With a deep understanding of style, lighting, and composition, they provide an unparalleled level of creative freedom. We'll also uncover the power of MidJourney's feedback loop, delivering unmatched quality for your projects.

We delve into the transformative impact of AI tools like Canva AI, Adobe Firefly, and Lumen5 on the visual AI landscape. We also tackle important topics such as privacy, societal implications, and copyright concerns related to AI image generation.

Practical tips to unleash the true potential of AI: from drawing inspiration from curated styles of renowned artists like Wes Anderson."Shot on iPhone" prompt for realistic results. Staying ahead in areas like logo design and e-commerce.

KEY TAKEAWAYS
1. Focus on concepts, not individual images, when generating prompts.
2. Start with simple, broad prompts and expand from there.
3. Avoid cliches by generating examples of what to avoid.
4. Blend concepts from different domains for novel ideas.

ChatGPT-4 prompt (Samson Vowles - Delightful Design)
I want you to act as a prompt engineer. You will help me write prompts for an ai art generator called Midjourney. I will provide you with short content ideas and your job is to elaborate these into full, explicit, coherent prompts. Prompts involve describing the content and style of images in concise accurate language. It is useful to be explicit and use references to popular culture, artists and mediums. Your focus needs to be on nouns and adjectives. I will give you some example prompts for your reference. Please define the exact camera that should be used. Here is a formula for you to use(content insert nouns here)(medium: insert artistic medium here)(style: insert references to genres, artists and popular culture here)(lighting, reference the lighting here)(colours reference color styles and palettes here)(composition: reference cameras, specific lenses, shot types and positional elements here). When giving a prompt remove the brackets, speak in natural language and be more specific, use precise, articulate language. always output me two full prompt options that are different.

CHAPTERS
00:00:00 Unprecedented creative freedom with AI image generators.
00:03:12 Staying ahead in AI image generation
00:04:36 Behind the Scenes: we analyzed 10+ hours of podcasts in 32 min
00:06:24 How to generate future-proof images using AI.
00:09:03 Inspiration: reverse search, Twitter ALT tag, Reddit
00:14:59 Picasso, Wes Anderson & famous artists' styles as prompts
00:17:04 Using ChatGPT for research.
00:19:47 "Shot on an iPhone" - the golden prompt for realistic images.
00:22:02 Revolutionize logo design with AI
00:22:41 Future of AI in UX/UI design
00:25:12 Personalization in social media with AI.
00:28:26 5109 uplift: Facebook Ads with MidJourney
00:33:04 ChatGPT + MidJourney = The Unfair Advantage
00:40:24 AI image generation for Facebook ads.
00:41:42 Copy winning ad styles without copyright issues.
00:45:25 Emojis for logo generation.
01:09:06 MidJourney's user interface and community
01:18:19 Lumen5 - your solution for animated slideshows (and double CTR)
01:23:09 Sing like a star with AI song creation

SUMMARY
We reveal how we doubled McDaniel College's student enrollment and sold out a classical music concert.

Observation rules over questioning and the Pain-Gain-Job framework is the game-changer.

Unlock the hidden potential of keyword research, competitor analysis, and the underrated art of mystery shopping. Discover how GPT can be your ace in the hole for market research, making you the leader in your competitive landscape.

Ever tasted your own cooking (trying to buy and use your product)? Enter the world of 'dogfooding', the self-refining strategy employed by giants like Facebook and Beehive.com.

Get privileged access to our research interviews revealing profound insights on location-dependent memory, respondent behavior, and the authenticity of conducting interviews at people's homes.

Join us as we draw practical marketing lessons from industry titans like McDonald's, Disneyland, and Apple and deep-dive into captivating marketing techniques like the 'fake door' experiments.

And the grand finale? A fail-proof protocol for conducting marketing research, even when your target audience is as intimate as 100 people.

Stay tuned for a roller-coaster ride through the intriguing realm of marketing research, and be prepared to transform your business like never before.

