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5 Minutes
Anzhella Pankratova
Content Author at OpenCV.ai
AI Weekly Insights: Boston Dynamics Integrates GPT-4, ChatGPT Upgrade
Digest 9 | OpenCV AI Weekly Insights
In this week's AI update, we bring you the latest developments in the tech world: Boston Dynamics' integration of OpenAI's GPT-4 into Spot, the robot dog, enhancing its conversational capabilities; Amazon's beta testing of AI image generation tools for advertisers; Google's $2 billion investment in Anthropic, and more.
October 30, 2023
Welcome to the OpenCV AI Weekly Insights Digest!
We strive to keep you up to date with the latest advancements and news in the field of Artificial Intelligence. Whether you're deeply steeped in the topic of artificial intelligence or just beginning your journey, our review is designed to inform and motivate you 🚀.
Are you ready to navigate this week's discoveries in the field of AI? Experience the world of AI to find out what innovations are changing the landscape of AI!
Boston Dynamics Enhances Spot Robot with GPT-4
Image Source: Boston Dynamics
Boston Dynamics has integrated OpenAI GPT-4 into its Spot robot. This integration includes the addition of a Bluetooth speaker, microphone, and a camera-equipped arm that emulates a talking mouth, providing the robot dog with a form of body language. GPT-4, combined with Visual Question Answering (VQA) datasets and OpenAI's Whisper speech recognition software, equips Spot with the capability to engage in lifelike conversations with humans. Spot's newfound ability to recognize individuals during conversations further enhances its interactive potential.
In the course of experiments, Boston Dynamics discovered Spot's amazing abilities. The robot is able to creatively answer questions, even if it was not programmed to do so. For example, when answering a question about the founder of Boston Dynamics, Spot humorously redirected the query to IT support, which was not explicitly stated in the prompt. In addition, Spot is adept at supporting a given character by making character-appropriate remarks during interactions.
This development marks a significant step in the field of human-robot interaction.
OpenAI has introduced an upgrade to its ChatGPT, powered by GPT-4, by combining various GPT-4 models into a "supermodel." This enhancement enables ChatGPT to independently determine the most effective way to assist users. Additionally, OpenAI is preparing an update for ChatGPT, allowing users to upload PDFs and various other file types. Once uploaded, ChatGPT can engage in discussions and provide insights on the content, including aspect extraction and explanations.
This update goes hand in hand with a second noteworthy feature of GPT-4, which is its ability to automatically select the tools required to perform specific tasks. These tools include alternative models like GPT-4 with Browsing, Advanced Data Analysis, and DALL-E 3. While manual model selection remains possible, the autonomous tool selection in GPT-4 simplifies the process, which is consistent with OpenAI's vision of creating language models capable of autonomously using tools to extend their utility after initial training.
Amazon Tests AI Image Generation for Ad Creativity
Image Source: Amazon
Amazon is currently in the beta testing phase of AI image generation tools designed for its advertisers. This innovation provides a convenient solution for brands looking to create engaging backgrounds or scenes for their product ads, overcoming the limitations of static white background images.
Amazon's new feature aims to improve ad performance by allowing advertisers to place products in lifestyle scenes, potentially boosting click-through rates by up to 40 percent. The tool is user-friendly and accessible to advertisers of all sizes, offering a hassle-free way to generate brand-themed imagery, even if they lack in-house capabilities or agency support. However, as with most AI-generated content, there may be some subtle imperfections, as highlighted in Amazon's own example.
Google Commits $2 Billion Investment in AI Startup Anthropic
Image Source: CNBC
Google has confirmed a significant investment of up to $2 billion in Anthropic, an artificial intelligence company founded by former OpenAI leaders. The financial commitment includes an initial cash investment of $500 million and a further $1.5 billion to be invested over time.
Anthropic is known for its development of Claude 2, a chatbot that competes with OpenAI's ChatGPT and is used by companies such as Slack, Notion and Quora. The startup, founded in 2021, has previously received funding from Salesforce and Zoom and is valued at $4.1 billion.
Claude 2 does an excellent job of summarizing lengthy content, handling up to 75k words, which compares favorably to ChatGPT's roughly 3k words. In addition, Claude 2 has been recognized in studies as a robust self-analysis system among chatbots. Google's continued investment mirrors the growing demand for advanced language models in the AI industry, providing great development opportunities for multiple players.
Thanks for joining us in this edition of OpenCV AI Weekly Insights Digest. We're thrilled to be your AI news source, and we're eager to share the latest gems with you!
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Computer Vision in Sports: People Train and Compete — Machines Watch and Help
At the upcoming 2024 Olympic Games in Paris, the world will see the most advanced AI and computer vision systems for sports developed by Intel. These systems will not only help capture athletic performance with millimeter and millisecond accuracy but also create 3D models of athletes for replays and analyzing complex situations. The data and models will be available to both referees and spectators.
Artificial intelligence and computer vision systems in sports are no longer a high-tech novelty but an everyday reality. People train, challenge, and watch others compete — and hundreds of tech companies are helping to make it safer and more efficient. And more fun, too!
April 16, 2024
Which GPUs are the most relevant for Computer Vision
In the field of CV, selecting the appropriate hardware can be tricky due to the variety of usable machine-learning models and their significantly different architectures. Today’s article explores the criteria for selecting the best GPU for computer vision, outlines the GPUs suited for different model types, and provides a performance comparison to guide engineers in making informed decisions.
April 12, 2024
Digest 19 | OpenCV AI Weekly Insights
Dive into the latest OpenCV AI Weekly Insights Digest for concise updates on computer vision and AI. Explore OpenCV's distribution for Android, iPhone LiDAR depth estimation, simplified GPT-2 model training by Andrej Karpathy, and Apple's ReALM system, promising enhanced AI interactions.
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