Ever since AI has permeated, three game-changer concepts have come into the limelight- Generative AI, Large Language Models (LLMs) and AI Foundation Models. Suddenly, three terms have become omnipresent and interchangeable in nature. These innovations have reshaped the way we interact with technology, leading transformation in industries & driving the future of AI-powered applications and propelling the landscape of business.

Explore the prevailing AI technologies revolutionizing communication and interaction with digital platforms. 

What is Generative AI? 

Generative AI encompasses AI systems specifically designed to create content, distinguishing them from other AI functions like data classification (such as labelling images), data grouping (like identifying customer segments) or action-based decision-making (such as guiding autonomous vehicles). It operates on the principle of two simple neural networks- a Generator and a Discriminator. 

The generator creates new content, while the discriminator evaluates it for authenticity. Through continuous feedback and learning, the generator refines its output and creates content that is increasingly indistinguishable from human-created data. This technology has various applications, including art generation, content creation, data augmentation in machine learning, and even deepfake creation (though this use raises ethical concerns).

Generative AI's ability to produce novel, diverse, and realistic content has sparked immense interest in scientific and creative communities. Researchers and artists continue to explore its potential, making it a rapidly evolving field.

Typical Examples of Generative AI Systems include: 

A. Image Synthesis: Gen AI applications capable of producing realistic images of objects, scenes, or even people that do not exist in reality. These generated images find applications in art, design, and virtual worlds.

B.Style Transfer: These applications can perform the artistic function of putting one image to another and creating visually appealing and unique artworks. 

C. Text Generation: Gen AI can produce human-like text, including articles, stories, essays, and scripts or even generate a code for the website!

D. Data Augmentation: GEN AI-powered applications have the power to create additional training data by generating variations of existing data. This helps improve the performance and robustness of machine learning models.

What are Large Language Models & AI Foundation Model 

Large Language Models are advanced AI systems designed to produce and generate human-like text. These systems are trained on massive amounts of textual data, enabling them to understand context, generate coherent responses, and even translate languages. LLMs have gained prominence due to their ability to handle complex language tasks, making them invaluable for applications like chatbots, language translation, content creation, and more.

LLMs have gained traction after the introduction of ChatGPT in late 2022. The LLM evolution continues to evolve with Open AI’s GPT-4 (Generative Pre-trained Transformer) series made with a 1 trillion parameter model representing a quantum leap in size and capabilities. 

Popular Large Language Models include Google's BERT (Bidirectional Encoder Representations from Transformers), T5, XLNet, RoBERTa (Robustly Optimized BERT Pretraining Approach)

AI Foundation Model

The Foundation Model represents AI systems that have broad capabilities and are adapted to various uses. This model provides a base on which other things can be built. This model differs from AI systems that are built for a specific purpose. AI Foundation models are large-scale, adaptable AI models reshaping enterprise AI. This model acts as the bedrock of various AI technologies by integrating diverse capabilities, including natural language processing, computer vision, and deep learning techniques. AI Foundation Models lay the groundwork for innovative applications in healthcare, finance, autonomous vehicles, and beyond. They serve as the driving force behind the AI revolution, enabling researchers and developers to create cutting-edge solutions.

Key Considerations for India for Strengthening Large Language Models

India has made progressive strides in AI skilling and strengthening its data ecosystem. Deloitte and Nasscom reports suggest India must pursue strategic efforts to work on the process of developing sovereign LLM. To strengthen the overall AI ecosystem by working on the following key pillars: 

Large Language Models: The majority of existing Large Language Models are developed in the US and China, lacking diversity in languages and cultures. To address this gap, India should follow the example set by countries like Japan and the UAE. Investing in the creation of culturally relevant AI models, trained in various local languages, is essential to cater to non-English speakers and ensure inclusivity in AI technology.

Encouraging High-Quality Training Data: Having good-quality training data is crucial for research and innovation in India. However, most important datasets face challenges that affect their usability. These datasets are usually 80% unstructured and 20% structured data, making it difficult to use them effectively for research and innovation.

Stay Ahead with Deloitte Generative AI Practice

Deloitte's Generative AI Practice focuses on helping clients harness the power of disruptive New AI Technology. This new practice brings forth Deloitte's deep industry experience, skilled AI engineers, and ecosystem and alliance partners to build Generative AI applications to accelerate the business innovation pace.

Nitin Mittal, Deloitte Global Consulting Emerging Markets Leader comments on the harnessing power of Generative AI practice in disruptive potential by partnering with alliances and leveraging targeted industry solutions that help clients realise “sustainable business outcomes and achieve real transformation”

Generative AI Practice in collaboration with Deloitte AI Institute fosters the growth and development of AI by engaging in conversations and market perspectives. Deloitte AI Institute utilizes extensive industry expertise to spearhead the business and focus on connecting enterprises via perspectives and analysis to the entire AI ecosystem. 

As we navigate this transformative journey, embracing AI models is not just a choice but a necessity, propelling us toward a future where technology and human ingenuity converge to redefine possibilities. They represent the cornerstone of innovation and shape the world. To assist businesses in locating complex challenges and disruptions, consult Deloitte India Generative AI Practice which empowers enterprises to leverage Generative AI in the best possible way.