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Things to consider before creating a custom GPT for best results

Things to consider before creating a custom GPT for best results

Creating the new OpenAI custom GPTs only takes a few minutes but to get the best results there are few things that you should consider before jumping straight in to the building process. Once you have played around and built a few you will quickly notice that to get the best results you need to tailor your prompts taking on board prompt engineering techniques that have already been used when asking ChatGPT and other large language models questions.

Before embarking on the creation of a new GPT, it’s crucial to have a well-defined purpose. Establishing clear objectives at the outset is foundational to developing a GPT that not only performs efficiently but also aligns precisely with your specific needs and goals. This involves a thorough analysis of the problems you are aiming to solve or the areas you wish to enhance through AI integration.

Target specific problems or issues

Begin by pinpointing the exact challenges or tasks that your GPT will address. For instance, in a business context, are you looking to improve customer engagement, speed up data analysis, or streamline project management? In personal applications, are you seeking assistance with organizing daily activities, learning new skills, or exploring hobbies? Identifying these specific areas ensures that the development of your GPT remains focused and directed.

How will it improve your workflow?

Consider how a GPT can be integrated into existing workflows. This step is about understanding the current processes and identifying gaps where a GPT could offer improvements. For example, in a workplace setting, a GPT might automate routine email responses or assist in generating reports, thereby saving time and reducing manual workload. In personal use, a GPT could help in planning travel itineraries or tracking fitness goals, adding efficiency and personalization to daily routines.

Set measurable objectives to improve results

Once you have identified the areas of application, it’s important to set measurable objectives for what you want your GPT to achieve. This could include metrics like reducing response time in customer service, increasing content output for digital marketing, or enhancing the accuracy of data analysis. Clear, quantifiable goals help in evaluating the success of your GPT post-implementation.

Ensure relevance and effectiveness

The relevance of a GPT is determined by how well it addresses the identified needs. For instance, a GPT designed for educational purposes should be adept at simplifying complex concepts and providing interactive learning experiences. Similarly, a GPT for professional networking should be proficient in identifying potential connections and suggesting conversation starters. This relevance is key to the effectiveness of the GPT in performing its designated functions.

How to create a custom GPT

Other articles we have written that you may find of interest on the subject of ChatGPT prompt engineering :

Quick summary of areas to consider when creating custom GPT AI models for personal, business or resale.

  • Define Clear Objectives: Before embarking on the creation of a new GPT, it’s crucial to have a well-defined purpose. What specific problems are you aiming to solve? How can a GPT streamline workflows or enhance personal tasks? Whether it’s automating customer service, aiding in content creation, or managing personal schedules, clarity in objectives will guide the development process and ensure the GPT’s relevance and effectiveness.
  • Understand the User Base: Tailoring a GPT to its intended users is key. For workplace applications, consider the needs and tech-savviness of your colleagues or employees. For personal use, factor in how the GPT can adapt to your lifestyle or interests. A deep understanding of the user base leads to a more intuitive and user-friendly GPT.
  • Prioritize Data Privacy and Ethics: As GPTs handle potentially sensitive information, maintaining data privacy and adhering to ethical guidelines is paramount. Ensure that your GPT complies with data protection laws and corporate policies. Be transparent about data usage and give users control over their information. Safeguard against biases and ensure that the GPT’s outputs align with ethical standards.
  • Focus on Integration and Compatibility: Seamless integration with existing systems and tools is crucial for a GPT’s success. Assess the compatibility with current software and databases in your work or personal environment. Consider how the GPT can enhance these systems without disrupting established workflows.
  • Customize for Specific Tasks: While GPTs are versatile, tailoring them to perform specific tasks can significantly boost their utility. For example, a GPT designed for marketing might focus on generating creative content, while one for a technical environment might specialize in coding assistance or debugging.
  • Test and Iterate: Continuous testing and iteration are vital. Gather feedback from early users and monitor the GPT’s performance. Be prepared to make adjustments, improve functionality, and refine the user interface. This iterative process ensures that the GPT evolves in response to real-world use and feedback.
  • Plan for Scalability: As your needs grow, your GPT should be able to scale accordingly. Plan for increased demand, more complex queries, or additional functionalities. Ensure that the underlying infrastructure can handle this growth without compromising performance.
  • Explore Advanced Features: Leverage advanced features like API integrations, custom actions, or specialized knowledge databases to enhance your GPT’s capabilities. These features can turn a basic GPT into a powerful tool tailored to specific needs.
  • Stay Informed and Adapt: The field of AI is dynamic, with constant advancements and changes. Stay informed about the latest developments in GPT technology and be ready to adapt your creations to new possibilities and improvements.
  • Consider the Societal Impact: Reflect on how your GPT might affect society at large. Strive to create GPTs that contribute positively, whether by enhancing productivity, fostering learning, or providing entertainment. Consider the broader implications of your AI tools and their potential impact on societal norms and behaviors.

