Generative AI will quickly transform the way businesses develop and deliver products and services and serve their customers
Tech.us has the expertise to build the Generative AI solutions you need to transform your business.
- Create Custom LLMs
- Integrate open source and commercial LLMs
- Build, operate, and maintain LLM infrastructure
- Quantization and optimization of LLMs
- RLHF Implementation for LLMs
- Text-Image Model Development
- Text-Audio Model Developmen
- Multi-Model Development
How can you use Generative AI in your business?
Generative AI has the potential to unlock new markets, new customer types, and new ways of delivering products and services. Here are a few examples:
- Content Generation: We can develop generative AI models that automatically generate content such as articles, blog posts, product descriptions, social media posts, images, and other content, saving time and effort and increasing real time interactivity for customers.
- Personalized Recommendations: By employing generative models, We can help our clients create personalized recommendation systems. These systems can analyze user behavior, preferences, and historical data to generate personalized product recommendations, content suggestions, or tailored marketing offers.
- Data Augmentation: Generative models can be used to augment and diversify training datasets for machine learning models. We can generate synthetic data that closely resembles real data, helping to improve the accuracy and performance of our customer's machine learning models across various applications, such as image recognition, natural language processing, or anomaly detection.
- Virtual Assistants and Chatbots: We can develop generative models to create intelligent virtual assistants or chatbots that can interact with users in a conversational manner. These AI-powered assistants can provide personalized support, answer queries, and assist with tasks, enhancing customer experience and reducing the workload on your customer service teams.
- Creative Design and Art: We can utilize generative AI to support clients in creative design processes. For example, we can build tools that generate design options, logos, or visual content based on customer preferences and specifications, providing a broader range of possibilities for branding and marketing materials as well as deliver better and more customized visual products and services.
- Anomaly Detection and Cybersecurity: Generative AI models can help in detecting anomalies and potential security threats in real time. We can develop systems that employ generative models to monitor network traffic, user behavior, or system logs, identifying any deviations from normal patterns and alerting clients to potential security breaches or suspicious activities.
Types of Generative AI
There are several types of generative AI models, each designed to address specific challenges and applications. These generative AI models can be broadly categorized into the following types:
These models, such as OpenAI’s ChatGPT and GPT4, LLama, and Falcon, are neural networks designed for natural language processing. They can generate coherent and fluent text based on a given prompt or context.
Generative Adversarial Networks (GANs)
These models consist of two neural networks that work together to generate new data. One network generates fake data, and the other network tries to detect whether the data is real or fake. The networks learn from each other and improve over time. GANs can generate realistic images, videos, audio, and more.
Variational Autoencoders (VAEs)
VAEs are generative models that learn the input data's compressed representation (latent space). They can then generate new data points by sampling from the latent space and decoding them back into the original data domain.
Content Generation Tool
Using the Large Language model, this tool can create content for a blog, marketing, and Ad creation use-cases.
Goal Oriented Chatbot using LLM
The Goal-oriented chatbot can ask for required details from the User and complete the task within the configured goal and will not deviate from the actual fine-tuned task.
The product finder can identify any product from an Image and provide a consolidated report of the available items, the fine-tuned Multi-Model can be capable of taking an Image as an Input and Text as an Output.
Market Share Forecast
Generative AI represents a huge financial and operational transformation opportunity. The global generative AI market was valued at around USD 136 Billion in 2022 and is projected to grow at a compound annual growth rate (CAGR) of over 30% from 2023 to 2030, reaching over USD 1.8 Trillion by the end of the decade.
Proven Track Record
Tech.us helps businesses grow their top and bottom lines with digital transformation. Top companies hire Tech.us to successfully complete their software & technology projects on-time and on-budget.