ChemicalQDevice Courses

LangChain Suite for Advanced Drug Discovery Generative AI Workflows

Explore advanced drug discovery using LangChain's AI tools. Compare GPT models, optimize workflows, and leverage generative AI for pharmaceutical innovation.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Cancer Drug Discovery AI Agentic Workflow R&D

Explore AI agentic workflows for cancer drug discovery, leveraging advanced automation techniques to enhance compound lead generation and streamline the R&D process.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Meta Llama 3 for Drug Discovery - Generative AI Assistant Developments

Explore advanced techniques for modifying Meta Llama 3 for drug discovery, including fine-tuning, RAG implementation, and agentic behavior enhancement for improved accuracy and capabilities.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Meta Llama 3 Fine-Tuning, RAG, and Prompt Engineering for Drug Discovery

Explore advanced techniques to enhance Llama 3's performance in drug discovery using fine-tuning, RAG, and prompt engineering. Gain insights into improving domain-specific AI responses for pharmaceutical research.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

Drug Discovery Generative AI: End-to-End De Novo Proteins and Tensor Networks

Explore advanced protein design using generative AI, focusing on a novel diffusion model for creating proteins with specific mechanical properties. Learn about model architecture and potential tensor network enhancements.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Drug Discovery Generative AI Using Tensor Network GPT or BERT

Explore generative AI applications in drug discovery using GPT and BERT models, focusing on ProtGPT2 for protein sequence generation and ProtBert for protein structure analysis.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

How to Re-Code LLMs Layer by Layer with Tensor Network Substitutions

Explore strategies for recoding Large Language Models using tensor network substitutions to enhance explainability, compression, and performance on smaller devices.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

LLM Explainability and Controllability Improvements with Tensor Networks

Explore how Tensor Networks enhance explainability and controllability of Large Language Models, focusing on transformer self-attention and multi-layer perceptron layer modifications.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Tensor Networks vs. PCA and PLS for High Dimensional Medical Datasets

Explore dimensionality reduction techniques for high-dimensional medical data. Compare tensor networks with PCA and PLS, gaining insights on their applications and effectiveness in handling complex datasets.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

FDA Good Machine Learning Practice Guidelines and Practical Quantum-inspired Machine Learning 2.0

Explore FDA guidelines for AI/ML in medical devices and quantum-inspired machine learning approaches. Gain insights into safe, effective implementations and recent approvals for medical analysis.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

QiML 2.0: Speed-Ups, Scalability, and Performance for New Machine Learning Era

Explore quantum-inspired machine learning advancements, including dequantized algorithms, tensor network approximations, and scalability improvements for healthcare applications and complex systems.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Surpassing the Competition with 3 Quantum-Inspired Algorithm Frameworks

Explore cutting-edge quantum-inspired algorithms for machine learning, including dequantized algorithms, tensor networks, and quantum algorithms. Gain insights into their strengths, weaknesses, and potential applications.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Medical Quantum-inspired Machine Learning Software Migration

Explore quantum-inspired machine learning for medical data analysis, covering tensor networks, variational algorithms, and dequantized approaches. Gain insights into QiML benefits and limitations.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Quantum Algorithm Time Complexity Analysis and Future QML/QiML

Analyze quantum algorithm time complexity and explore future developments in quantum machine learning, with insights from leading researchers.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Effective Quantum ML Algorithm Implementations for Medical R&D

Explore quantum AI algorithms for medical R&D, focusing on embeddings, variational layers, and GPU implementations to enhance traditional approaches.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video