
Explore applications of language models and generative AI in corporate settings, boosting productivity and customer experience while preserving proprietary data.

Empower your apps with AI using vector databases. Learn hands-on techniques for enhanced search, generative AI integration, and improved model capabilities through open-source tools and technologies.

Explore Koopman Operator Theory for machine learning of dynamical systems, covering applications in fluid dynamics, power grids, network security, and more.

Explore innovative functional tokens for on-device multimodal AI models, enhancing accuracy and efficiency in function calling tasks while achieving remarkable performance across languages and modalities.

Learn to leverage transformers for AI applications like auto-completion, semantic search, and document AI using open-source tools and models. Explore embeddings, Generative AI, and emerging trends in multimodal and large language models.

Explore generative AI's impact on knowledge work, learn to apply models for business solutions, and gain hands-on experience in automation techniques.

Explore efficient video understanding and generative models, focusing on techniques for deploying neural networks on resource-constrained devices and optimizing deep learning applications.

Explore efficient video understanding and generative models, focusing on techniques for deploying neural networks on resource-constrained devices and optimizing deep learning applications.

Explore diffusion models in machine learning, covering theory, applications, and efficient implementation techniques for advanced AI image generation.

Explore diffusion models in-depth, covering theory, applications, and efficient implementation techniques for advanced machine learning practitioners.

Explore quantum machine learning algorithms for medical research, focusing on GPU execution, data embedding, trainable parameters, and architectures addressing technological limits in various medical datasets.

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

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.

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.

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.

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

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.

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 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.

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 speech generative models, including Voicebox, and their applications in multilingual TTS, style conversion, and content editing. Learn about scalable approaches for audio AI.