Navigating the Complexities of AI-Prompt Management: Insights from SIKE

Navigating the Complexities of AI-Prompt Management

In the rapidly evolving world of AI-driven tools, understanding the mechanics behind AI interactions, particularly in custom models, is crucial for businesses aiming to leverage these technologies effectively. A recent video on YouTube (see below) delves into the complexities and challenges faced by users of popular AI platforms like ChatGPT, specifically addressing the issue of prompt management and its impact on AI output quality.

Having Fun with ChatGPT

Having Fun with ChatGPT

Whilst we may have highlighted some of the prompt injection vulnerabilities of GPT assistants in ChatGPT last week, we also want to highlight that they can be quite fun to use too.

In this case, we used it to create a fun video game akin to an NBA simulator like NBA 2K, NBA Live or other games this author used to play. It will be a turn-based simulator style of game and the style of play can easily be adjusted later.

Prompt Injection Vulnerabilities in AI Models

NotCentralised Gradient 2

The rapid advancement in AI technologies, particularly in the realm of GPT (Generative Pre-trained Transformer) models like ChatGPT, has brought about incredible innovations and efficiencies in various sectors. However, as with any technology, these advancements are not without their vulnerabilities. A recent discovery in the AI community has brought to light significant security concerns around these models, specifically related to ‘Prompt Injection’ attacks.

Update to File Vulnerability with GPTs (aka ChatGPT Assistants)

Update to File Vulnerability with GPTs (aka ChatGPT Assistants)

So a quick update to the story on GPTs and the issues with being able to get at their underlying instructions (bad but not horrible) and the files that people have been attaching to them (absolutely horrible if you’ve got a commercial model relying on that info).

Celebrating a Year of ChatGPT

Celebrating a Year of ChatGPT

As we mark the first anniversary of ChatGPT (they introduced it on 30th November 2022 — see https://openai.com/blog/chatgpt), it’s a moment to reflect on how this remarkable technology not only reshapes our work and leisure but also mirrors humanity’s ceaseless journey towards innovation and self-understanding.

AI at a Crossroads: Ethical Development and Leadership Transition

AI at a Crossroads: Ethical Development and Leadership Transition

As we mark the first anniversary of ChatGPT (they introduced it on 30th November 2022 — see https://openai.com/blog/chatgpt), it’s a moment to reflect on how this remarkable technology not only reshapes our work and leisure but also mirrors humanity’s ceaseless journey towards innovation and self-understanding.

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Mark
Monfort

Mark drives innovation with his deep understanding of AI, blockchain, and data technologies. His experience spans over 15 years of contributions to finance, technology, and operational strategy across Australia, Europe, and North America.

In 2021, he transitioned from Head of Data and Technology at a leading Australian accounting firm to startups. Prior to this, he worked in equity and macroeconomic research in the capital markets space.

Mark brings a passion for data and insights to NotCentralised. His understanding of AI and blockchain technology is central to the development of workplace productivity and financial system modernisation products, including SIKE and Layer-C. Mark’s dynamic and solutions-focused methods enable the navigation of complex technological landscapes and new market potentials.

Mark holds an Executive Master’s and a Bachelor of Commerce. He led the creation of the Australian DeFi Association and serves on the advisory board for the Data Science and AI Association of Australia. His commitment to such communities demonstrates his enthusiasm for emerging technologies and vision of positive change through technology adoption.

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Arturo
Rodriguez

Arturo leads product development and software engineering, applying over two decades of experience in technology, capital markets, and data science. With his years of programming expertise, Arturo smoothly transitioned into blockchain, AI, and machine learning.

Arturo has built and sold technology startups across Europe, following quant derivatives roles in global investment banks. His prior experience includes data projects for the NHS in the UK, Strategic Technology Advisor at Land Insight, and Senior Advisor to OpenInsight, where he built predictive models for vessel usage in commodity markets.

A mathematics and statistics graduate from Stockholm University, Arturo’s early grounding in logic problems and data manipulation techniques is evident in his practical applications. His work building equity derivative pricing models for Merrill Lynch and Royal Bank of Scotland showcased Arturo’s highly specialised skillset.

Arturo relocated from London to Australia in 2020. Beyond NotCentralised, his passion for technology and industry involvement extends to the Australian DeFi Association, which he co-founded, and regular contributions to the Data Science and AI Association.

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