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India banned Telegram after the NEET paper leak led to a retest for 2.28 million students. Class Central studied the scam, the money trail, and other platforms the leaks could move to.
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Introduction to Research Ethics: Working with People
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Rome: A Virtual Tour of the Ancient City
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Explore how Model Context Protocol (MCP) simplifies AI agent integration with real-world tools, enabling 35,000+ actions across 7,000+ apps without coding through live demos and workflow strategies.
Dive into advanced evaluation strategies for AI agents, exploring reasoning paths, multi-agent collaboration, and agent-as-judge techniques using Arize Phoenix for transparent assessment of agentic systems.
Explore Azure OpenAI's advanced capabilities for building enterprise-grade Q&A chatbots. Learn fine-tuning techniques to enhance natural language processing and improve customer support at scale.
Explore data storytelling with industry experts as they discuss visualization techniques, audience engagement, and emerging trends to effectively communicate insights across various fields.
Explore the latest trends, ethical considerations, and societal impacts of generative AI with industry experts. Gain insights into its applications, challenges, and future potential across various sectors.
Overview of distributed system design principles for data engineering, covering partitioning, replication, fault tolerance, and scalability. Includes real-world examples and best practices for building robust, large-scale data systems.
Unlock AI's potential by building a personalized chatbot with Llama Index. Learn step-by-step techniques for creating custom prompts and leveraging advanced AI technology in this hands-on tutorial.
Explore Retrieval-Augmented Generation (RAG) for LLM applications, covering design patterns, knowledge embedding, vector databases, and practical insights for technical architects and business leaders.
Explore AI observability for large language models, covering LLMops, validation, prompts, response stability, and user interaction. Gain insights for leveraging LLMs safely and effectively.
Explore LLM concepts, prompt engineering, and augmented LLMs to build AI applications. Gain hands-on experience and expert insights into the cutting-edge world of Language Models.
Explore emerging architectures for LLM applications, covering embeddings, vector databases, prompt engineering, and customization techniques to build powerful AI-driven solutions.
Explore the connection between REST APIs and SQL queries, learning to transform raw data into structured information for analysis and decision-making in this comprehensive tutorial.
Comprehensive introduction to building LLM-powered applications, covering foundations, advanced techniques, and hands-on projects. Ideal for AI enthusiasts and professionals seeking practical skills in generative AI.
Explore key challenges in building enterprise LLM applications, including misaligned behavior, context length, cost, latency, reproducibility, and evaluation. Learn strategies to overcome these obstacles.
Strategies for managing AI cloud costs, optimizing infrastructure, and maximizing ROI in AI initiatives. Learn from industry experts about cost-effective approaches for profitable AI products and services.
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