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Explore AI-driven breakthroughs in paclitaxel biosynthesis, covering retrobiosynthesis, microorganism engineering, research areas, and challenges. Gain insights into AI's potential to accelerate drug synthesis advancements.
Explore advanced spectrometric data analysis using Large Multimodal Models to identify complex organic compounds, focusing on (S)-ibuprofen ethylester as a case study.
Explore how Large Multimodal Models analyze chemical spectra to determine organic compounds, focusing on a groundbreaking study using GPT-based models to identify quinoline.
Explore AI's impact on chemical research through spectra and reaction analysis, leveraging Large Multimodal Models for rapid processing and enhanced image-related tasks.
Enhance total synthesis efficiency using LLM and LMM prompts to analyze recent papers, extracting key insights for improved yield, purity, and cost-effectiveness in complex organic molecule production.
Explore how Large Language Models enhance drug discovery through molecular simulation, reaction prediction, and database interaction for individual disease treatments.
Explore diverse LLM approaches in drug discovery GenAI, empowering medicinal chemists to enhance the process through informed prompts and molecule generation techniques.
Explore cutting-edge generative AI techniques for drug discovery, including VAEs, Hugging Face pipelines, and LLM comparisons. Learn to accelerate inference times using C++ and cloud platforms.
Explore local hosting of generative AI models, comparing LLMs and LMMs for image processing, code generation, and multimodal tasks using various platforms and tools.
Explore cutting-edge GenAI techniques through live demos of RAG, RAPTOR, Agent, and Finetuning. Witness multimodal capabilities and gain hands-on experience with advanced AI models and tools.
Optimize C++ for generative AI inference, enhancing speed and control. Explore techniques to boost performance and gain precise command over AI model execution in production environments.
Explore on-device GenAI capabilities for lead optimization in drug discovery using Apple devices. Learn about performance, speed, and memory for running AI models locally.
Explore platforms for creating APIs from Large Language Models to enhance drug discovery workflows. Learn to increase efficiency, reduce errors, and lower costs through synchronization and automation.
Explore advanced drug discovery using LangChain's AI tools. Compare GPT models, optimize workflows, and leverage generative AI for pharmaceutical innovation.
Explore AI agentic workflows for cancer drug discovery, leveraging advanced automation techniques to enhance compound lead generation and streamline the R&D process.
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