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Probability - The Science of Uncertainty and Data
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Discover how to build a personal AI assistant that knows you by downloading your transaction data from major platforms to create immediate, personalized assistance without extensive user input.
Discover how to transform open-source models into domain-specific financial LLMs through continual pre-training, fine-tuning, and preference optimization for reliable task execution.
Explore hardware requirements and system design challenges for next-generation frontier AI models with semiconductor industry insights from SemiAnalysis founder Dylan Patel.
Discover Gemma and Gemini model capabilities, learn to build LLM applications using Google Cloud's Vertex AI with practical model tuning and deployment examples.
Discover when to use prompting vs fine-tuning in GenAI through the maturity curve framework, with concrete triggers to guide your AI development decisions.
Explore GitHub Next's latest innovations including Copilot Workspace, a revolutionary copilot-native development environment designed to streamline everyday coding tasks and workflows.
Explore cutting-edge RAG techniques with MongoDB's Vector Search, Parent Child Retrieval Strategy, and Search Nodes to build scalable AI-powered applications efficiently.
Discover practical techniques for building robust LLM evaluations from scratch, with real-world examples and latest research on foundation model selection for enterprise use cases.
Discover how autonomous AI agents are progressing toward replacing human jobs and their role as stepping stones to Artificial General Intelligence from Zeta Labs founders.
Discover how to build efficient hybrid context queries for LLM grounding using GraphQL APIs to handle complex multi-source data retrieval in GenAI applications.
Explore ethical challenges, technical debt, and deployment complexities of Large Language Models in production environments with practical engineering solutions.
Explore how Tinder combats harassment, scams, and harmful content using AI models, hybrid datasets, parameter-efficient fine-tuning, and real-time serving at global scale.
Discover how AI transforms CI/CD pipelines to automatically improve code readability, security, and quality with minimal manual intervention and practical integration techniques.
Discover best practices for rapid LLM app evaluation and iteration at scale, featuring Discord's engineering insights on development workflows, risk mitigation, and automation strategies.
Explore Mistral AI's open-source LLMs including Mixtral 8x7B and 8x22B, their mixture-of-experts architecture, training strategies, and API usage in this 18-minute expert presentation.
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