LLMs & Generative AI

[Freelance Services]

Large Language Models (LLMs) such as ChatGpt from OpenAI, Claude from Anthropic and Gemini from Google have radically transformed the task of natural language processing and content generation

The potential for integrating this LLM functionality into the data analytics workflow, whether building data models or enhancing APIs & web-apps, is extremely broad. For example:

→ auto-extraction of structured data from large volumes of text, ready for pipelining

→ quantifiable sentiment analysis / vector embedding for building data science models that have complex natural language inputs

→ auto-generation of reports to summarise a broad range of data insights

Open Source LLMs can be leveraged for greater security and lower latency as well as for highly tailored tasks that may lie outside the typical chat function of the frontier models.

Technology Stack

• frontier llms: ChatGPT, Claude, Gemini, Perplexity
• open source llms: Meta-Llama, Phi-4, DeepSeek, Qwen etc
• llm techniques: quantization, langchain, RAG