Generative AI

  1. "The State of AI in Early 2024" - McKinsey & Company
    This article provides a deep dive into how generative AI is being adopted across various industries and its impact on business functions like human resources, supply chain management, and marketing. It also highlights the emerging risks associated with generative AI, such as inaccuracies and intellectual property concerns.

  2. "Generative AI as a General-Purpose Technology" - MIT Sloan
    MIT Sloan discusses how generative AI is rapidly becoming a transformative general-purpose technology, similar to the steam engine or the internet. The article explores its potential to accelerate economic growth by improving productivity and enabling new innovations across industries.

  3. "Top Generative AI and LLM Insights: August 2024" - Galileo
    This roundup covers the latest developments and challenges in building large language models (LLMs) and generative AI applications. It includes insights on handling issues like hallucinations in AI models and optimizing AI-driven retrieval methods.

  4. "The 10 Biggest Generative AI Trends for 2024" - Bernard Marr
    Bernard Marr outlines key trends expected to shape the landscape of generative AI in 2024. These include the development of even larger AI models, the increased use of generative AI in political campaigns, and the growing importance of AI governance to manage associated risks.

  5. "Five Generative AI Trends to Watch in 2024" - TechTarget
    This article discusses emerging trends such as the rise of more autonomous AI agents, the proliferation of multimodal models, and the critical need for AI governance in organizations as generative AI becomes more embedded in business operations.

 

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