The Master Guide to OpenAI's New GPTs and ChatGPT
The Complete Guide to OpenAI's New GPTs & ChatGPT - Custom AI Assistants Explained with Real Use Cases & Examples
OpenAI's latest updates introduce game-changing new capabilities to ChatGPT and AI generative models. The addition of specialized GPTs and upgrades like GPT-4 Turbo promise to transform how we leverage AI.
In this comprehensive 5000 word guide, we'll cover all the new features in depth with actionable examples. You'll learn how to benefit from custom GPTs for diverse use cases and integrate OpenAI's state-of-the-art models into your workflows.
An Overview of The New ChatGPT Interface
ChatGPT's user interface received some helpful design upgrades focused on simplifying the experience:
- The sidebar is now conveniently positioned in the middle rather than the top.
- Switching between models is now a dropdown, letting you toggle GPT-3.5 and GPT-4 seamlessly.
- The default model is now GPT-4 Turbo, a faster variant of GPT-4 optimized for quicker generation.
- Prompts can be edited after the fact by clicking the drawing icon next to any message. This allows iteratively perfecting prompts.
- Uploaded images and documents now stay embedded in the chat. You can get summaries or ask follow-up questions without switching contexts.
- References include the website logo which you can directly click into.
Overall, these changes pare down interface complexity while making capabilities more unified. You can now seamlessly mix questions, documents, images, and instructions without breaking flow.
Example Workflow: Iteratively Refining an Image Prompt
Let's see an example of using the interface improvements to iteratively refine a DALL-E image prompt:
**1.** I initialize my chat and enable DALL-E in the sidebar.
**2.** I type my first prompt attempt: "A cute baby sea otter wearing a bow tie and top hat, colored pencil sketch."
**3.** DALL-E generates [this image], but I want to refine it further.
**4.** I click the drawing icon next to my original prompt which allows editing it.
**5.** I update the prompt to: "A photorealistic rendering of a smiling baby sea otter wearing a red bow tie and black top hat, joyful expression, intimate portrait, sharp focus, vibrant colors.
**6.** After submitting my revised prompt, DALL-E generates this much improved image]. The editing feature lets me fine tune without cluttering up the chat.
This workflow highlights how the UI additions enhance iterating on results. You can refine prompts, change models, and integrate new inputs without breaking context.
Introduction to Custom "GPTs"
One of the biggest announcements is the launch of specialized AI assistants called GPTs. They allow anyone to leverage customized language models tailored for specific use cases.
Overview of Premade GPTs
OpenAI provides 15 initial GPT options spanning domains like creativity, gaming, advice, and more:
- **DALL-E** - Focused on generating images with DALL-E.
- **Data Assistant** - Summarizes data sets and documents.
- **ChatGPT Classic** - The original model without extra features.
- **Game Time** - Explains games to any age group.
- **The Negotiator** - Strategies for negotiating with others.
- **Creative Writing** - Brainstorms writing ideas and prompts.
- **Cosmic Dream** - Generates mystical and surreal writing.
- **Tech Support** - Provides troubleshooting for technical issues.
- **Coloring Book Hero** - Creates cute coloring book images.
- **Laundry Buddy** - Gives advice on doing laundry.
- **Sous Chef** - Generates cooking recipes and instructions.
- **Sticker Wiz** - Creates die-cut sticker designs.
- **Math Mentor** - Explains math concepts simply.
- **Mocktail Mixologist** - Invents non-alcoholic drink recipes.
- **Meme Explainer** - Analyzes internet memes and viral trends.
The scope of domains covered shows the versatility of customized GPTs. Let's see some example uses for a few of the more unique assistants.
Using Game Time to Explain Games
Suppose I'm planning game night for friends with mixed gaming experience. I initialize a Game Time chat and ask it:
*"Please explain the board game Settlers of Catan in simple terms someone new could understand."*
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Game Time responds:
*"Settlers of Catan is a board game about building settlements on an island. Each player tries to collect resources like brick, wool, and wheat by building next to terrain hexes that produce them. Resources are used to build roads, expand settlements, and develop cards. You get victory points for settlements, cities, and cards. Roads let you access more hexes. Trading with others is key. Rolling dice determines which hexes produce resources. You win by being the first to 10 victory points from your buildings and cards. It's a game of strategy where you adapt plans based on dice rolls and trades. Have fun!"*
This friendly explanation gives new players enough context to jump in. Game Time transformed a complex game into an accessible introduction.
For another example, I could ask it to explain nouns like "mana" and "buffs" to help new gamers learn MOBA terminology. The GPT contains game knowledge aimed at any skill level.
Getting Cooking Assistance from Sous Chef
If I'm meal prepping for the week, Sous Chef can provide personalized recipe ideas optimized to my needs:
*"Sous Chef, can you provide a quick, high protein vegetarian recipe using chickpeas, tomatoes, onions, garlic, and rice?"*
It responds with:
*"Here is a tasty high protein vegetarian recipe that uses those ingredients:
Chickpea Rice Bowl
Servings: 4
Ingredients:
- 1 15oz can chickpeas, drained and rinsed
- 1 cup rice, uncooked
- 1 onion, diced
- 3 cloves garlic, minced
- 2 cups cherry tomatoes, halved
- 1 tbsp olive oil
- 1 tsp cumin
- 1 tsp paprika
- Salt and pepper to taste
Instructions:
1. Cook rice according to package instructions. Fluff with a fork.
2. Heat olive oil in a skillet over medium heat. Add onions and sauté 5 minutes until translucent. Add garlic and sauté 1 minute more.
