Generative AI is very exciting technology. It's like having a robot apprentice who can learn how to make art, music, and more! However, it still takes a lot of data, computing power, and learning for AI to match the creative abilities of people. But generative AI is getting better every day as it studies more examples of human creativity. The most amazing thing is that AI is not just copying work made by humans. It is able to take what it has learned and come up with new patterns, combinations, and innovations. Generative AI will help make art and content that has never been seen before!
Open-source generative AI
The code used to create open-source generative AI is available for everyone to look at, change, and use to build new things. It is not kept a secret by one company. Open source is about sharing and working together. Some examples of open-source generative AI projects are:
■ RunwayML: This helps people create new drawings, sounds, and videos with AI. You can change the code to customise the AI art!
■ StyleGAN: This AI makes realistic fake human faces. The code is public so new things can be generated.
■ Magenta: A tool from Google to make music with AI. You can build on it to train the AI in new ways.
■ TensorFlow: This popular programming library lets anyone build all kinds of AI models. Generative Als are created with it.
Some other cool open-source projects are GAN Lab, Mimetic, Lexica, and VQGAN. The code for all these is free to use and change! The benefit of open source is that anyone can learn from these projects, make them better, and create new innovations. You may be asking yourself, "Why should I choose open-source generative AI over closed-source?" The key advantage of open-source generative AI is the collaborative and transparent nature of its development.
Bu hikaye Open Source For You dergisinin March 2024 sayısından alınmıştır.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 9,000+ magazines and newspapers.
Already a subscriber ? Giriş Yap
Bu hikaye Open Source For You dergisinin March 2024 sayısından alınmıştır.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 9,000+ magazines and newspapers.
Already a subscriber? Giriş Yap
Helgrind: Detecting Synchronisation Issues in Multithreaded Programs
Let's explore how Helgrind can be used to detect and debug multithreading issues with the help of a multithreaded C program.
The Perfect Process of Booting a PC
Booting a PC seems as simple as eating a cake. But are you aware of all that goes on behind-the-scenes to bake a delicious cake or seamlessly boot a PC?
Exploring eBPF and its Integration with Kubernetes
eBPF, a game-changing technology that extends the capabilities of the Linux kernel, offers significant advantages for Kubernetes networking. It also greatly improves Kubernetes observability by capturing detailed telemetry data directly from the kernel. Read on to find out how its integration with Kubernetes has immense benefits.
Deploying Generative AI LLMs on Docker
Built on massive datasets, large language models or LLMS are closely associated with generative Al. Integrating these models with Docker has quite a few advantages.
Containerisation: The Cornerstone of Multi-Cloud and Hybrid Cloud Success
Open source containerisation software provides the flexibility, cost-effectiveness, and community support needed to build and manage complex multi-cloud and hybrid cloud environments. By leveraging this software, businesses can unlock the full potential of multicloud and hybrid cloud architectures while minimising vendor lock-in risks.
From Virtual Machines to Docker Containers: The Evolution of Software Development
Containerisation and Kubernetes have eased software development, making it faster and better. Let's see where these are headed, looking at trends that are making life easier for developers.
India's Leap in Supercomputing: Innovating for Tomorrow
As India strides towards self-sufficiency in supercomputing, embracing this evolution isn't just an option-it is pivotal for global competitiveness and technological leadership.
SageMath: A Quick Introduction to Cybersecurity
In the previous articles in this SageMath series, we delved into graph theory and explored its applications using SageMath. In this seventh article in the series, it is time to shift our focus to another crucial subfield of computer science: cybersecurity and cryptography.
Efficient Prompt Engineering: Getting the Right Answers
OpenAl's GPT-3 and GPT-4 are powerful tools that can generate human-like text, answer questions, and provide insights. However, the quality of these outputs depends heavily on how you frame the input, or prompt. Efficient prompt engineering ensures you get the right answers by designing inputs that guide the AI towards relevant, clear, and useful responses. Let's find out how to craft effective prompts with examples.
Analysing Linus Torvald's Critique of Docker
This article looks at Docker's security flaws, particularly its shared-kernel model, and contrasts it with traditional VMs for better isolation. It discusses Linus Torvalds' concerns, explores mitigation techniques, and proposes a roadmap for building a more secure containerisation platform using hardware-assisted virtualisation, true isolation, and a robust orchestration layer.
