Generative AI and Large Language Models

Generative Artificial Intelligence

Generative Artificial Intelligence (GenAI) is a sub-field of Artificial Intelligence that focuses on generating new content such as text, images, audio, video or code. The accuracy and efficiency of generative AI models have reached a tipping point - they are now powerful enough and economically affordable to enable use cases that were not feasible a year ago.

Large Language Models (LLMs)

Large language models are a sub-category of GenAI models that focus on processing and understanding human language. LLMs are machine learning models that excel in various language-related tasks, including answering open-ended questions, chat, translation, content summarization, sentiment analysis and both content and code generation.

When developing a solution based on large language models, it's important to explore four key architectural patterns:

  • prompt engineering
  • retrieval augmented generation (RAG)
  • fine-tuning
  • pre-training

These patterns are not mutually exclusive; instead, they should be combined to leverage the strengths of each.

Get better results with prompt engineering

Prompt engineering is the method of adjusting prompts to enhance responses without altering the underlying LLM model. Evaluate different prompts, try different models and select the combination that performs the best.

Retrieval augmented generation (RAG)

Retrieval augmented generation is a method that enhances the effectiveness of large language model applications by utilizing custom data without the need to modify the underlying model. This technique involves fetching relevant data or documents related to a question or task and presenting them as a context for the LLM. RAG has demonstrated its effectiveness in enhancing support chatbots and Q&A systems that require up-to-date information or access to domain-specific knowledge.

Fine-tune LLMs using your data

Leverage existing large language model like DBRX, Llama 2, MPT, BGE or OpenAI, adapt it to your data and specific task by doing additional training. Utilizing open-source tools like Hugging Face and DeepSpeed, you can swiftly and efficiently enhance the base LLM for improved accuracy in your domain and workload.

Pre-training - build a custom LLM model from scratch

Pre-training ensures the model's foundational knowledge is customized to your specific domain. This results in a unique, custom model trained with your organization's data. This approach grants you full control over the training data and knowledge encaptured in LLM, so you can make sure you’re using AI responsibly.

Let's explore some use cases of GenAI and LLMs

Generative AI and large language models (LLMs) have revolutionized various fields by enabling the creation of content that is both human-like and tailored to specific needs. These technologies are particularly impactful in areas such as content generation, data enrichment, customer service, and education.

Customer service is enhanced through chatbots powered by LLMs, providing instant, personalized responses to inquiries, improving customer satisfaction and reducing operational costs. LLMs are utilized in product recommendation systems to deliver personalized content and targeted product suggestions, enhancing the shopping experience by understanding individual preferences and generating relevant recommendations. Large language models are employed in automatic reviews summarization to efficiently process vast amounts of customer feedback, extracting key insights and sentiments to inform product development and decision-making processes. In education LLMs are now being used to create interactive learning materials, personalized study plans, and even to assist in grading and feedback, making learning more accessible and engaging.

Overall, Generative AI and LLMs are reshaping how we interact with technology, offering innovative solutions across a wide range of applications.

Unlock the full potential of Generative AI and LLMs for your business

Our consultancy company offers tailored solutions, including strategic consultations, full project delivery and comprehensive training programs, ensuring you're equipped to leverage these cutting-edge technologies effectively. Don't miss out on the opportunity to transform your operations and stay ahead in the competitive landscape.

We specialize in building solutions on Databricks platform ranging from ML and GenAI to data engineering. Our team is a dedicated group of certified solution architects and engineers with Artificial Intelligence background.