Creating a GPT for personal or professional use goes beyond technical execution; it’s about crafting a tool that resonates with its users, respects ethical boundaries, and seamlessly integrates into existing systems. By considering these advanced aspects, you can develop GPTs that are not just functional but are pivotal in driving efficiency, creativity, and innovation in your daily life and work. Embrace the challenge and opportunity to shape the future of AI in your environment.

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Creating AI art with Stable Diffusion, ComfyUI and ControlNet

Creating AI art with Stable Diffusion ComfyUI and multiple ControlNet models

If you’ve been enjoying creating art using Stable Diffusion or one of the other AI models such as Midjourney or DallE 3 recently added to ChatGPT by OpenAI and available to Jews for free via the Microsoft Image Creator website. You might be interested in a new workflow created by Laura Carnevali which combines Stable Diffusion, ComfyUI and multiple ControlNet models.

Stable Diffusion XL (SDXL), created by the development team at Stability AI is well-known for its amazing image generation capabilities. While SDXL alone is impressive, its integration with ComfyUI elevates it to an entirely new level of user experience. ComfyUI serves as the perfect toolkit for anyone who wants to dabble in the art of image generation, providing an array of features that make the process more accessible, streamlined, and endlessly customizable.

AI art generation using Stable Diffusion, ComfyUI and ControlNet

ComfyUI operates on a nodes/graph/flowchart interface, where users can experiment and create complex workflows for their SDXL projects. What sets it apart is that you don’t have to write a single line of code to get started. It fully supports various versions of Stable Diffusion, including SD1.x, SD2.x, and SDXL, making it a versatile tool for any project.

Other articles we have written that you may find of interest on the subject of Stable Diffusion and Stability AI :

SDXL offers a plethora of ways to modify and enhance your art. From inpainting, which allows you to make internal edits, to outpainting for extending the canvas, and image-to-image transformations, the platform is designed for flexibility. Yet, it’s ComfyUI that truly provides the sandbox environment for experimentation and control.

ComfyUI node-based GUI for Stable Diffusion

The system is designed for efficiency, incorporating an asynchronous queue system that improves the speed of execution. One of its standout features is its optimization capability; it only re-executes the changed parts of the workflow between runs, saving both time and computational power. If you are resource-constrained, ComfyUI comes equipped with a low-vram command line option, making it compatible with GPUs that have less than 3GB of VRAM. It’s worth mentioning that the system can also operate on CPUs, although at a slower speed.

The types of models and checkpoints that ComfyUI can load are quite expansive. From standalone VAEs and CLIP models to ckpt, safetensors, and diffusers, you have a wide selection at your fingertips. It’s rich in additional features like Embeddings/Textual inversion, Loras, Hypernetworks, and even unCLIP models, offering you a holistic environment for creating and experimenting with AI art.

One of the more intriguing features is the ability to load full workflows, right from generated PNG files. You can save or load these workflows as JSON files for future use or collaboration. The nodes interface isn’t limited to simple tasks; you can create intricate workflows for more advanced operations like high-resolution fixes, Area Composition, and even model merging.