KEY TAKEAWAYS
1. Conduct qualitative research through interviews
2. Even a few interviews provide valuable insights
3. Make quick changes based on customer feedback
4. Understand the “job” a product needs to do for the customer
5. Don’t focus on product features in isolation
6. Identify customer pains and gains
7. Segment different customer groups
8. Different groups hire products for different jobs
9. Understand functional, social and emotional jobs
10. Identify key benefits that customers actually value

00:00:00 Doubling Enrollements in McDaniel College: A Case Study
00:03:18 Observation and Dog Fooding for Conversion Rate Optimization
00:04:36 Dogfooding: Understanding User Needs Through Observation
00:09:28 espondent Behavior in Interviews
00:14:33 Usability Testing: A Guide to Observing Real-Life Behaviors and Recording User Experiences
00:16:03 User Behavior Through Screen Recording and Google Analytics: A Discussion on Fake Door Experiments
00:20:06 A/B Testing for McDaniel College
00:21:54 Qualitative and Quantitative Research
00:25:00 Arndold Schwarzenegger in Budapest: a Case Study of Crisis Marketing
00:26:48 Advanced Tactics for Market Research
00:30:04 Jobs to be Done Framework
00:32:08 Skyrocketing Milkshake Sales at McDonald's
00:35:26 Job, Pain, and Gain of Milkshakes, University Education, and Disneyland
00:40:56 Segment or die
00:42:42 Social and Emotional Jobs of Apple, Starbucks, and Tesla
00:45:23 CardBrand Strategy: How Car Brands Take Away Pain and Frustration
00:46:53 Signaling and Social Perception in Human Society
00:48:42 Disruptive Technologies: Understanding Jobs, Pains, and Gains
00:51:03 Identifying Customer Pains for Business Success
00:53:49 Pain and Gain Points in Qualitative Research
00:58:26 Cheaper Alternatives to Keyword Research
00:59:48 Overview of Keyword Research and Survey Design
01:04:05 Different Approaches
01:06:22 Tips for Crafting Effective Questions in Surveys
01:12:12 Group Interviews
01:14:08 Low-Cost Research Tools: Mystery Shopping and Dogfooding
01:15:52 Mystery Shopping and Customer Expert Interviews
01:20:26 Research Case Study: Cooking School
01:22:12 Uncovering Insights: Analyzing Competitors, Segmentation, and Testimonials

Youtube:  youtu.be/QlFbqUymkII

Want to collaborate with us? artisan.marketing

SUMMARY
We take a deep dive into prompt engineering for AI giants like ChatGPT and Google Bard. Ready to transition from an AI novice to an expert?

We’ll strip away the myths, revealing the true essence of AI models. Forget the 'stochastic parrots' theory, these marvels are more than mere internet parrots. Ever fancied a Shakespearean tweet or a piece in your favorite niche writer's style? Stay tuned!

Unlock the secrets behind the 'attention mechanism', the revolution in AI's comprehension and text generation. Witness the startling coherence and context sensitivity it brings.

Marvel at GPT's versatility, from drafting Google Ads to compelling emails. Discover the trick to boosting GPT output quality by a staggering 525% with just a few examples.

We’ll examine fine-tuning models for critical tasks and shed light on 'hypothetical document embedding', a breakthrough poised to enhance coaching, data handling, and chatbot interactions.

Whether you’re an AI enthusiast or a curious beginner, brace yourself for a rollercoaster ride through AI's transformative potential.

KEY TAKEAWAYS
1. Focus research on understanding the specific jobs customers hire products for rather than product attributes alone, and tailor products to fulfill those specific jobs to better achieve objectives.

2. Spend more time uncovering customer pains through research by understanding jobs and pains in depth. Prioritize the most important jobs, pains and gains to focus on. Test hypotheses on the most critical pains and gains.

3. Start with open-ended qualitative research through a few customer interviews to gain initial insights into jobs and pains. Then survey a few hundred customers on the most important hypotheses.

3. Use tools like keyword research, GPT and surveys to gain different perspectives. Group interviews and mystery shopping provide valuable insights from direct customer interaction.

4. Talking to customer support and sales staff regularly is the most valuable as they speak to customers frequently. They can identify the biggest pain points and opportunities.

5. Leverage these insights into marketing materials and offerings to address key jobs and pains. Like Ikea's childcare service example which solves the pain of shopping with children.

6. Measure pains on a scale to quantify their importance to customers. This helps prioritize where to focus improvements and innovations.

CHAPTERS
00:00:00 ChatGPT Prompt Engineering

00:02:29 Is GPT a Stochastic Parrot?

