Make an impossible dream possible with AI.
Whether your vision requires AI integration in a new app or an existing one, Logic will help you deploy the power of AI.
today to start the conversation.
Why AI
Not all applications require AI. But, in many cases, AI and especially Generative AI, can help solve problems that traditional programming can’t. The key is to decide the answer to a few questions.
Would leveraging the ability of a machine to access and analyze mass amounts of data help you more quickly get to an answer that is of value?
Would generative learning provide better content that would be a game changer.
Check out our TechNotes!
Find out more about AI. Download our TechNotes for more inciteful information.
Check out our TechNotes!
Find out more about AI. Download our TechNotes for more inciteful information.
Logic bridges your business needs and AI tools. We can enhance efficiency, automate processes, provide predictive analysis, and offer business intelligence. With our expertise in research, innovation, and team-building, we can help you navigate AI effectively. Let’s collaborate to implement the best tools for your business growth.
Customized tools tailored to your business
At Logic, we take the time to understand your unique needs. We are committed to tailoring precise AI tools to solve your specific challenges. Here’s how we do it.
Define the AI Solution Right for Your Business
We’ll work with you to identify the AI application and model needed for your project, and then train the model accordingly.
Set Up Your AI Ecosystem
We’ll define the environment in which your AI application will function.
Build Better Results Together
We will continue to evolve the AI implementation to ensure you get the results you need.
Developing Your Strategy
Click on each title to view the key elements of AI strategy.
What do you want to achieve with the application and where can AI be integrated for benefit with other types of programming like web and mobile applications.
Traditional or Generative AI, or both.
Determine what is best for your application. (Don’t attempt to build your own–that is a very time consuming and expensive process. There are many good models already in the market.)
With Generative AI, training a model with the correct prompts is key to leveraging its power. Find a resource that can help you with “Prompt Engineering” to test, train and refine the model. (We have expertise here.)
What will you need in terms of integration with AI platforms such as GPU-based servers or hosting service providers.
Traditional vs Generative
Two prominent types of AI are Traditional AI and Generative AI, each with distinct characteristics and uses.
Click on each tab to learn the key differences.
Traditional AI: Task-specific and rule-based.
Generative AI: Versatile and creative, capable of generating new and unique content.
Traditional AI: Often relies on supervised learning with labeled data.
Generative AI: Utilizes unsupervised or semi-supervised learning to discover patterns in unlabeled data.
Traditional AI: Static and requires manual updates.
Generative AI: Dynamic and self-improving with new data.
Traditional AI: Used in specific applications like fraud detection, recommendation systems, and automated customer service.
Generative AI: Employed in creative fields like content generation, art, music, and complex problem-solving.
Both AI approaches have their unique strengths and are suited for different types of tasks. We can help you decide what is needed for your company—Traditional AI, Generative AI, or a blend of both.
Experience is key
“Logic is fortunate to have years of experience in understanding and deploying new technology. We know how to build a team with the capability to utilize and adapt to different types of technology, and now, AI. In partnership with our clients, we can help clarify how AI can solve their business problems.” – Jimmy Hsiao, Chief Executive Officer & Founder