ComfyUI doesn’t fall short when it comes to image quality enhancements. It supports a range of upscale models like ESRGAN and its variants, SwinIR, Swin2SR, among others. It also allows inpainting with both regular and specialized inpainting models. Additional utilities like ControlNet, T2I-Adapter, and Latent previews with TAESD add more granularity to your customization efforts.

On top of all these features, ComfyUI starts up incredibly quickly and operates fully offline, ensuring that your workflow remains uninterrupted. The marriage between Stable Diffusion XL and ComfyUI offers a comprehensive, user-friendly platform for AI-based art generation. It blends technological sophistication with ease of use, catering to both novices and experts in the field. The versatility and depth of features available in ComfyUI make it a must-try for anyone serious about the craft of image generation.

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DallE 3 beginners guide to creating amazing AI art

DallE 3 conversational prompt writing beginners guide 5

Prior to the release of OpenAI’s latest generation AI image creator DallE 3. If you had used other AI art generators such as Midjourney you would have needed to learn learn how to use it parameters to write prompts enabling you to create images that suit your brief. However OpenAI’s DallE 3 has change this and you can now enter a simple conversational prompt to start the drawing process, discussing what image you would like to create. The AI model allows you to write in plaintext what you would like it to draw and further questions or guidance will refine it for you as needed all through the use of simple conversational prompts.

Simply ask  DallE 3 what you would like it to draw. You can start generating images in DallE 3 within ChatGPT by simply asking it to draw. While simple prompts like “draw me a cat” work perfectly well, DallE 3 thrives on complexity. You could be as specific as asking for a “surreal painting of a cat juggling fire under a purple moon,” and the model will understand your request and start drawing for images. The more descriptive you can be in your conversations with DallE 3 the better your results will be. As the AI model will be able to understand your requirements in more detail.

There is no need to input parameters, set up a Discord channel or input any other strange commands to start creating. Simply go to ChatGPT and select the DallE 3 option under the ChatGPT-4 button situated at the top of the browser window or application. It is worth noting that you do need to be a paying subscriber of ChatGPT Plus or Enterprise to be able to use the latest DallE 3 image generator within ChatGPT.  Once you have entered a prompt DallE 3 will provide you with for very different images. You can then ask ChatGPT DallE 3 to select one of these images and alter its aspect ratio, refine what it’s picturing and more.

DallE 3 conversational prompt writing

Thanks to OpenAI’s DallE 3’s conversational prompt style understanding, which is elegantly integrated into the ChatGPT environment it is easy to access if you have already been using ChatGPT. Although there are still a few limitations and little quirks that creep into images the AI model understand not just the words you use but the context, emotions, and nuances behind them, helping you edge closer to your ultimate creative vision.

  • Aspect Ratio Customization: Ideal for diverse applications like video thumbnails, digital art, or social media posts. Different aspect ratios enable you to tailor the artwork to the medium in which it will be displayed.
  • Dynamic Zoom: Unlike static images, the zoom feature allows for an evolving piece of art. Each zoom action generates slight alterations, making each viewpoint a unique piece of art. This could be a game-changer for dynamic visual storytelling.

DallE 3 beginners guide

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Other features you can use to expand your AI art creativity

  • Feature Remixing: Let’s say you’re satisfied with the shape and subject but want a different color scheme or mood lighting. DallE 3’s feature remixing allows you to tweak specific elements without affecting the overall composition, saving you time on iterations.
  • Visual Version Control: Accidentally ventured down an artistic alley that didn’t pan out? No worries. DallE 3 allows you to backtrack by simply referencing previous versions conversationally. It’s like having an undo button but for art creation.
  • Pattern Tiling: Whether you’re designing a website background, custom wrapping paper, or even textile designs, DallE 3’s tiling option can be a tremendous asset. By asking the AI to repeat patterns, you can create intricate designs effortlessly.
  • Online Image Integration: If you’ve found an image online that you’d like to incorporate into your piece, DallE 3 can do that. It helps you amalgamate various elements, making your art truly interdisciplinary.
  • Conversational Interface: Imagine having a dialogue with your paintbrush and canvas, where each listens, adapts, and responds. The real beauty of DallE 3 lies in its ability to interact with you, refining your ideas through a conversational flow, creating an evolving piece that’s more a collaboration than a one-off request.

