Large Language Models (LLMs)
Large Language Models are AI systems trained on massive text datasets that can understand and generate human-like text. Models like GPT-4, Claude, Gemini, and Llama represent the cutting edge of AI ca…
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Definition
Large Language Models are AI systems trained on massive text datasets that can understand and generate human-like text. Models like GPT-4, Claude, Gemini, and Llama represent the cutting edge of AI capabilities. LLMs power conversational AI, content generation, code assistance, and knowledge retrieval — transforming how businesses interact with information.
Key Points
- Trained on billions of parameters using transformer architecture
- Capabilities: text generation, summarisation, translation, reasoning, code writing
- Can be fine-tuned on domain-specific data for specialised applications
- Indian companies are building LLM applications for customer support, legal research, and education
Frequently Asked Questions
Indian businesses can use LLMs for automated customer support in multiple languages, document summarisation and analysis, content creation, code generation, and knowledge management. The key is fine-tuning models on your domain data to get accurate, relevant outputs.
For most Indian businesses, using existing LLMs (OpenAI, Claude, or open-source models like Llama) via APIs is the practical choice. Building an LLM from scratch requires millions of dollars in compute. However, fine-tuning existing models on your domain data is affordable and effective.
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