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Explore the future of AI with LLMs, LangChain, and Pinecone. Learn to build powerful applications using cutting-edge tools and techniques in this comprehensive workshop led by industry experts.
Explore strategies for reducing hallucinations in LLMs, including RAG, feedback functions, and query planning, to enhance AI reliability and performance.
Discover how semantic search and generative AI revolutionize education, enhancing personalized learning experiences and addressing challenges in EdTech for improved student outcomes.
Explore data preparation essentials for LLMs and Gen-AI, covering Lakehouse AI, vector databases, model challenges, and building custom solutions with ML Flow AI Gateway.
Explore the impact of generative AI and vector databases on business, including market trends, startup activity, and key insights for leveraging these technologies effectively.
Explore cutting-edge user experiences with streaming interfaces and programmable memory in AI-powered web development, featuring insights and demonstrations from Vercel's VP of Product.
Enhance AI model reliability with practical techniques. Build a data-grounded chatbot using Vercel's AI SDK and Pinecone. Learn initialization, dual models, context functions, and more for improved accuracy.
Learn to leverage Jupyter Notebooks for ML and AI tasks, covering setup, security, best practices, and practical applications like semantic search using Pinecone's vector database.
Explore Retrieval Augmented Generation in a production app using TypeScript and Next.js. Learn about document splitting, embedding, context injection, and UI design for improved relevance and auditability.
Build a semantic search engine with TypeScript, exploring concepts and diving into code. Learn about embeddings, compare search methods, and implement key components like CSV loading and indexing.
Explore Pinecone Vercel starter template for building AI chatbots with Retrieval Augmented Generation. Learn about embeddings, vector databases, and web crawling to create more accurate AI applications.
Explore graph-based algorithms for efficient nearest neighbor search, focusing on HNSW. Learn advantages, construction, and practical applications in large-scale search solutions.
Explore vector search applications in retail, including product recognition and recommendations, with insights on overcoming challenges and leveraging tools like NVIDIA Merlin and Pinecone for impactful implementations.
Discover how to enhance semantic search applications using Pinecone and Cohere. Learn to create, index, and utilize sentence embeddings for various use cases through an interactive demonstration.
Explore vector similarity search techniques to combat alert fatigue in cybersecurity, enhancing operational efficiency and decision-making for security analysts.
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