Areas DallE 3 needs to improve :

  • The resolution cap means it might not be ideal for large format printing.
  • Even though the AI is incredibly advanced, it’s not infallible. Expect a few oddities or imperfections in generated images.
  • With a rate limit on prompts, you might find yourself curbed if you’re in the middle of a creative spree.
  • The inability to store images in DallE 3 collections can be restrictive for those looking to build a portfolio.

DallE 3’s conversational prompt writing brings a level of accessibility and refinement to AI art creation that we haven’t seen before. It’s sophisticated yet user-friendly, marrying high-level technology with the kind of interactive, intuitive interface that makes AI art creation more of a conversation than a coding exercise.

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Creating Autogen multi AI agent apps to solve problems

Creating Autogen multi AI agent apps to solve problems more efficiently

The quest for efficiency and optimization is a constant pursuit, however with the explosion of artificial intelligence over the last 18 months or so new methods of productivity and now more of available than ever. One such innovative approach is the use of AutoGen, a framework for building multi-agent applications. Learn more about AutoGen, its application in building multi-agent systems, its integration with Postgres for data analytics, and the pros and cons of its usage. It also explores the future improvements and applications of AutoGen.

AutoGen is a framework that enables the development of large language model (LLM) applications using multiple agents that can converse with each other to solve tasks. These agents are customizable, conversable, and seamlessly allow human participation. They can operate in various modes that employ combinations of LLMs, human inputs, and tools. This dynamic and modular system allows each “agent” to perform specific tasks, thereby improving efficiency and allowing for more complex operations.

Creating multi AI agent apps

The IndyDevDan YouTube channel has created a fantastic tutorial showing how you can create a multi-AI Agent system using AutoGen at its core.

“In this video we enhance our AI charged Postgres Data Analytics agent backed by GPT-4 and we make it MULTI-AGENT. By splitting up our BI analytics tool into separate agents we can assign individual roles as if our AI was a small working software data analytics company. We build a data analytics agent, a Sr Data Analytics agent, and a Product Manager Agent. Each agent has a specific role and we can assign them special functions that only they can run.”

“Of course, we utilize our favorite AI pair programming assistant AIDER to generate a first pass of our code in no time with the help of a couple prompt engineering techniques. We build in python and use poetry as our dependency manager. Our goal is to move closer to the future of AI engineering and build a fully functional AI powered data analytics tool with ZERO code. Agentic software is likely the future, so let’s stay on the edge of AI engineering and build a multi-agent data analytics tool with AutoGen.”

Other articles we have written that you may find of interest on the subject of AutoGen and AI agents :

In a typical multi-agent application built with AutoGen, there are various agents like a Commander, a Writer, and a Safeguard. Each agent has a specialized function. For instance, the Commander generates the SQL query, the Writer runs the SQL and generates the response, and the Safeguard validates the output. This role specialization enhances the efficiency of the system.

One of the key features of AutoGen is its integration with a PostgreSQL database and the OpenAI API for natural language queries. This integration enables the user to run SQL queries through natural language prompts, simplifying the process of data querying. Multiple agents collaborate to ensure that the generated SQL queries are correct and meet the requirements, thereby enhancing data validation.

Improving productivity and problem-solving

AutoGen is designed to be flexible and adaptive. It can adapt to different configurations and problems, allowing for a more robust and versatile tool. This adaptability also contributes to the scalability of the system, enabling it to handle more complex scenarios, such as joining tables and generating reports. However, like any technology, AutoGen has its challenges. The costs associated with running multiple agents can be significant. Additionally, debugging multi-agent systems can be complex due to the interdependencies between agents.

