|
288 |
Twitter: @criticalfuture
|
289 |
|
|
|
291 |
|
292 |
YouTube: Critical Future AI
|
293 |
|
294 |
+
## π License & Usage
|
295 |
π Licensing
|
296 |
|
297 |
+
Open Source Models: Released under Apache 2.0 License for research and commercial use.
|
298 |
+
|
299 |
+
Research Datasets: Available under Creative Commons licenses with proper attribution.
|
300 |
|
301 |
+
Commercial Tools: Available under enterprise licensing for production deployment.
|
302 |
|
303 |
+
## β οΈ Usage Guidelines
|
304 |
|
305 |
+
Respect model limitations and intended use cases.
|
306 |
|
307 |
+
Follow ethical AI principles in deployment.
|
308 |
|
309 |
+
Acknowledge Critical Future Global in academic publications.
|
310 |
|
311 |
+
Report issues and provide feedback for continuous improvement.
|
312 |
|
|
|
313 |
|
314 |
<div align="center">
|
315 |
|
|
|
330 |
Critical Future Global | Advancing AI for Global Good | Est. 2023
|
331 |
|
332 |
</div>
|
333 |
+
```
|
|
|
|
|
|