Become 10x Smarter in 10 Minutes with ChatGPT

🚀 Uncover the secret to 10x your business strategy and knowledge in just 10 minutes! Discover how I used ChatGPT to transform my approach to business growth.

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Happy Friday! This is Ryan Staley of Whale Boss where I share the latest weekly insights, prompts, and workflows to unleash the power of AI! 🔥

Here’s what we got for you:

  • 🤖 AI Art Wars: Google Gemini and OpenAI's DALL·E 3

  • 🛠️ Prompt SLAM!

  • 🎧 Weekly Podcast Updates 

  • 😮 AI's latest trick: Better KPIs for measuring business success

  • 🤖 Microsoft strikes deal with Mistral in push beyond OpenAI

  • 😎 FlowGPT is the Wild West of GenAI apps

  • 🙌Mistral AI releases new model to rival GPT-4 and its own chat assistant

  • New AI image generator is 8 times faster than OpenAI's best tool — and can run on cheap computers

Uncover the secret to 10x your business strategy and knowledge in just 10 minutes!

Discover how I used ChatGPT to transform my approach to business growth.

Key Takeaways:

1. Uncover the Power of Verbal Communication: Learn how to use the OpenAI Chat GPT app to verbally communicate with it, turning knowledge from a book into actionable insights for your business.

2. Implementation is Key: Discover how to translate book concepts to your specific business needs. From time allocation to functional areas, this tool provides actionable recommendations for implementation.

3. Execution with Efficiency: See how the tool provides worksheets and questions to guide your weekly strategic planning, creating systems, and daily task prioritization—leading to significant time savings and business growth.

🛠️Unleash Your AI Power: Prompts SLAM!


Social Selling

Write a 50-word LinkedIn message explaining how {your product or service} can address the challenges of {a specific role or buyer} in {industry}.


Hiring the Perfect Candidate

Craft three challenging rounds to assess top [role] candidates with increasing difficulty and test for deep [abilities] knowledge.

Role = [Insert here]

Abilities = [Insert here]


Writing emails for your customers

A customer gave a 1-star review for your app on Play Store; now write a sorry note to the customer and ask them to give you more information about their problem so you can resolve it asap.


Answer Product Objections

Consider possible objections to [product/service] and give step-by-step instructions on how to answer those objections in a way that will make customers like [product/service].

service = [Insert here]

🙌This week's podcast episodes...

Over a third of organizations are using AI to develop more advanced and holistic KPIs, addressing the limitations of traditional metrics and providing a more accurate picture of business performance.

AI-enhanced KPIs allow for a deeper analysis of interdependencies between metrics, leading to smarter, adaptive, and predictive performance indicators that are more aligned with organizational goals.

The adoption of AI for generating KPIs results in significant benefits, including improved collaboration, enhanced predictive capabilities for future performance, and increased financial and operational efficiency.

Microsoft has formed a multiyear partnership with the French AI start-up Mistral, focusing on bringing AI models to market, especially targeting applications for European governments. This includes research and development collaborations and is a step towards expanding Microsoft's AI ecosystem beyond its substantial investment in OpenAI.

Image: Financial Times / Madhumita Murgia

Investment and Support for AI Development: While the financial details are not disclosed, Microsoft's investment in Mistral signifies its intent to support the growth of AI technologies and infrastructure, including open-source models. This move aligns with Microsoft's broader strategy of fostering innovation in AI, evidenced by its significant investments in data centers and AI model development, including a $13 billion investment in OpenAI.

AI Economy and Infrastructure Expansion: Microsoft aims to play a pivotal role in what it views as the emerging AI economy, committing to innovation and competition principles in AI. This involves substantial investments in AI infrastructure, such as data centers in Germany and Spain, and potentially in AI chip development, highlighting the importance of accessible AI model training infrastructure for fostering market development and competition.

Image: FlowGPT

  • FlowGPT as an Alternative to GPT Store: FlowGPT positions itself as a versatile "app store" for generative AI models, offering a platform for users to build and share GenAI-powered apps using various AI models, including those from Google, Anthropic, Meta, and OpenAI.

  • Ease of Use and Accessibility: Co-founders Jay Dang and Lifan Wang aim to lower the barrier for using AI by simplifying the creation and sharing process for GenAI apps, making it more accessible to users.

  • Creator Tools and Marketplace Ecosystem: FlowGPT provides an ecosystem with infrastructure and tools for creators to customize their GenAI apps, coupled with a marketplace for users to discover, interact with, and tip creators for their apps.

  • Ethical and Safety Challenges: Despite its innovative approach, FlowGPT faces challenges with app content moderation and ethical concerns, including apps that circumvent safety measures or provide potentially harmful content.

  • Investment and Expansion Plans: FlowGPT has secured $10 million in funding to support its growth, including mobile app development, a revenue-sharing model for creators, and expansion of its team, signaling confidence in its potential to lead in the GenAI space.

Image: FlowGPT

FlowGPT offers several key benefits to both creators and users in the generative AI space. For creators, it provides a platform to showcase their innovative applications, leveraging a range of AI models beyond OpenAI’s offerings. This democratizes the development of AI apps, enabling a wider community to contribute and monetize their creations. Users benefit from a diverse selection of GenAI-powered apps tailored to various needs, from programming to creative writing, enhancing their productivity and creativity. Additionally, FlowGPT's commitment to accessibility and user engagement promotes a more inclusive environment for exploring AI capabilities. However, the challenges of content moderation and ethical considerations highlight the importance of responsible AI usage and governance as the platform grows.

Paris-based startup Mistral AI is introducing a large language model, Mistral Large, and a chat assistant, Le Chat, aiming to compete with models like GPT-4 and ChatGPT.

Founded by Google’s DeepMind and Meta alums in May 2023, Mistral AI quickly raised significant funding, including a $113 million seed round and a $415 million round led by Andreessen Horowitz.

  • Open Source and Business Model: Initially open source-focused, Mistral AI now offers Mistral Large through a paid API, adopting a usage-based pricing model similar to OpenAI's.

  • Le Chat Beta Release: Le Chat, available in beta, offers free access to different models including Mistral Small, Large, and Mistral Next, with a paid enterprise version planned.

  • Partnership with Microsoft: Mistral AI announces a partnership with Microsoft to distribute its models on Azure, aiming to expand its customer base and explore further collaboration opportunities.

Knowledge Distillation Technique: South Korean scientists condensed Stable Diffusion XL into a smaller model, KOALA, using knowledge distillation, reducing its parameters from 2.56 billion to 700 million.

Efficient and Lean: The KOALA model is designed to be lean and efficient, capable of running on low-cost hardware without the need for high-end, energy-intensive GPUs.

Fast Image Generation: KOALA can generate images in under two seconds on hardware requiring as little as 8GB of RAM, significantly outpacing larger models in speed.

Accessibility and Open Source: The research and models have been made publicly available through the preprint database arXiv and the open source AI repository Hugging Face.

Versatile Applications: Beyond image generation, the team developed Ko-LLaVA versions for answering text-based questions with images or video, aiming to integrate these technologies into various services.

This breakthrough in AI image generation technology offers several key benefits. By significantly reducing the model size without compromising performance, KOALA democratizes access to advanced AI tools, allowing individuals and organizations with limited hardware resources to utilize cutting-edge image generation capabilities.

The speed of image generation opens up new possibilities for real-time applications and reduces wait times for users. Making the research and models available via open source encourages innovation and collaboration within the AI community, potentially leading to further advancements and applications.

Finally, the technology's versatility and plans for integration into services such as education and content production hint at a wide range of potential benefits, from enhancing learning experiences to streamlining content creation processes.

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