Despite these challenges, AutoGen holds immense potential for future improvements and applications. It simplifies the orchestration, automation, and optimization of complex LLM workflows, thereby maximizing the performance of LLM models and overcoming their weaknesses. It supports diverse conversation patterns for complex workflows, allowing developers to build a wide range of conversation patterns. AutoGen also provides an enhanced inference API, offering a drop-in replacement of `openai.Completion` or `openai.ChatCompletion`. This feature allows easy performance tuning, utilities like API unification and caching, and advanced usage patterns, such as error handling, multi-config inference, context programming, etc.

AutoGen is a powerful tool for building multi-agent applications. It offers a generic multi-agent conversation framework that integrates LLMs, tools, and humans, enabling them to collectively perform tasks autonomously or with human feedback. While it has its challenges, the potential benefits and future applications of AutoGen make it a promising technology in the quest for efficiency and optimization.

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Analyzing and creating images in ChatGPT DallE 3

introduction to working with images in ChatGPT DallE 3

The image interaction capabilities of ChatGPT Plus and Enterprise plans have transformed the way users interact with visual data and images. OpenAI has recently released its third-generation AI art generator which it has integrated into both  Microsoft’s Bing  Image Creator and its own ChatGPT AI. These capabilities range from image description and analysis to artistic style identification, image captioning for social media, and even advanced data analysis for non-text data interaction. As well as the ability to now ask ChatGPT to create pictures, images and infographics and more using the DallE 3 image generator.

This guide will provide an introduction to these features, providing an introduction to analyzing and creating images in ChatGPT DallE 3. One of the most basic yet powerful features of ChatGPT is its ability to describe images. This feature allows users to gain a deeper understanding of the visual content they are dealing with. For instance, Janet, a user of ChatGPT 4 on a Plus account, frequently uses this feature to interact with images. She finds it particularly useful when dealing with complex images that require a detailed description.

Analyzing  images in ChatGPT DallE 3

In addition to describing images, ChatGPT can also identify their artistic style. This feature is particularly useful for art enthusiasts and professionals who want to gain insights into the artistic elements of an image. The AI tool can suggest artists who create similar art, providing users with a broader perspective on the art world.

 

Social media managers will find the image captioning feature of ChatGPT particularly useful. The AI tool can generate captions for images, making it easier for users to create engaging social media posts. This feature not only saves time but also ensures that the captions are relevant and engaging.

ChatGPT’s ability to compare two images is another feature that sets it apart. The AI tool provides a description and comparison of each image, allowing users to understand the similarities and differences between them. This feature can be particularly useful in fields like design and photography, where comparative analysis is often required.

The Advanced Data Analysis mode of ChatGPT is a game-changer for users who interact with non-text data. This feature allows users to interact with data, including images and videos. For instance, users can ask ChatGPT to analyze a PDF file and provide bullet points summarizing the content. This feature simplifies the process of data analysis, making it accessible to a wider audience.

Creating images using ChatGPT DallE 3

Image editing, transformation, and analysis are other areas where ChatGPT shines. The AI tool offers various filters and edits, allowing users to enhance their images. Users can ask ChatGPT to download an edited image, which it provides via a link. This feature makes it easier for users to manage their edited images.

ChatGPT also excels in creating GIFs and MP4s. Users can ask the AI tool to adjust the size of images and create GIFs or MP4s. This feature is particularly useful for users who want to create engaging visual content for their social media platforms or websites. Face detection in images is another feature that ChatGPT offers. While the AI tool can detect faces in images, it struggles with abstract faces.

OpenAI’s introduction to ChatGPT  DallE 3

 Previous articles we have written that you might be interested in on the subject OpenAI ChatGPT DallE 3 :

The image interaction capabilities of ChatGPT Plus and Enterprise plans offer a wide range of features that can revolutionize the way users interact with visual data. From image description and analysis to artistic style identification, image captioning for social media, and even advanced data analysis for non-text data interaction, these features provide users with a comprehensive tool for dealing with visual data. As Janet encourages, users should continue exploring the capabilities of ChatGPT and other large language models to fully leverage their potential.

