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There Are No AI Hallucinations - Just Bad Prompt Writers

Steal This Prompt!

Confused about AI inaccuracies? It's not about hallucinations; it's about mastering prompt crafting. Don't know how to write prompts? Discover why it's a must-have skill for everyone.

  • Strategy: Start simple with straightforward AI strategies that could save your business millions.

  • Trends: Which Models “Hallucinate” the most / least? A dynamic report that lets you know.

  • Tools and a Prompt: Inspired by Abbie’s (Am I showing my age?) call to 'Steal This Prompt,' here's a DALL-E prompt hack that'll streamline your image creation process and save you hours.

Strategy

Bit

I'm a huge fan of David Bland, having first encountered his insights while organizing a Product book club at JP Morgan Chase / WePay. His book, 'Testing Business Ideas,' was a pivotal discovery for me, revolutionizing my perspective on product management. Rather than investing time and money in a Master's degree in Product, you can gain invaluable knowledge by simply reading David's book in a day—it's both economical and efficient. He articulates the innovative Wizard of Oz experiment template in his book, a paradigm-shifting concept that deeply resonated with me. The above video brings this idea to life, showcasing the dynamic power of visuals in communicating complex ideas.

Byte - Keep it simple

In my previous article, I emphasized the significance of setting clear goals, objectives, and outcomes, alongside a deep understanding of your clients' needs and desired outcomes. However, I omitted two crucial elements: speed and trust.

It's a common scenario: you task a data science team with creating a solution, naturally expecting a data science-driven answer. But is that always the best approach? Not necessarily. The quickest route to client satisfaction, especially in early stages, might be as straightforward as an Excel spreadsheet. I encourage teams to prioritize rapid, trust-building solutions. Once you've proven the concept with your client, scaling up to a more comprehensive data science solution is always an option.

In the domain of data science and engineering across corporate America, three critical elements distinctly determine the trajectory of your success:

  • Swiftly implementing valuable solutions

  • Maintaining trust by being versatile and efficient in your approach

  • Guaranteeing that your solution precisely resolves the client's problem is paramount, as is securing their unequivocal sponsorship

Drawing inspiration from the Wizard of Oz, the takeaway is to begin with simplicity and confirm that your solution meets the client's needs. Subsequent iterations can enhance and refine the solution as necessary.

Invoking the wisdom of the Wizard of Oz, the essential strategy is to initiate with simplicity, ensuring your solution aligns with the client's requirements. Progressive iterations will further refine and improve the solution.

My experience has shown that data science teams often dedicate months to futile endeavors. Insight gained from these situations reveals that success hinges on straightforward yet crucial factors: well-defined goals, objectives, full-cycle sponsorship, and a receptivity to alternatives beyond conventional data science. Opting for the most efficient problem-solving approach (Excel) over a default data science methodology can result in considerable cost efficiency and enhanced outcomes.

Bit

Are you Hallucinating?

In his article on AI Hallucinations, Steven Levy posits, 'We should also celebrate these hallucinations as prompts for human creativity and a barrier to machines taking over'—a sentiment with which I wholeheartedly concur. Our society is not poised to embrace infallible AI models; the abrupt integration of such advanced technology could overwhelm us, potentially ushering in chaos. While the notion of a sentient AI capable of intricate interactions remains a distant reality, often serving more as provocative clickbait, the immediate and significant impact of AI on our lives is undeniable.

Byte

Remember The DOS Prompt? How about punch cards?

To thrive in this evolving landscape, we must transform into consummate learners and demonstrate unparalleled adaptability in our skill sets. Recall our interactions with MS-DOS in the 1980s? Today, crafting prompts is akin to the command line of the 20th century. Our engagement with AI is set to become more intuitive, yielding superior responses. Presently, the art of crafting an effective prompt is vital for enhanced outcomes. This skill typically involves an iterative process, akin to peeling an onion, to refine the interaction and achieve the desired result. If there's interest, I can share a detailed thread on how I fine-tuned a series of prompts for optimal results. Also, make sure to explore the Tool and Prompt section below.

Regarding Hallucination Rates in AI

Exploring the hallucination rates among leading AI models, particularly with the ability to adjust for various parameters, was enlightening. Encouragingly, these rates are declining, yet vigilance is necessary as some models still exhibit elevated levels.

For those intrigued by the technical details, the research paper 'Calibrated Language Models Must Hallucinate' by Adam Tauman Kalai and Santosh S. Vempala offers insightful conclusions:

One conclusion is that models pretrained to be sufficiently good predictors (i.e., calibrated) may require post-training to mitigate hallucinations on the type of arbitrary facts that tend to appear once in the training set. However, our analysis also suggests that there is no statistical reason that pretraining will lead to hallucination on facts that tend to appear more than once in the training data (like references to publications such as articles and books, whose hallucinations have been particularly notable and problematic) or on systematic facts (like arithmetic calculations). Therefore, different architectures and learning algorithms may mitigate these latter types of hallucinations.

Adam Tauman Kalai, Santosh S. Vempala

Thanks to Byter, K Mig Hofmann for suggesting to write about Hallucinations.

Tools and a Prompt

Two for One!

In a strategic move to harness AI's creative potential, I have been utilizing ChatGPT to extract the specific prompt employed by DALL-E in crafting the AI Quick Bytes logo. This capability of ChatGPT to disclose image generation prompts has been instrumental. Presented here is not the initial prompt I formulated, but rather the refined ChatGPT version of my prompt (Prompt 1). Subsequently, I modified this prompt (Prompt 2) to generate the 'Hallucination' image showcased in the Trends section, demonstrating the power of tailored, brand-aligned image prompts. Should this pique your interest, I invite you to engage in the comments, where I'll share how I further enhanced the DALL-E generated image for a more profound impact. Please note that accessing DALL-E's functionalities necessitates a subscription to ChatGPT 4.

Prompt 1 - Create a wide image with a futuristic AI-themed backdrop. The brain inside the light bulb should be stylized to resemble a computer circuit, with intricate lines and nodes that mimic electronic pathways. The overall image should have a vibrant, neon cyber-tech aesthetic with a focus on digital elements. Incorporate the words 'AI Quick Bytes' into the design, with the 'AI' being an integral part of the circuit-brain itself, making it appear as if it's the source of the circuitry. The 'Quick Bytes' text should follow in the same bold, neon-style font, centered below the light bulb, ensuring a cohesive design that highlights the 'AI' as part of the brain-circuit fusion.
Prompt 2 - Create a wide image with a futuristic AI-themed backdrop. The brain inside the light bulb should be stylized to resemble a computer circuit, with intricate lines and nodes that mimic electronic pathways. The overall image should have a vibrant, neon cyber-tech aesthetic with a focus on digital elements.   The message a reader should take a way from the image is the danger of AI Hallucinations.

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