Artificial Intelligence has been making waves in many fields, and one area where it shines is in language models. These models can understand and generate human-like text, making them incredibly useful for a variety of applications. But what if you could harness the power of several top-notch language models all in one place? That’s where ChatLLM by Abacus AI comes into play.
In this blog post, we’ll explore how ChatLLM allows you to tap into multiple state-of-the-art Large Language Models (LLMs) like GPT-4 Omni, Claude Sonnet 3.5, Gemini 1.5 Pro, and more. We’ll walk through some exciting examples, like creating a 2D survival game and a pixel art creator, all using simple prompts. Whether you’re a developer, a tech enthusiast, or just curious about AI. This post will show you how to unlock new possibilities with ChatLLM.
Youtube Chapters:
00:00 Introduction
Overview of what we’ll cover and the exciting features of ChatLLM.
00:21 Comparing ChatLLM with Claude Sonnet 3.5
Initial thoughts on Claude Sonnet 3.5 and introducing ChatLLM’s capabilities.
00:56 Getting Started with ChatLLM
How to access ChatLLM through Abacus AI and an overview of the pricing.
01:37 Demonstration:
Creating a 2D Survival Game with GPT-4 Omni
Step-by-step guide on using a detailed prompt to generate a 2D game.
Exploring the artifact window and interacting with the generated game.
03:18 Demonstration: Creating the Game with Claude Sonnet 3.5
Recreating the game using Claude Sonnet 3.5 within ChatLLM.
Discussing the similarities and differences in output.
04:13 Demonstration:
Creating a Pixel Art Creator with Gemini 1.5 Pro
Generating a pixel art creator application using a detailed prompt.
Interacting with the application and testing its features.
05:15 Comparing Results between ChatLLM and Claude
Analyzing the outputs from different LLMs and discussing performance.
06:16 How to Extract Code from the Artifact Window
A quick tutorial on accessing and copying the generated code for your own use.
06:32 Selecting Different LLMs in ChatLLM
Exploring the variety of LLMs available in ChatLLM and how to switch between them.
06:56 Conclusion and Final Thoughts
Summing up the benefits of using ChatLLM and encouraging viewers to try it out.
What is ChatLLM?
ChatLLM is a platform developed by Abacus AI that gives you access to several advanced language models in one convenient interface. Instead of being limited to a single model, you can choose from a variety of options to find the one that best suits your needs. This flexibility is a game-changer for anyone looking to experiment with AI, as it opens up a world of possibilities.
One of the standout features of ChatLLM is its artifact window. This feature allows you to run code directly within the chat interface. It makes it easy to test and interact with the code generated by the AI models. It’s similar to the artifact window in Claude’s platform, but with the added advantage of supporting multiple models.
Getting Started with ChatLLM
Getting started with ChatLLM is straightforward. Here’s how you can access it:
- Visit Abacus AI’s Website: Go to Abacus AI and look for the ChatLLM product. You can find it either by clicking on “ChatLLM” at the top of the page or by hovering over “Products” and selecting “ChatLLM.”
- Sign Up: If you’re new to Abacus AI, you’ll need to create an account. The process is quick and easy.
- Pricing: ChatLLM is priced at $10 per user per month, which is half the price of some other AI platforms like ChatGPT Plus. Despite the lower cost, you get access to a range of powerful language models.
- Choose Your Model: Once you’re in, you can select from various models. The default is GPT-4 Omni, but you can switch to others like Claude Sonnet 3.5, Gemini 1.5 Pro, and more.
Exploring the Artifact Window
Before we dive into examples, let’s talk about the artifact window. This feature is incredibly useful because it lets you see and interact with the code generated by the AI in real-time. When you input a prompt that involves code, the artifact window will display the code. It will also often provide a preview of how it works.
This means you can test applications, see results immediately, and even extract the code for your own use. It’s a fantastic way to experiment with AI-generated code without needing to switch between different tools.
Creating a 2D Survival Game with GPT-4 Omni
Now, let’s get hands-on. We’ll start by creating a simple 2D survival game using GPT-4 Omni.
Step 1: Choose Your Model
- In ChatLLM, ensure that you’re using GPT-4 Omni. You can select it from the dropdown menu at the top.
Step 2: Input the Prompt
- Copy and paste the following prompt into the chat:vbnetCopy code
Create a simple playable 2D survival game using React and Scalable Vector Graphics (SVG). The game's goal is to achieve the highest score possible by surviving as long as you can on a 10x10 grid-based board. Players control a character that moves one cell at a time in four directions using arrow keys or on-screen buttons. Avoid the 3 to 5 AI-controlled opponents, etc.
Step 3: Generate the Game
- Hit enter and watch as GPT-4 Omni processes your request. The artifact window will load, showing you the code and a preview of the game.
