Large Language Models

Large Language Models (LLMs) are transforming how businesses interact with data, customers, and knowledge. At Alchemilla Ventures, we design, fine-tune, and deploy LLM-powered solutions that deliver real business value — for enterprises, startups, and government agencies throughout the country.

The LLM Revolution

From OpenAI’s GPT family to Meta’s LLaMA and Mistral, open-weight LLMs have democratised access to state-of-the-art natural language understanding. Our AI team specialises in adapting these powerful models to your specific domain, language, and business context — including regional languages such as Telugu and Malayalam.

Our LLM Services

• Custom Model Fine-Tuning: We fine-tune foundation models (LLaMA 3, Mistral, Gemma) on your proprietary data using QLoRA, LoRA, and full-parameter fine-tuning techniques. Whether you need a multilingual customer support bot or an English-language legal document analyser, we deliver.
• RAG (Retrieval-Augmented Generation): Connect LLMs to your enterprise knowledge base, documents, and databases. Our RAG pipelines ensure factually grounded responses, eliminating hallucinations for mission-critical applications in legal, healthcare, and finance.
• Agentic AI Workflows: Multi-step autonomous agents that can research, analyse, write code, and execute tasks. We build agents using LangChain, CrewAI, and AutoGen for complex business automation.
• On-Premise LLM Hosting: Deploy LLMs on your own infrastructure using vLLM, Ollama, or TensorRT-LLM. Ideal for organisations with data residency requirements or regulated industries.
• Multilingual NLP: Named entity recognition, sentiment analysis, text classification, and machine translation for regional languages including with culturally aware language models.

Use Cases Across the country

Sector	Application	Impact
Legal	Contract review, case law research	80% faster document processing
Healthcare	Clinical note summarisation, patient triage	Reduced physician burnout
Education	Personalised tutoring, content generation	Accessible learning for students
Government	Citizen grievance classification, RTI response drafting	Efficient public service delivery
E-commerce	Product description generation, multilingual support	Wider market reach

Our Technical Approach

1. Data Curation: We help you clean, deduplicate, and annotate training data — including multilingual corpora where needed.
2. Fine-Tuning Strategy: Parameter-efficient fine-tuning (PEFT) with QLoRA to minimise GPU costs while maximising performance.
3. Evaluation & Guardrails: Automated evaluation suites with ROUGE, BERTScore, and human evaluation. Content safety filters and output validators.
4. Deployment: Optimised inference with vLLM or TensorRT-LLM, deployed on AWS SageMaker, GCP Vertex AI, or on-premise Kubernetes clusters.

Technologies We Use

• Foundation Models: GPT-4o, Claude, LLaMA 3, Mistral, Gemma, Phi-3
• Frameworks: LangChain, LlamaIndex, HuggingFace Transformers, vLLM
• Vector Databases: Pinecone, Weaviate, Qdrant, ChromaDB
• Monitoring: LangSmith, Arize Phoenix, custom dashboards
• Infrastructure: NVIDIA H100/A100 GPUs, AWS p4d instances, RunPod

From OMR IT corridor to Bengaluru and Hyderabad, we help businesses harness the power of LLMs. Let’s discuss how generative AI can transform your operations.