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Discover the open weights AI landscape, exploring what models are downloaded, used, and their evolving applications from Featherless.ai's CEO perspective.
Explore academic literature to enhance AI agent performance through systematic research methods and evidence-based improvements for better productivity outcomes.
Explore how tool calling enables AI agents to connect systems, access data, and perform tasks effectively through well-designed APIs with proper authentication and security.
Explore the balance between making AI agents approachable and avoiding unrealistic expectations through thoughtful anthropomorphism strategies.
Explore how generative AI agents are reshaping organizational structures, workflows, and job roles, from basic copilots to potentially running entire businesses.
Master the LLM Triangle framework to build production-ready AI applications that overcome hallucinations, inconsistency, and scalability challenges through proven engineering principles.
Discover practical strategies for integrating GenAI into applications while managing costs, validating outputs, and implementing chatbots to agents effectively.
Discover why AI agents aren't just hype as Chip Huyen debunks misconceptions and reveals their true potential in this insightful keynote presentation.
Discover how Modal revolutionized AI infrastructure by abandoning Kubernetes and Docker to build a custom container system that prioritizes exceptional developer experience.
Discover how to build production-ready GenAI applications using Azure AI Search's advanced RAG capabilities, featuring latest updates on storage, retrieval control, and re-ranking improvements.
Explore AI music generation tools like Suno and Udio to create custom loops, samples, and full songs through hands-on practice with prompt engineering techniques and ethical considerations.
Discover how to build ultra-fast voice AI bots with 500ms response times using self-hosted speech processing, WebRTC routing, and optimized pipeline configurations for minimal latency.
Discover how to build an AI assistant that makes phone calls using Convex vector database, Google Cloud speech-to-text, GPT-4, Twilio, and audio streaming technologies.
Master fine-tuning open source models like Llama 3 for specialized tasks, achieving 60x cost reduction while matching proprietary model quality through dataset curation and production deployment.
Discover why adversarial ML attacks still outpace defenses after a decade and learn practical strategies to protect neural networks and multimodal LLMs from imperceptible input manipulations.
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