Large Language Models – Buonaiuto@Work

SpikingBrain: a revolutionary brain-inspired Chatgpt made in China

Massimo2025-09-180357 views

The Chinese SpikingBrain is a new family of brain-inspired large language models that reimagines how AI can process information more efficiently. SpikingBrain models adopt a biological principle: neurons remain idle until an event triggers them to fire. This event-driven design reduces unnecessary computation, cuts energy use, and enables faster responses. SpikingBrain achieves over 100× speedup in “time to first token” for sequences up to 4 million tokens. Energy consumption drops by 97% compared to traditional LLMs.

Lead Speaker at “Let’s Talk AI” with Dalith Steiger-Gablinger, 31 October 2024 in Zurich, Switzerland

Massimo2024-10-110815 views

Dalith Steiger and Massimo Buonaiuto, two renowned experts in the field of artificial intelligence and internationally sought-after speakers, will be in Zurich on 31 October 2024 to shed light on the opportunities, risks and dangers of AI, the current possibilities and challenges, from the following perspectives.

Leveraging NLP in Knowledge Management: a Case Study of Lab Document Management

Massimo2021-07-010323 views

In a pioneering effort to streamline laboratory knowledge management, a sophisticated system leveraging Natural Language Processing (NLP) and machine learning models, including BERT and GPT, was developed to efficiently manage a massive repository of scanned documents. By applying advanced techniques such as topic modeling, document clustering, and semantic similarity analysis, this system significantly improved document accessibility, categorization, and retrieval. The creation of a detailed ontology, integrated with public data sources, further enhanced data interoperability and research collaboration, showcasing the transformative potential of NLP in handling complex data landscapes.