Power your app with
custom AI models
Create multiple AI models in one app, with ChatGPT, Google Gemini or Anthropic Claude engines.
Set each model's knowledge, parameters and engine out of the box.
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Build and test your AI models on one page
Use Licode's AI Studio to create different models, each with an underlying LLM engine and background knowledge.
In the AI playground, you can chat with your created models to test them and edit them on the same page.
Feel free to try different instructions and technologies to get the perfect model.
Then, write prompts on the playground to check the model's answers.
What makes an AI model unique
Create your AI model by modifying its:
Underlying engine
Pick a technology with one click among seven LLM engines developed by OpenAI, Google and Anthropic.
Knowledge
Add text instructions and upload your data or PDF files to make the model your own.
Parameters
Set your model's temperature and Top P parameters on Licode's interface.
Make prompts count with your models
Licode provides a built-in AI infrastructure to power your app with LLMs easily.
Text generation
Craft a prompt with your user's inputs to produce specific results.
Image generation
Generate an image for your user with image generation models.
Efficient knowledge base
Licode's built-in RAG (Retrieval-Augmented Generation) system helps your models understand a vast amount of knowledge with minimal resource usage.
Browse our templates
StrawberryGPT
StrawberryGPT is an AI-powered letter counter that can tell you the correct number of "r" occurrences in "Strawberry".
AI Tweet Generator
An AI tool to help your audience generate a compelling Twitter / X post. Try it out!
YouTube Summarizer
An AI-powered app that summarizes YouTube videos and produces content such as a blog, summary, or FAQ.
Don't take our word for it
I've built with various AI tools and have found Licode to be the most efficient and user-friendly solution. In a world where only 51% of women currently integrate AI into their professional lives, Licode has empowered me to create innovative tools in record time that are transforming the workplace experience for women across Australia.
Licode has made building micro tools like my YouTube Summarizer incredibly easy. I've seen a huge boost in user engagement and conversions since launching it. I don't have to worry about my dev resource and any backend hassle.
FAQ
How many AI models can I build on my app?
You can build as many models as you want!
Licode places no limits on the number of models you can create, allowing you the freedom to design, experiment, and refine as many data models or AI-powered applications as your project requires.
Which LLMs can we use with Licode?
Licode currently supports integration with seven leading large language models (LLMs), giving you flexibility based on your needs:
- OpenAI: GPT 3.5 Turbo, GPT 4o Mini, GPT 4o
- Google: Gemini 1.5 Pro, Gemini 1.5 Flash
- Anthropic: Claude 3 Sonnet, Claude 3 Haiku
These LLMs cover a broad range of capabilities, from natural language understanding and generation to more advanced conversational AI. Depending on the complexity of your project, you can choose the right LLM to power your AI app. This wide selection ensures that Licode can support everything from basic text generation to advanced, domain-specific tasks such as image and code generation.
What is the temperature of an AI model?
The temperature of an AI model, particularly in the context of language models like those used in natural language processing, refers to a parameter that controls the randomness of the model’s output. Here’s how it works:
- Low Temperature (e.g., 0.1 - 0.5)
When the temperature is set low, the model tends to produce more deterministic and focused responses. It favors high-probability words, leading to outputs that are more predictable and coherent, but potentially less creative or diverse. - High Temperature (e.g., 0.7 - 1.0)
A higher temperature setting introduces more randomness into the output. The model will sample from a broader range of possible words, which can result in more creative and varied responses, but it may also produce less coherent or relevant results. - Balancing Creativity and Coherence
Adjusting the temperature allows users to balance creativity and coherence based on the specific needs of their application. For example, a lower temperature might be suitable for tasks requiring accuracy, like summarizing information, while a higher temperature might be better for creative writing or brainstorming sessions.
By tuning the temperature, users can control the level of randomness and creativity in the model's responses, making it a powerful tool for tailoring outputs to specific use cases.
What is the top P of an AI model?
Top-p sampling is a technique used to control the randomness and quality of generated text in AI models. Instead of selecting from all possible words (tokens) at each step, top-p sampling restricts the selection to a subset of words based on their cumulative probabilities.
Here’s how it works:
- Cumulative Probability
In top-p sampling, the model ranks the possible next words based on their probabilities and calculates their cumulative probabilities. For example, if the top 10 words have probabilities of 0.2, 0.15, 0.1, and so on, the cumulative probability of the first three words might be 0.2 + 0.15 + 0.1 = 0.45. - Choosing p
The parameter p (a value between 0 and 1) defines the threshold for the cumulative probability. If you set p = 0.9, for instance, the model will include the smallest number of top words whose cumulative probability reaches 0.9. This means that only the most probable words are considered for generating the next token. - Benefits
- Diversity: Top-p sampling allows for a diverse range of outputs since it doesn’t rely on the highest probability word alone. It can generate creative responses while still being relevant.
- Control: By adjusting the value of p, users can fine-tune the level of randomness. A lower p value (e.g., 0.8) leads to more focused outputs, while a higher p value (e.g., 0.95) results in more variety.
- Comparison with Temperature
While temperature adjusts the probabilities of all words, top-p sampling narrows down the choices based on cumulative probability. Using both parameters together can yield optimal results, balancing coherence and creativity.
By implementing top-p sampling, users can enhance the generation of text in AI models, making it possible to produce more meaningful and contextually appropriate responses.
What can I build with Licode's editor?
With Licode's editor, you can build a wide range of AI-powered applications, including:
- Interactive AI chatbots to engage users or automate customer service.
- AI-powered forms that intelligently collect and process user data.
- Internal tools like data analysis dashboards or workflow automation apps.
- Monetized apps that offer subscription models, allowing you to generate revenue from your audience.
These use cases can all be built as white-label products featuring your branding.
Do I need any technical skills to use Licode?
Not at all! Our platform is built for non-technical users.
The drag-and-drop interface makes it easy to build and customize your AI tool, including its back-end logic, without coding.
Can I use my own branding?
Yes! Licode allows you to fully white-label your AI tool with your logo, colors, and brand identity.
Is Licode free to use?
Yes, Licode offers a free plan that allows you to build and publish your app without any initial cost.
This is perfect for startups, hobbyists, or developers who want to explore the platform without a financial commitment.
Some advanced features require a paid subscription, starting at just $20 per month.
The paid plan unlocks additional functionalities such as publishing your app on a custom domain, utilizing premium large language models (LLMs) for more powerful AI capabilities, and accessing the AI Playground—a feature where you can experiment with different AI models and custom prompts.
How do I get started with Licode?
Getting started with Licode is easy, even if you're not a technical expert.
Simply click on this link to access the Licode studio, where you can start building your app.
You can choose to create a new app either from scratch or by using a pre-designed template, which speeds up development.
Licode’s intuitive No Code interface allows you to build and customize AI apps without writing a single line of code. Whether you're building for business, education, or creative projects, Licode makes AI app development accessible to everyone.