
Explore LangChain4j to create AI-powered Java applications using LLMs. Learn to build chatbots, process unstructured data, and automate tasks with various AI services and tools. Gain hands-on experience with key integrations and fundamental concepts.

Explore AI-human collaboration in game development, learning effective communication with AI and pushing creative boundaries through an extended machine-human conversation.

Explore building AI applications with LLMs using Quarkus and Langchain4j. Learn data ingestion strategies and integration with Apache Camel for comprehensive resource utilization in Java-based AI development.

Explore the evolution, creation, and societal impact of generative AI and large language models like ChatGPT with expert Mirella Lapata in this comprehensive overview.

Uncover AI agent mechanics and learn a basic pattern to build your own without intermediate libraries. Gain practical insights for custom AI development.

Discover how FlightAware combines LLMs and LangGraph to create an intelligent chatbot interface for flight searches, featuring practical implementation examples and workflow orchestration techniques.

Discover how to build intelligent AI agents by combining large language models with big data, exploring practical implementation strategies and real-world applications.

Discover how to build robust AI systems using Hugging Face's open models and Kedro pipelines, moving beyond commercial AI to create customizable and transparent machine learning solutions.

Discover how Robusta integrates with ChatGPT to streamline Kubernetes troubleshooting, interpret alerts, and implement quick fixes for infrastructure and application issues.

Explore groundbreaking research challenging assumptions about language models' ability to learn impossible languages through systematic experiments with synthetic language variations and GPT-2.

Discover how large language models and BERT transformers can detect and prevent unconscious biases in AI systems, achieving 98.7% accuracy across diverse data sources and cultural contexts.

Explore the evolution of large multimodal AI models and their transition from text prediction to real-world applications, emphasizing safety alignment and human-centric design principles for autonomous systems.

Discover how to optimize text classification for construction tenders using fasttext models and BERT, achieving improved accuracy through category merging and probability thresholds for product and supplier predictions.

Explore how machine learning and Facebook data analysis can predict election outcomes, examining privacy concerns, algorithmic bias, and the impact on voter behavior.

Explore the evolution of AI beyond ChatGPT, examining its historical roots, current capabilities, limitations, and ethical implications for human-AI coexistence in this thought-provoking keynote.

Discover the fascinating history of Croatian AI pioneers and their groundbreaking 1950s machine translation system, exploring parallels with modern transformer models like BERT and GPT.

Master prompt engineering and ChatGPT integration for automated testing, focusing on Playwright implementation, self-testing mechanisms, and practical DSL development for UI and API test generation.

Master the creation of AI chatbots using OpenAI and LangChain through hands-on guidance. Learn API interactions, conversation state management, and practical implementation techniques for building intelligent conversational agents.

Master LangChain framework fundamentals and build practical applications with large language models, including document-based Q&A chatbots and natural language database query assistants.

Discover comprehensive strategies for creating instruction datasets and fine-tuning LLMs, from basic concepts to advanced techniques for both coders and non-coders in AI model development.

Master GGUF quantization techniques to run large language models efficiently on personal devices using LLAMA.cpp, enabling GPU-free inference and deployment on laptops, phones, and watches.