00:04:21 Breakthrough of Attention Mechanisms in GPT Models

00:06:05 Power and Limitations of GPT-4 for Instruction Following

00:10:27 Capabilities of GPT Language Models

00:12:09 Providing Diverse Examples for GPT
00:18:04 Generalizing Knowledge with GPT
00:20:25 Mental Models for Crafting Effective Cold Outreach Emails
00:21:53 GPT-4: Achieving Efficiency Through Automation
00:27:48 Creating a Prompt Strength Model for Cooking School Outreach Emails
00:29:53 How to Write Effective Copy with GPT: A Step-by-Step Guide
00:31:34 Pretraining and Fine Tuning
00:33:54 Challenges of Fine-Tuning
00:38:57 Fine-Tuning Models for High Volume Use Cases
00:41:02 Vector Databases and Embedding Models for Automated Text Processing
00:46:21 Use of Language Models for Coaching
00:47:52 Hypothetic Document Embedding for Q&A Systems
00:50:03 Abstraction Bridging
00:55:43 Hallucination Risk
00:59:22 Writing Google Ads, Emails, and Website Copy With ChatGPT
01:13:01 Strategies to Overcome Limitations of Language Models
01:15:09 Potential Dangers of A

Youtube: https://youtu.be/JmNa3VciD3Y

Want to collaborate with us? artisan.marketing

SUMMARY
Explore AI's creative and empathetic abilities, debunking long-held beliefs. Dive into a discussion about the efficacy of larger AI models, and discover why a Stanford project's smaller model might be AI's true future.

Discover the myth of 'data as the new gold,' and prepare to be astonished by what actually holds this digital crown. Unearth the peculiar 'reversal of disruption' phenomenon in AI's impact on the workforce, witnessing an unexpected pressure on creatives.

Google's battle with the 'Innovator's Dilemma' and how this tech titan grapples with disruption. Witness AI's permeation into various sectors, from creative arts to physical interactions.

KEY TAKEAWAYS
1. AI can augment human capabilities rather than fully automate tasks. How AI allows companies and individuals to scale and explore ideas more quickly with human oversight.

2. Provide more targeted context, examples, and strategic guidance to achieve objectives with Large Language Models. Frame prompts with clear goals, constraints, and examples from their own data and experience to generate more useful and customized outputs. Experiment and iterate, providing feedback to further refine the models.

3. With a strategic approach and an understanding of the models' current limitations, maximize the value of large language models for business use cases.

4. OpenAI's strategy of investing in and providing early access to startups in exchange for long-term usage of their models is very effective but could be made even more impactful by providing more guidance and support to portfolio companies.

5. Midjourney's interface that embeds feedback into every usage has significantly accelerated their model development; OpenAI could learn from this.

6. While Google has the resources to compete, their reliance on search revenue makes it difficult for them to fully disrupt with new AI capabilities. They would benefit from a bolder strategy that more fully embraces AI disruption.

00:00:00 AI's Role in Shaping Work's Future
00:02:30 Unwrapping Pepita: A Marketplace Case Study
00:07:20 Sharpening Google Ads with AI
00:09:10 The Art of Automated Copywriting
00:11:14 Supercharging Google Ads with AI: The Paretot Context
00:17:21 Deciphering Databases with Natural Language Processing
00:19:25 Chat GPT: A New Ally for Data Scientists & Special Needs
00:21:22 Deep Dive into Digital Coaching with [Name]
00:24:43 Empathy & Compassion: Coping with Life's Challenges
00:26:58 Unleashing Creativity with AI: GPT's Story
00:32:57 Inside AI Business: Unraveling Pepita Group 2
00:36:42 AI Unveiled: Mastering Long Tail Products
00:40:55 A Trip Back in Time: AI Compute Costs
00:43:01 Unmasking AI's Limitations: Decision Trees Put to Test
00:45:28 From Brute Force to Machine Learning: The AI Evolution
00:47:13 Tracing AI's Path: Statistical Learning to Deep Neural Networks
00:53:18 AI's Journey: From DeepMind to OpenAI & Beyond
01:02:21 Tuning in with GPT: Language Model Calibration
01:04:31 Reasoning in Steps with AI
01:07:14 Tackling Complexity with GPT-4
01:09:21 What if GPT-4 Surpasses Standardized Tests?
01:13:42 Building an Empire: Generative AI's Business Model
01:16:21 AI Meets Cloud: Business Transformed
01:18:19 Inside OpenAI's Equity Strategy
01:22:22 Painting with AI: The Impact of Open Source
01:23:55 The Rapid Rise of Generative Image Tech
01:25:54 Content Creation Reimagined: The AI Way
01:27:52 Smaller Models, Bigger Results: NLP Training Uncovered
01:32:39 Google: Balancing Business with AI Investments
01:35:15 Victor Popescu on Disr