Small Language Model
News & Insights
Carlos Gemmel
Carlos Gemmell is the Chief Technology Officer (CTO) and Co-Founder of Malted AI, a company focused on developing specialized AI solutions using distilled Large Language Models (LLMs). His academic and professional journey reflects a strong commitment to advancing natural language processing and conversational systems.
Professional Background
Current Position: CTO and Co-Founder at Malted AI (2022 - Present)
Location: Edinburgh, Scotland
Education: PhD Candidate in Natural Language Processing at the University of Glasgow, supervised by Jeff Dalton. His research explores how language models can utilize tools for enhanced reasoning and task execution.
Bachelor's Degree in Computer Science from the University of Glasgow.
Career Highlights
Malted AI: Co-founded in 2022, focusing on creating small, efficient AI models tailored for enterprise applications. The company emphasizes cost-effective solutions that leverage LLMs for specific tasks.
Carlos played a pivotal role in securing seed funding for the company, facilitating its growth and technological development.
Amazon Alexa Prize: Led the winning team for the 2021-2022 Amazon Alexa Prize TaskBot challenge, where his team developed GRILLBot, an innovative conversational agent designed to assist users with real-world tasks.
His leadership in this competition showcased his ability to integrate advanced AI techniques into practical applications.
Research Contributions
Carlos's research interests include:
Decoupling Memorization from Reasoning: Investigating how language models can delegate computation and knowledge, similar to using calculators for mathematical tasks.
Question Answering and Conversational Systems: Developing methods to enhance reasoning capabilities in language models, making them more interpretable and effective.
Publications and Talks
Carlos has been active in academia, contributing to various conferences and workshops. Notable activities include:
Invited talks at prestigious institutions such as the University of Cambridge and Stanford NLP Seminar.
Multiple publications in leading journals and conferences, including work on GRILLBot and other advancements in conversational AI.
Skills and Expertise
Natural Language Processing: Extensive knowledge in developing neural language systems capable of complex reasoning.
Leadership: Proven track record in leading successful teams in high-stakes competitions and collaborative projects.
AI Development: Expertise in creating AI solutions that are robust, interpretable, and tailored to user needs.
Personal Insights
Carlos's journey reflects a passion for exploring the intersection of technology and human interaction. His work aims to make AI more accessible and useful by focusing on practical applications that enhance everyday tasks.
In summary, Carlos Gemmell stands out as a leader in the AI field, combining academic rigor with practical experience to drive innovation at Malted AI. His contributions are poised to significantly impact how enterprises utilize AI technologies for specific applications.