Step 4: Interact with the Game
- In the preview, you can play the game directly. Use the arrow keys to move your character and try to avoid the AI-controlled opponents.
What Happens Behind the Scenes
GPT-4 Omni breaks down your prompt, plans out the code, and generates a React application using SVG for graphics. The artifact window displays the code and runs it, allowing you to interact with the game immediately.
Recreating the Game with Claude Sonnet 3.5
To showcase the flexibility of ChatLLM, let’s recreate the same game using a different model: Claude Sonnet 3.5.
Step 1: Switch Models
- In the dropdown menu, select Claude Sonnet 3.5.
Step 2: Input the Same Prompt
- Use the same game creation prompt as before.
Step 3: Generate and Compare
- Hit enter and let Claude Sonnet 3.5 process the request. Once again, the artifact window will display the code and the game preview.
Observations
While both models generate a playable game, you might notice subtle differences in the code and the game’s behavior. This demonstrates how different models interpret the same prompt, which can be valuable depending on your specific needs.
Creating a Pixel Art Creator with Gemini 1.5 Pro
Let’s try something different by creating a pixel art creator application using Gemini 1.5 Pro.
Step 1: Select Gemini 1.5 Pro
- Choose Gemini 1.5 Pro from the model options.
Step 2: Input the Prompt
cssCopy codeCreate a React-based pixel art creator component with customizable canvas sizes (8x8, 16x16, 32x32). Include drawing, erasing, and fill tools, undo/redo capabilities, and an export feature for high-quality PNG files. Implement UI/UX elements with a clear layout, tool selection, color selection, and a color palette, etc.
Step 3: Generate the Application
- After hitting enter, Gemini 1.5 Pro will generate the code, and the artifact window will display the pixel art creator.
Step 4: Test the Application
- Use the tools to draw on the canvas. Try changing the canvas size, selecting different colors, and experimenting with the undo/redo features.
Advantages of Using Gemini 1.5 Pro
Gemini 1.5 Pro might handle UI/UX elements differently, providing a unique take on the application. This underscores the benefit of having access to multiple models—you can choose the one that delivers the best result for your project.
Comparing Results Across Models
Using different models for the same or similar prompts can yield varied results. Here’s what you might notice:
- Code Structure: Different models may structure the code differently, which can affect readability and maintainability.
- Functionality: Some models might include additional features or handle certain functionalities better.
- Performance: The efficiency of the generated code can vary, impacting how smoothly the application runs.
By experimenting with multiple models, you can find the best fit for your specific needs.
Extracting and Using the Generated Code
One of the great features of the artifact window is the ability to access the generated code easily.
How to Extract the Code:
- Navigate to the Code Tab: In the artifact window, click on the “Code” tab if you’re not already there.
- Copy the Code: There should be a “Copy” button or you can select the code manually and copy it.
- Use in Your IDE: Paste the code into your preferred Integrated Development Environment (IDE) to run it locally or make further modifications.
Benefits:
- Customization: You can modify the code to suit your specific requirements.
- Learning Opportunity: It’s a great way to learn how certain applications are built, as you can study the generated code.
- Real-world Application: Use the code as a starting point for your projects, saving time on initial development.
Why Choose ChatLLM?
Access to Multiple Models:
- Having the ability to choose from various LLMs like GPT-4 Omni, Claude Sonnet 3.5, and Gemini 1.5 Pro means you’re not limited to the capabilities or quirks of a single model.
Cost-Effective:
- At $10 per user per month, ChatLLM is an affordable option, especially considering the access to multiple advanced models.
User-Friendly Interface:
- The platform is intuitive, making it easy for both beginners and experienced users to navigate and utilize its features.
Powerful Features:
- The artifact window enhances the user experience by allowing code execution and interaction directly within the chat.
Flexibility:
- Whether you’re looking to generate code, create content, or explore AI capabilities, ChatLLM offers a versatile platform to meet your needs.
Final Thoughts
Artificial Intelligence is rapidly evolving, and tools like ChatLLM are making it more accessible than ever. By providing access to multiple advanced language models in one place, ChatLLM empowers users to explore, create, and innovate without the constraints of traditional platforms.
Whether you’re a developer looking to speed up your coding process, a student eager to learn more about AI, or someone interested in experimenting with new technologies, ChatLLM offers a wealth of opportunities.
Call to Action:
Why not give ChatLLM a try? Visit Abacus AI’s ChatLLM and see how it can enhance your projects. With its affordable pricing and powerful features, it’s a tool worth exploring.
Additional Resources:
- Abacus AI: https://www.abacus.ai
- ChatLLM Product Page: https://www.abacus.ai/chatllm
- Claude’s Artifact Window: https://claude.ai
