Community Picks·2yGoogle's Answer to ChatGPT Arrives in Gemini [Here's How To Access It]
Gemini is Google's rival to ChatGPT, offering advanced conversational abilities. It comes in three variants and Gemini Ultra outmatches GPT-4 across benchmark tests. Gemini has multimodal learning capabilities and aims to absorb sensory inputs like touch and sound. Gemini Pro is currently public-facing, while Gemini Ultra will be released in 2024.
Stack Overflow Blog·2ySelf-healing code is the future of software development
Large language models have the ability to improve their output through self-reflection, which is beneficial in software development and CI/CD. Self-healing code is being explored as a way to automate solutions and improve code quality. However, there are concerns about the quality and volume of code generated by AI. Companies will need to develop best practices to effectively use generative AI in software engineering.
KDnuggets·2y25 Free Courses to Master Data Science, Data Engineering, Machine Learning, MLOps, and Generative AI
Discover a collection of top free courses to master data science, data engineering, machine learning, MLOps, and generative AI. Enhance your skills and embark on a new career with flexible and accessible learning opportunities.
SD Times·2yVercel’s generative AI tool for creating UI components is now generally available
Vercel's v0 is a generative AI tool that simplifies website design and development by allowing users to create UI components based on prompts. It uses open-source tools like React, Tailwind CSS, and Shadcn UI to provide starting points for components, which can be edited.
Stack Overflow Blog·2yWhat is UI 2.0? Netlify CEO Matt Biilmann explains
Developers are integrating AI into their workflow for automation, knowledge sharing, and productivity. However, AI experimentation comes with challenges such as incorrect answers, security issues, lack of regulation, and decreased code quality. UI 2.0 is a concept of customizing app UIs for each user.
NVIDIA·2y2024 AI Predictions
Enterprises are expected to harness the power of generative AI in 2024 to revolutionize productivity, innovation, and creativity. Customized generative AI applications using proprietary data will become more common in businesses. Open-source pretrained models will be combined with private or real-time data to accelerate productivity and cost benefits. Off-the-shelf AI models will be customized using AI microservices. Collaboration among AI organizations will lead to the development of standardized AI safety protocols. The automotive industry will utilize generative AI for design, shopping experiences, and AV development. Networking efficiency and performance will be emphasized in order to support accelerated computing with GPUs. The financial services industry will adopt an AI-first approach. Physics-ML will be used in energy companies to accelerate simulations and enhance decision-making. LLMs and generative AI will play a significant role in robotics programming and simulation development.