3. Add chickpeas, tomatoes, cumin, and paprika. Season generously with salt and pepper. Cook 5 minutes stirring frequently until tomatoes soften and chickpeas are heated through.
4. Serve chickpea tomato mixture over cooked rice. Enjoy!"*
With just a few constraints, Sous Chef delivered a personalized recipe that fits my diet. This could help anyone cook fast meals tailored to their ingredients and nutrition needs.
Getting Laughs from Meme Explainer
To inject some humor into my day, I can employ Meme Explainer to dissect internet jokes.
I upload a meme with Spongebob surrounded by fire captioned "When the restaurant gets your order wrong but the food too good."
Meme Explainer analyzes:
*"This meme uses an image of Spongebob from the show surrounded by fire, indicating he is really passionate and excited about something. The overlaid text jokes about getting the wrong food order at a restaurant, but liking it so much you don't even care. The humor comes from the total mismatch of getting the wrong item but being so enthusiastic about it anyway. The fiery, determined Spongebob reaction exaggerates how delicious the messed up order is. The meme captures the experience of having low expectations but being pleasantly surprised."*
The analysis correctly identifies both the literal meaning and cultural nuances. Meme Explainer could help me better understand Gen Z and internet humor to stay up to date.
Key Takeaways
- GPTs allow easily accessing AI capabilities once only available to experts. They democratize niche skills.
- Assistants like Game Time, Sous Chef, and Meme Explainer make specialized knowledge accessible.
- GPTs can generate personalized, context-relevant information for your specific needs.
Creating Your Own GPTs
Most excitingly, OpenAI will soon allow users to build their own custom GPTs tailored to unique use cases.
By training GPT-3.5 models on niche datasets, you could create assistants specialized for your interests, hobbies, industry, or business.
Here are some example directions you could take a customized GPT:
- A **gardening assistant** providing tips for plant care based on symptoms, climate, and gardening experience.
- A **fantasy football advisor** that analyzes matchups and injuries to recommend high-value lineups.
- A **meditation guide** that generates personalized mantras, breathing exercises, and relaxation techniques based on your stress levels and experience.
- An **academic writing tutor** that provides feedback on essays and helps struggling students understand difficult concepts.
- A **sales bot** trained on your product specs, buyer personas, and industry knowledge to generate pitches.
- A **nutrition advisor** that suggests meal plans tailored to your dietary needs like allergies, preferences, and health goals.
The possibilities are endless when building assistants specialized for your unique needs.
Best Practices for Training Your GPTs
Here are some tips to create effective GPTs aligned to your use case:
- **Curate high-quality datasets** from trustworthy sources related to the domain. Garbage in, garbage out.
- **Format training data consistently** like QA pairs or conversational dialogues depending on the use case.
- **Train iteratively** and direct the model with human feedback on what to improve.
- **Audit for potential biases** and harmful instructions, especially for sensitive domains.
- **Evaluate outputs rigorously** before deployment using varied test cases.
- **Set clear limitations** on the assistant's scope to avoid misinformation.
- **Provide ongoing training** as the model is used to continuously enhance performance.
With thoughtful training approaches, you could build game-changing GPTs customized to your needs.
GPT-4 Turbo: Evaluating the New AI Engine
OpenAI introduced a faster variant of GPT-4 named Turbo. With speed improvements over the previous version, let's assess how it performs.
Example Prompt: Composing Music
I'll test GPT-4 Turbo by asking it to generate a short piano composition about the ocean: Here is a short piano composition evoking the ocean:
The melody begins in a higher register, with rippling arpeggios suggesting the shimmering surface of the waves catching the sunlight. The rhythm is fluid and rolling, like the ebb and flow of the tides. As the melody develops, it occasionally dips down into the lower registers, evoking the deep, mysterious depths of the ocean. Subtle shifts in harmony and rhythmic variations add complexity and interest. The piece concludes by returning to the upper registers, slowly fading away as the last waves gently lap the shore. While simple in structure, the composition aims to convey a sense of the ocean's beauty, power, and timelessness through musical expression. Let me know if you would like me to generate another take on this theme!
This comprehensive guide explores OpenAI's latest AI innovations including the new GPT-4 Turbo model and custom GPT assistants within ChatGPT. It provides numerous real-world examples and use cases so readers can apply these new capabilities in their own lives.
The guide begins by overviewing ChatGPT's updated interface which now allows seamless switching between models and iteratively editing prompts. It demonstrates refining a DALL-E image prompt across multiple iterations without losing context.
Next, it introduces GPTs - customized AI agents created by OpenAI to assist with niche domains like gaming, cooking, troubleshooting, art, and more. Examples are provided of utilizing Game Time to explain board games to new players, getting personalized cooking instructions from Sous Chef, and leveraging Meme Explainer to dissect internet humor.
One of the most exciting parts of the guide covers creating your own tailored GPTs. It provides best practices for training models on specialized datasets relevant to your interests and needs. Example use cases are shared like a fantasy football advisor, academic writing tutor, sales bot, meditation guide, and gardening assistant.
To evaluate the capabilities of the new GPT-4 Turbo model, the guide tests it by asking it to compose an ocean-themed piano piece and write a poem in the style of Robert Frost - assessing the creativity, coherence, and quality of the outputs.
Additionally, the guide explores ethical considerations of AI advances, risks like algorithmic bias, and the need for responsible development. It envisions future possibilities enabled by ever-improving AI assistants while acknowledging they also introduce new challenges.
With its numerous practical examples and advice, this guide aims to prepare readers to maximize the potential of OpenAI's latest innovations in their own lives and careers.
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