Recent Breakthroughs in AI

Recent breakthroughs in AI have been highlighted by advancements in large language models (LLMs) like GPT-3 and GPT-4, which have transformed natural language processing, enabling applications in text generation, translation, and summarization. These models are developed by major tech companies such as OpenAI, Google, and Meta, alongside numerous open-source models available on platforms like Hugging Face, which hosts over 900,000 models. In image generation, tools like DALL-E, Midjourney, and Stable Diffusion have gained popularity, allowing users to create high-quality visual content, sparking discussions about copyright, ownership, and AI’s role in creative processes

Large Language Models (LLMs)

  • The emergence of GPT-3, GPT-4, and other advanced LLMs

  • All have major capabilities in natural language processing and generation

  • Demonstration: show ChatGPT or similar tool for interactive conversation

    • ai: Compare Perplexity vs. Claude vs. ChatGPT

      • While Perplexity AI is superior for research and current information retrieval, Claude AI shines in technical and creative tasks, and ChatGPT offers versatility and customization options. The choice among these three depends on the specific needs of the user or business.
      • Perplexity AI, Claude AI, and ChatGPT are advanced language models with distinct strengths, making them suitable for different use cases.
      • ChatGPT
        • …is a versatile, general-purpose AI assistant. Its best use cases include:
          • Customization and integration: ChatGPT allows for creating custom GPTs and integrating with various tools, making it highly adaptable for specific needs[2].
          • Content generation: It’s effective for creating articles, social media posts, and other written content[2].
          • General queries and conversations: ChatGPT excels in handling a wide range of topics and engaging in natural dialogue[3][4].
      • Perplexity AI
        • …excels in providing detailed, context-aware answers with multiple source citations. Its best use cases include:
          • In-depth research: Ideal for academic or professional inquiries requiring comprehensive, well-sourced information[2][3].
          • Real-time information retrieval: Perplexity has internet access, allowing it to provide up-to-date information on current events and topics[1][3].
          • Fact-checking: Its ability to cite multiple sources makes it valuable for verifying information[2].
      • Claude AI
        • …is known for its conversational fluency and technical capabilities. Its best use cases are:
          • Creative writing: Claude’s ability to generate human-like responses makes it well-suited for creative tasks[4].
          • Programming and technical tasks: Claude performs exceptionally well in coding and software development[4].
          • Document analysis: It can effectively break down and analyze uploaded documents for research or study purposes[1].

    • AI Models demo: Live links

      Click any of the following to open the chat dialog of the AI model:

Image Generation

  • Lots of advancements in AI-powered image creation
  • Notable tools: DALL-E, Midjourney, Stable Diffusion (but there are MANY others)

  • Demonstration: Generate an image using one of these tools

    • Using DALL-E: the following was generated directly from within this tool with the prompt:

      • a pink elephant sitting on a green lily pad

      • 💡 Note: All the banner images in this presentation were created using DALL-E directly from within this Tana environment.

  • Videos

Tana logo