Getting started with AI can be daunting, but it is also very rewarding. AI is a powerful technology with the potential to make a positive impact on the world. By following the steps in this guide, you can start your journey to becoming an AI developer.
Multinational AI Consortium (MAGIC) Proposes Exclusive Global Control to Ensure Safe and Equitable Advanced AI Development
As AI technology progresses, models may acquire powerful capabilities that could be misused, resulting in significant risks in high-stakes domains such as autonomy, cybersecurity, biosecurity, and machine learning research and development. The key challenge is to ensure that any advancement in AI systems is developed and deployed safely, aligning with human values and societal goals while preventing potential misuse. Google DeepMind introduced the Frontier Safety Framework to address the future risks posed by advanced AI models, particularly the potential for these models to develop capabilities that could cause severe harm.
Computer vision is a rapidly growing field of artificial intelligence that enables computers to understand and interpret images and videos. It has a wide range of applications, including self-driving cars, medical imaging, and robotics.
IBM has made a great advancement in the field of software development by releasing a set of open-source Granite code models designed to make coding easier for people everywhere. This action stems from the realization that, although software plays a critical role in contemporary society, the process of coding is still difficult and time-consuming. Even seasoned engineers frequently struggle to keep learning new things, adjust to new languages, and solve challenging problems.
The Llama Impact Grants program offers $500,000 in grants to projects using Llama 2, an open-source large language model, to address significant challenges in education, the environment, and social innovation.
Hugging Face has recently introduced LeRobot, a machine learning (ML) model created especially for practical robotics use. LeRobot provides an adaptable platform with an extensive library for advanced model training, data visualization, and sharing. This release represents a major advancement in the goal of increasing robots’ usability and accessibility for a broad spectrum of users.
Revolutionizing Software Development: Introducing AgileCoder Imagine a world where software development is as smooth as a well-oiled machine. Where complex projects are tackled with ease, and collaboration is seamless. Welcome to AgileCoder, a revolutionary new framework that’s changing the game, from a team of researchers at the FPT Software AI Center. The Problem with Traditional…
The Technology Innovation Institute (TII) in Abu Dhabi has introduced Falcon, a cutting-edge family of language models available under the Apache 2.0 license. Falcon-40B is the inaugural “truly open” model, boasting capabilities on par with many proprietary alternatives. This development marks a significant advancement, offering many opportunities for practitioners, enthusiasts, and industries alike.
The core idea behind LoRA is to freeze the pre-trained model weights and introduce trainable rank decomposition matrices into each layer of the Transformer architecture. This innovative approach significantly reduces the number of trainable parameters for downstream tasks, offering a more efficient and cost-effective adaptation method. For instance, when compared to fine-tuning GPT-3 175B with Adam, LoRA demonstrates an astonishing reduction of trainable parameters by a factor of 10,000 and a 3x decrease in GPU memory requirements.