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Creating Memories: Why Melbourne’s Function & Event Venues Are a Must-Try

When creating unforgettable memories, the choice of venue plays a crucial role. Whether you’re planning a wedding, a corporate event, a milestone birthday celebration, or any other special occasion, Melbourne’s function and event venues offer a diverse and vibrant backdrop that can transform any gathering into a remarkable experience. 

In this blog post, we’ll explore why Melbourne’s event venues like Harbour Kitchen are a must-try, highlighting their unique features, cultural richness, and the endless possibilities they offer to make your event special.

1. Diversity of Venues

Melbourne is a city that prides itself on its diverse cultural heritage, and this diversity is beautifully reflected in its event venues. From historic mansions and lush gardens to modern, state-of-the-art conference centers, you’ll find various venues that cater to multiple tastes and preferences. This diversity ensures that you can find the perfect setting to match the theme and mood of your event, whether it’s an intimate family gathering or a grand corporate gala.

2. Iconic Landmarks

Melbourne boasts a plethora of iconic landmarks that can serve as a stunning backdrop for your event. Imagine hosting a cocktail party overlooking the stunning Yarra River or saying “I do” with the iconic Flinders Street Station in the background. These landmarks add a touch of magic to your event and make it easy for your guests to find and navigate the venue.

3. Culinary Excellence

Melbourne is renowned for its vibrant food scene, and its event venues are no exception. Many venues collaborate with top-tier chefs and caterers to provide an exceptional dining experience for your guests. Whether you’re planning a formal dinner, a casual brunch, or an international buffet, you can expect a culinary journey that will leave a lasting impression on your guests’ taste buds.

4. Cultural Enrichment

Melbourne is often referred to as Australia’s cultural capital, and this reputation extends to its event venues. You can host your event in venues steeped in history and culture, such as the iconic Melbourne Town Hall or the Royal Exhibition Building. These venues offer a sense of grandeur and an opportunity to immerse your guests in Melbourne’s rich cultural heritage.

5. Stunning Natural Beauty

For those who appreciate the beauty of nature, Melbourne’s function and event venues have you covered. The city has numerous parks, gardens, and waterfront venues that offer breathtaking views and a tranquil atmosphere. Whether you prefer a garden wedding, a riverside ceremony, or a rooftop party with panoramic city views, Melbourne’s natural beauty can elevate your event to the next level.

6. Professional Event Services

Melbourne’s event venues are well-equipped with experienced event professionals who can help you plan and execute your event seamlessly. From event coordinators and decorators to audiovisual technicians and security personnel, you’ll have access to a dedicated team of experts committed to making your event successful.

7. Accessibility

Melbourne’s function and event venues are conveniently located and easily accessible. The city’s well-connected public transportation system ensures that your guests can easily reach the venue, reducing logistical challenges and making it a stress-free experience for everyone.

8. Year-Round Appeal

One of Melbourne’s most significant advantages as an event destination is its year-round appeal. Regardless of the season, you’ll find venues to accommodate your event needs. From cozy winter weddings in historic venues to summer rooftop parties, Melbourne’s climate and venue options ensure you can plan your event anytime.

9. Creativity and Customization

Melbourne’s event venues offer a blank canvas for your creativity. Whether you have a specific theme or want to create a unique experience, these venues provide the flexibility to customize every event detail. You can bring your vision to life, from lighting and decor to entertainment and activities.

10. Unforgettable Memories

Ultimately, what truly matters is the memories you create at your event. Melbourne’s function and event venues provide the perfect backdrop for those memorable moments, whether it’s the joyous laughter of friends and family, the heartfelt exchange of vows, or the successful conclusion of a corporate conference. These venues can turn ordinary gatherings into extraordinary memories that will be cherished forever.

In conclusion, Melbourne’s function and event venues are a must-try for anyone looking to create unforgettable memories. With their diversity, cultural richness, stunning settings, and professional services, these venues offer the perfect recipe for successful and memorable events. So, whether you’re planning a wedding, a corporate event, or a special celebration, consider Melbourns your destination for crafting memories that will last a lifetime. Melbourne’s venues are not just places but the stages where your memories come to life.