Generative AI || Agentic AI || Evaluation of Agentic AI
Apollonius Generative AI Lab
Solving the World's Most Complex Problems From Finance to Theoretical Physics – with Generative AI
Accelerate Your Business with Our Expertise
Solution As A Service
Solution As A Service
Solution As A Service
Research As A Service
Solution As A Service
Solution As A Service
Training As A Service
Solution As A Service
Training As A Service
Our Competencies
Generative AI
Evaluation of AI Agents
Generative AI
AI Agents
Evaluation of AI Agents
Generative AI
Evaluation of AI Agents
Evaluation of AI Agents
Evaluation of AI Agents
Our Expertise
Prompt Engineering
Prompt Engineering
Prompt Engineering
Prompt engineering for generative AI focuses on designing effective instructions that guide models to produce accurate, contextually relevant, and creative outputs. It bridges the gap between human intent and AI understanding, ensuring consistency, reliability, and alignment with desired outcomes.
RAG
Prompt Engineering
Prompt Engineering
RAG (Retrieval-Augmented Generation) for generative AI combines powerful language models with external knowledge retrieval, enhancing response accuracy and factuality. It enables dynamic, real-time information retrieval, making outputs more context-aware and up-to-date.
Llama Index
Prompt Engineering
Vector Database
LLM Index (Llama Index) is a data framework for integrating large language models with diverse external knowledge sources. It streamlines data ingestion, retrieval, and organization, enabling more accurate and context-aware generative outputs.
Vector Database
Vector Database
Vector Database
Vector databases for generative AI store high-dimensional embeddings, enabling rapid similarity search and semantic retrieval. They power context-aware responses by efficiently organizing and accessing dense, unstructured data.
Graph Database
Vector Database
Graph Database
Graph databases for generative AI represent complex relationships through interconnected nodes, enhancing context understanding and multi-hop reasoning. They enable efficient knowledge discovery and inference by capturing rich, structured data.
Crew AI
Vector Database
Graph Database
Crew AI orchestrates multiple specialized agents to collaborate efficiently, combining their diverse capabilities for complex, multi-step tasks. It enables scalable, modular AI systems with dynamic decision-making and adaptive learning.
How we help your Business
Training and Research As A Service
We offer hands-on training and Research Services to equip your team with the skills to effectively use Generative AI. Our sessions are designed to be accessible to both technical and non-technical teams, ensuring broad understanding and practical application.
- Training As A Service: In-depth exploration of Gen AI model development and deployment.
- Research As A Service: Extensive Research service on Gen AI to address specific business challenges.