October 14, 2023

October 13, 2023

October 15, 2023

  • Tools

    How to use Google Search’s new Dall-E-like AI image generator

    The Indian Express, 10/14/23. Google has introduced a new feature called the Search Generative Experience (SGE) tool, which allows users to create images from text prompts. This feature, available to users in Google’s Search Labs program, utilizes AI models from the Imagen family to generate images based on user queries. Similar to Microsoft’s Bing Image Creator, which also uses AI models to create images, Google’s SGE has safeguards in place to prevent the generation of harmful or inappropriate content. The tool also includes metadata labeling and watermarking to indicate that the images were created by AI. Additionally, SGE now has the ability to generate written drafts from text prompts. READ THE ARTICLE

  • Jobs

    Worried AI Will Take Your Job? The History Of ATMs & Microsoft Excel Can Give You Hope

    Indiatimes, 10/14/23. The fear of AI taking away jobs is growing, but history shows that new technology often creates new job opportunities. For example, when spreadsheets like Microsoft Excel were introduced in the 1980s, the number of bookkeepers decreased, but there was a significant increase in accountants, auditors, and financial managers. Similarly, the introduction of ATMs was predicted to eliminate bank teller jobs, but it actually made it cheaper to operate branches and increased demand for tellers. While job displacement is a concern, it is important to focus on helping individuals develop new skills to adapt to technological disruptions. READ THE ARTICLE

  • Research

    Penetrative AI: Making LLMs Comprehend the Physical World

    arXiv, 10/14/23. The essay explores the integration of Large Language Models (LLMs) with IoT sensors and actuators, termed “Penetrative AI.” It examines how LLMs can interact with and reason about the physical world through sensory signals. The study finds that LLMs, specifically ChatGPT, show proficiency in using their learned knowledge to interpret IoT sensor data and reason over tasks in the physical realm. This opens new applications for LLMs beyond text-based tasks and allows for the incorporation of human knowledge in cyber-physical systems. READ THE ARTICLE

  • Agents

    AutoGen is Mindblowing: 4 Features that Make AutoGen the State-of-the-art Framework for Creating AI Agents.

    Towards AI, 10/14/23. LLM-powered autonomous agents are revolutionizing the capabilities of Large Language Models. They are more powerful due to two reasons: single AI agents are more powerful than standalone Large Language Models, and multiple AI agents working together are even more powerful. Consequently, AI agents working together yield the best results from Large Language Models today. AutoGen, a leading LLM Agent framework, possesses incredible features that give it an edge over the competition. To fully comprehend these features, it is essential to understand the basics, including the difference between LLM agents and LLMs alone. READ THE ARTICLE

  • Models

    In-Depth Guide to 5 Types of Conversational AI in 2023

    AI Multiple, 10/14/23. Conversational AI refers to software that enables users to have interactive conversations, whether through chatbots, social messaging apps, smart devices, or digital workers. These solutions provide support, answer questions, and help complete tasks remotely. There are various types of conversational AI, such as AI chatbots, rule-based chatbots, hybrid chatbots, voice assistants, and interactive voice assistants. Each type has its own advantages and characteristics. For example, AI chatbots use machine learning and natural language processing to generate their own answers, while rule-based chatbots follow predefined rules. Voice assistants convert voice commands into machine-readable text and perform programmed tasks. Interactive voice assistants allow callers to interact with computer-operated phone systems. These conversational AI technologies have proven to be beneficial in different industries, from improving customer experiences in banking to increasing transcription efficiency in research studies. It is important for organizations to understand the different types of conversational AI and choose the ones that best fit their needs. READ THE ARTICLE