
Explore LLM vulnerabilities, attacks, and defenses. Learn about prompt injections, output handling, and jailbreaking. Discover secure practices for AI implementation and see real-world examples.

Explore LLM observability maturity in AWS, from foundational concepts to advanced AIOps, covering metrics, performance, security, and best practices for effective implementation.

Explore Kappa architecture, stream processing, and LLM integration for innovative application development. Learn to build scalable systems leveraging real-time data and AI capabilities.

Explore semantic vector applications in travel marketplaces for improved recommendations, ranking, and ad optimization. Learn about evolving algorithms and practical advice for implementation.

Explore building recommendation systems using vector search, focusing on Ref2Vec for user representation and bipartite graphs for user-product connections. Learn to enhance e-commerce experiences through advanced search techniques.

Explore the evolution of deep learning models, focusing on graphs and transformers as fundamental building blocks in modern AI architectures for natural language, protein research, and image generation.

Explore how Graphcore's Intelligence Processing Unit accelerates AI development, focusing on BERT optimization and implementation using Spell's Cloud MLOps platform and HuggingFace tools.

Explore practical applications of transformers with minimal examples for various scenarios, enhancing your understanding of this innovative data analysis tool.

Uncover challenges and strategies for managing Large Language Models in production. Learn to detect hallucinations, minimize risks, and optimize performance through continuous monitoring and AI observability.

Explore vector and hybrid search in Elasticsearch, covering classic search limitations, models, implementation, and integration with LLMs like ChatGPT for enhanced data retrieval.

Explore advanced AI systems using MoE, multimodality, and agent crowds. Learn techniques for building composite intelligent systems beyond single algorithms or models.

Discover best practices for prompt engineering, learn to chat confidently with LLMs, and explore AI solution examples in this introductory-level talk.

Enhance RAG systems and deploy LLM applications rapidly using AWS lambda aliases. Learn to evaluate production systems and overcome LLM limitations for safer, faster iterations.

Explore how AI tools like GitHub Copilot and ChatGPT can enhance the process of learning Python, with insights and stories to apply to your own tech learning journey.

Explore strategies to compromise LLM detectors using synonym replacement and instructional prompts, revealing vulnerabilities in text detection systems and emphasizing the need for robust safeguards.

Explore creative ML evolution in arts, observing model biases and future impacts on creative fields and popular culture through an artist's reflective perspective.

Explore machine learning methods for improving ESG scores and responsible investment decisions. Learn to extract and analyze ESG information from company disclosures using NLP techniques.

Explore efficient language generation by converting pretrained transformers to RNNs, improving speed without sacrificing accuracy through a swap-then-finetune approach.

Master prompt engineering techniques to enhance AI problem-solving. Learn 7 key tricks and explore practical applications using LangChain for building AI-powered solutions.

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

Explore neurosymbolic AI's potential in story generation and D&D gameplay. Discover how combining neural networks with symbolic methods enhances AI robustness and improves accessible communication.