Artificial Intelligence – Pagina 2

Generative AI in the Automotive Industry

Massimo2024-05-090438 views

Generative AI is revolutionizing the automotive industry, enhancing design, supply chain management, and predictive maintenance. By optimizing designs and customizing features, AI is enabling rapid prototyping and improving operational efficiency. AI also boosts supply chain resilience by predicting disruptions and automating quality control, ensuring high standards. The technology’s role in developing autonomous vehicles through extensive scenario testing highlights its transformative impact.

Find cancer with AI: a closer look at CT scan analysis with Self-Supervised Learning (SSL)

Massimo2024-04-080428 views

In the ever-evolving battle against cancer, the integration of Self-Supervised Learning (SSL) with CT scan analysis emerges as a beacon of hope, illuminating new pathways for early and accurate diagnosis. SSL, a sophisticated facet of machine learning, thrives on the challenge of unlabeled data, teaching AI models to navigate through vast informational landscapes to uncover hidden patterns indicative of cancer. This pioneering approach not only promises to enhance the precision of cancer detection but also to streamline the operational efficiency of healthcare diagnostics. By leveraging the untapped potential of SSL, we stand on the cusp of revolutionizing how we identify and combat cancer, making strides towards a future where accurate diagnosis is both faster and more accessible.

Use Artificial Intelligence to implement the Prospect Theory of Daniel Kahneman: Shaping the Understanding of Economic Decision-Making with Large Language Models

Massimo2024-03-300478 views

Kahneman’s groundbreaking contributions to “prospect theory” highlighted the limitations of the expected utility theory, underscoring the significance of psychological biases in economic decision-making. This theory marked a significant departure from the assumption that individuals act purely on rational calculations, acknowledging instead the influence of various biases and heuristics. The human brain is a multifaceted mosaic, with each piece affecting our decision-making processes. Consequently, the images I have generated, inspired by Picasso’s style, reflect this complexity. Picasso was a trailblazer in depicting the multifaceted nature of the human mind. How do we make decisions? The recent passing of Daniel Kahneman at age 90 marks the end of an era for behavioural science but also solidifies a legacy that will persist through the…

AI and the Future of Work: Navigating the Crossroads of Innovation and Employment Crisis in the UK

Massimo2024-03-270435 views

AI’s rapid evolution marks a pivotal shift in human civilization, presenting dual potentials to either aid or exacerbate our ecological crisis. Beyond mere technological convenience, AI redefines our existence, challenging the core of societal norms through mastery of language and manipulation. This transformative force could influence every aspect of life, from culture and politics to personal identity, demanding a critical examination of its role in shaping future societies.

AI and the Future of Society: redefining the Foundation of Human Civilization.

Massimo2024-03-260469 views

AI’s rapid evolution marks a pivotal shift in human civilization, presenting dual potentials to either aid or exacerbate our ecological crisis. Beyond mere technological convenience, AI redefines our existence, challenging the core of societal norms through mastery of language and manipulation. This transformative force could influence every aspect of life, from culture and politics to personal identity, demanding a critical examination of its role in shaping future societies.

Enhancing Multilingual Models with Active Forgetting

Massimo2024-03-130378 views

Unveiling the potential of active forgetting in pretraining for superior language model adaptability, particularly for linguistically distant languages in low-data scenarios.

Response to Professor Michael Wooldridge on Generative AI intelligence (The Turing Lectures: The future of generative AI)

Massimo2024-03-020384 views

Professor Michael Wooldridge’s insightful presentation highlighted human intelligence’s unique aspects, contrasting it with the emerging intelligence of Large Language Models (LLMs). This discussion opens up a vital conversation about the biases we project onto AI and the potential for GPTs to develop a distinct form of intelligence, diverging significantly from human cognition.

MIT Approach to Enhancing Large Language Models for Enterprises with LAB

Massimo2024-03-010368 views

IBM’s new synthetic data generation method and phased-training protocol allows enterprises to update their LLMs with task-specific knowledge and skills, taking some of the guesswork out of training generative AI models.

Revolutionizing Realities: how AI’s leap with ChatGPT’s Turing triumph and how new AIs for visual world creation redefine Human Experience

Massimo2024-02-260391 views

In the latest advancements, artificial intelligence has reached new heights with ChatGPT-4 passing the Turing Test, illustrating AI’s ability to mimic human-like behaviors and decision-making. Concurrently, OpenAI’s Sora has emerged, transforming textual prompts into photorealistic videos, pushing the boundaries of AI’s creative potential. These developments underscore the critical need for ethical frameworks in AI, addressing concerns such as misuse, intellectual property, and the impact on creativity. The rapid evolution of AI technologies like ChatGPT-4 and Sora highlights both the transformative possibilities and the ethical challenges that accompany the blurring of lines between human and machine intelligence.

Implementing SparseGPT for efficient Pruning of Language Models on AWS

Massimo2024-02-090297 views

Explore the innovative implementation of SparseGPT on AWS for pruning massive GPT models efficiently. Discover how this technique retains high accuracy while significantly reducing computational demands.

Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Massimo2024-02-030382 views

This excerpt introduces meta-prompting, a novel scaffolding technique to enhance language models by enabling them to function as both orchestrators and specialists. It leverages high-level directives for decomposing complex tasks into simpler subtasks, tackled by expert instances of the same model under specific instructions. This method transforms a single language model into a multi-functional entity, capable of conducting integrated, expert-level analyses and generating refined outcomes. Meta-prompting’s task-agnostic framework simplifies user interactions and incorporates external tools like Python interpreters, significantly improving task performance. Research with GPT-4 demonstrates its effectiveness, showing a marked performance improvement over traditional prompting methods.

Harnessing Soft Prompts in AWS for advanced AI Applications: emulating skin behaviour with Transformers

Massimo2024-01-040241 views

Explore the transformative potential of soft prompts in AWS for niche AI applications like emulating skin behaviour. Learn to set up, integrate, and train models with precise, context-driven responses using GPT-2.