AI Development Services
In today’s digital landscape, harnessing the power of artificial intelligence (AI) is no longer just an option – it’s a necessity for businesses looking to stay ahead of the curve and drive innovation. At Simple IT Firm, we are strong advocates for the use of Generative AI in the enterprise, offering a comprehensive range of services to help extract the most value out of this exciting technology!
Unlock new opportunities with our AI Development Services
Our AI developers will assist you throughout the process from ideation to delivery of your application to customers.
Use Case Search
Identifying the right use cases for AI implementation is crucial for maximizing the value and ROI of your AI initiatives. Our use case search services leverage advanced data analytics and machine learning techniques to analyze your business processes, uncover hidden opportunities, and prioritize AI use cases based on their potential impact and feasibility.
Model Assessment
Generative Models have varying complexity and create content in different modalities from text and images to music and 3D renderings. This makes choosing the right model for your use case a daunting task – Simple IT Firm can help! Our team of AI experts will rigorously evaluate models such as GPT-4, Gemini, and Claude to select the model that meets requirements for your particular use case.
Custom LLM Development
Large Language Models (LLMs) are a family of generative models that generate text with a level of coherence and variability nearing that of humans. At Simple IT Firm, we specialize in custom LLM development, tailoring state-of-the-art language models to suit your specific industry, domain, and use case.
Report Generation
We can help you generate insightful and actionable reports to drive data-driven decision making within your organization. Our AI-powered summarization tools automate the process of analyzing complex data sets, extracting key insights, and presenting them in clear, concise, and visually compelling formats.
Our Workflow
1
Consultation
We start by scheduling a consultation session with your team to understand your business objectives, challenges, and opportunities.
Use case search
A range of use cases is explored, spanning domains such as content generation, creative design, process automation, and customer engagement, to uncover opportunities for innovation and value creation.
2
3
Model Development/Selection
If a suitable pre-trained model is available, we evaluate its performance and adaptability to your use case. Alternatively, we develop custom Generative AI models tailored to your unique needs, leveraging state-of-the-art techniques and technologies.
Model Evaluation
We leverage a combination of quantitative metrics, qualitative analysis, and user feedback to evaluate the outputs generated by the models and identify areas for improvement.
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5
Delivery of solution
Once the Generative AI solution has been validated and approved, we proceed with the delivery and deployment phase.
Tools
Large Language Models (LLMs)
GPT-3.5
Gemini
Our Work
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AI-Powered CSRs for Telecom Companies
We built a custom AI-powered customer service representative for a major telco in order to allow customers to search plans, hundreds of support articles, and FAQs effortlessly with human conversations. Problem Statement Telco customers should be able to ask questions to a virtual customer service representative (CSR), because self-service customer support is often frustrating for…
Frequently asked questions
Can’t find the right answer to your question? Click here to contact us
What is Generative AI?
Generative AI is a collection of methods for generating content from a wide range of modalities, including text, audio, images, and videos. Generative AI has gained traction today in the form of models such as ChatGPT, DALL-E, MusicLM and more.
How do commercially available Large Language Models differ?
Large Language Models (LLMs) such as ChatGPT, Gemini, and Copilot differ in the sources of data they are trained on, resource requirements, and per-task accuracy. This is why it’s important to test these models on your desired task to make an informed decision when choosing a LLM for your business applications.
Which use cases are best suited to Large Language Models?
Large Language Models are adept at writing text that mimics text written by humans in terms of style, sentence structure variation, and vocabulary. This makes them especially powerful at condensing verbose documents into high-level overviews. They can also be used to allow customers to retrieve information from support articles using their voice, rather than searching hundreds of support articles manually.
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Empower your business with AI, Cloud, and Infrastructure services from Simple IT Firm.
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