Are you ready to advance chemical risk assessment using the power of open source Large Language Models (LLMs)? Join us in our exploratory hackathon that aims to promote fair access to open-source LLMs and address critical challenges in the field of Chemical Risk Assessment.
Unleash the Potential of LLMs: In recent years, Large Language Models have emerged as impactful drivers across various domains. These models exhibit few-shot learning capabilities, achieving advancements in tasks like Entity Recognition, language translation, standardized exams, coding challenges, and chatbot development. Now, we’re inviting you to leverage the capabilities of Open Source LLMs for chemical risk assessment.
Application Guidelines: To secure your spot in the hackathon, current membership with the OpenTox Association is a prerequisite. Kindly note that only 30 applicants will be selected for participation in this hackathon.
· For Existing Members: If you’re already an OpenTox Association member, please proceed to [Event registration] for the hackathon.
· For Prospective Members: If you’re interested in membership details and offers, we invite you to explore more on our [https://www.opentox.net/opentox-association] and apply for membership. Following your successful membership application, you’ll then be eligible to join our online event.
Hackathon Challenges:
1. AI-Driven Literature Search in Molecular Biology and Pharmacology
2. AI-Enhanced Dynamic Knowledge Graph Generation for Chemical Risk Assessment
3. Knowledge-Driven LLMs Fine-Tuning to Unleash EU-ToxRisk Insights
4. We’re also happy to discuss other challenges on a case-by-case basis.
Why Join the OpenToxAI Hackathon?
· Network of Excellence: Connect with peers who share your zeal for knowledge and innovation. Forge connections that could catalyze future collaborations and open doors to exciting opportunities.
· Skill Enrichment: Regardless of your level of expertise, participating in our OpenToxAI Hackathon will equip you with new skills that have the potential to transform industries and create lasting impact.
· Showcase your expertise by fine-tuning a foundation model for chemical risk assessment tasks with high accuracy and efficiency.
· Empower the Machine Learning community with documented insights and steps, enabling them to replicate successful approaches and build their own LLM solutions.
· Contribute to a movement that democratizes access to cutting-edge LLMs, reshaping the landscape of chemical risk assessment for broader societal impact.
Prizes: Beyond the knowledge gained, you will earn recognition for your contributions. Promising results will be considered for further development, publication, and dissemination at the OpenTox 2023 virtual conference.
Supporting Diversity: We’re pleased to announce that we’re offering competitive bursaries for individuals from developing countries. To apply for these opportunities, please visit [https://www.opentox.net/bursary-awards].
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