Namee Oberst, co-founder of AI Bloks and creator of the LLMWare framework, discusses the transformative power of Small Language Models (SLMs) in generative AI. She highlights their efficiency and accessibility for industries like finance and law without the need for heavy infrastructure. The conversation dives into the role of SLMs in enhancing AI on personal computers, enabling secure data management and real-time analytics. Namee also shares tips for incorporating AI tools in everyday tasks, making advanced technology usable for everyone.
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question_answer ANECDOTE
Legal Inspiration
Namee Oberst's legal background motivated her to start an AI company.
She saw potential in automating repetitive tasks and addressing data privacy concerns in regulated industries.
insights INSIGHT
SLM Performance
Small language models (SLMs) can perform specific tasks reliably and predictably.
Early SLMs sometimes outperformed OpenAI's services in terms of reliability and accuracy.
insights INSIGHT
Evolving SLM Definition
The definition of "small language model" is evolving as hardware and software improve.
Even commodity laptops can now run larger models, blurring the lines between SLMs and LLMs.
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In this podcast, Namee Oberst, co-founder of AI Bloks, the company behind AI framework LLMWare, discusses the recent trend in Generative AI and Language Model technologies, the Small Language Models (SLMs) and how these smaller models are empowering the edge computing on devices and enabling AI-powered PC's.
Read a transcript of this interview: https://bit.ly/3O9LZOZ
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