Dive into a comprehensive conference talk exploring the cutting-edge developments in generative AI and large language models. Gain insights into the rapid evolution of AI technologies, their current limitations, and popular use cases. Examine business trends, system architectures, and the challenges of choosing and implementing AI models. Learn about quantization techniques, small language models, and potential security vulnerabilities. Explore emerging trends beyond text modality, including voice interfaces, and understand the impending regulatory landscape, with a focus on ethics and the EU AI Act. Engage with a detailed agenda covering everything from the rise of generative AI to its future implications and challenges.
Unveiling Tomorrow: Exploring the Frontiers of Generative AI
Overview
Syllabus
intro
preamble
short bio
agenda
the rise of the generative ai/llm
new models are coming out at outstanding pace
llms have their issues - in fact, quite a lot of them...
popular use cases not exhaustive
business trends: let's use ai for everything!
actual systems go beyond just llms
which one to actually choose?
memory to self-host llm
quantization
simple chatbot case study
example: data protection / secure processing in amazon bedrock
small language models
entirely new attack vector
jailbreaks
indirect prompt injection from website
it can even happen from beyond the text...
recap: challenges
summarization: trends
beyond text modality...
moving even to voice interfaces area...
brace yourselves, regulations are coming
ethics and regulations
eu example - ai act
questions?
Taught by
Conf42
