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.
- Artificial IntelligenceData Science and GovernanceNeural NetworkR&D
Find cancer with AI: a closer look at CT scan analysis with Self-Supervised Learning (SSL)
by Massimo - Artificial IntelligenceLarge Language Models LLMs and Natural Language Processing (NLP)Organizational change
Use Artificial Intelligence to implement the Prospect Theory of Daniel Kahneman: Shaping the Understanding of Economic Decision-Making with Large Language Models
by MassimoKahneman’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…
- Artificial IntelligenceLarge Language Models LLMs and Natural Language Processing (NLP)
AI and the Future of Work: Navigating the Crossroads of Innovation and Employment Crisis in the UK
by MassimoAI’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.
- Artificial IntelligenceLarge Language Models LLMs and Natural Language Processing (NLP)
AI and the Future of Society: redefining the Foundation of Human Civilization.
by MassimoAI’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.
- Artificial IntelligenceLarge Language Models LLMs and Natural Language Processing (NLP)
Enhancing Multilingual Models with Active Forgetting
by MassimoUnveiling the potential of active forgetting in pretraining for superior language model adaptability, particularly for linguistically distant languages in low-data scenarios.
- Artificial IntelligenceLarge Language Models LLMs and Natural Language Processing (NLP)
Response to Professor Michael Wooldridge on Generative AI intelligence (The Turing Lectures: The future of generative AI)
by MassimoProfessor 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.
- Artificial IntelligenceLarge Language Models LLMs and Natural Language Processing (NLP)
MIT Approach to Enhancing Large Language Models for Enterprises with LAB
by MassimoIBM’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.
- About mePublic speaking events
Moderator at the ITDACH Roundtable meeting on Artificial Intelligence and IoT on April 25th, 2024
by MassimoI’ll be moderating the upcoming roundtable on Artificial Intelligence and IoT on April 25th, 2024. We’ll be delving into some fascinating topics, including Generative AI in the Enterprise, enhancing creativity and content generation, Natural Language generation (NLG) for business communication, and AI-driven product and service Innovation. We’ll also be exploring the importance of personalization and customer experience, and how to make the most of new technology in corporate organizations.
- Artificial IntelligenceLarge Language Models LLMs and Natural Language Processing (NLP)
Revolutionizing Realities: how AI’s leap with ChatGPT’s Turing triumph and how new AIs for visual world creation redefine Human Experience
by MassimoIn 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.
- Artificial IntelligenceLarge Language Models LLMs and Natural Language Processing (NLP)
Implementing SparseGPT for efficient Pruning of Language Models on AWS
by MassimoExplore 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.
- Artificial IntelligenceLarge Language Models LLMs and Natural Language Processing (NLP)
Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding
by MassimoThis 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.
- Artificial IntelligenceData Science and Governance
Harnessing Soft Prompts in AWS for advanced AI Applications: emulating skin behaviour with Transformers
by MassimoExplore 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.