Stanford Researchers Present AI Framework to Implement and Validate Complex Algorithms
Parsel, an AI framework created by a group of researchers at Stanford, uses large language model (LLM) reasoning to transform hierarchical functions descriptions in natural language into an implementation in code. Additionally, the researchers maintain, Parsel can be used for robot planning and theorem proving.
Microsoft Wants to Use ChatGPT to Control Robots through Language
In a recent paper, researchers at Microsoft Autonomous Systems and Robotics Group showed how OpenAI’s ChatGPT can be used for robotics applications, including how to design prompts and how to direct ChatGPT to use specific robotic libraries to program the task at hand.
GitHub Enhanced Copilot with New AI Model and Security-Oriented Capabilities
GitHub Copilot adopted a new AI model which is both faster and more accurate than the previous one, says GitHub. Additionally, GitHub has started using AI to detect vulnerabilities in Copilot suggestion by blocking insecure coding patterns in real-time.
Microsoft Semantic Kernel Enables LLM Integration with Conventional Programs
Microsoft has open sourced Semantic Kernel (SK), a lightweight SDK enabling the integration of large language models (LLMs) with conventional programs which can leverage prompt templating, vectorized memory, intelligent planning, and other capabilities.
HuggingGPT: Leveraging LLMs to Solve Complex AI Tasks with Hugging Face Models
A recent paper by researchers at Zhejiang University and Microsoft Research Asia explores the use of large language models (LLMs) as a controller to manage existing AI models available in communities like Hugging Face.