Welcome to the Numinous Research Project repository. This hub is dedicated to the exploration and enhancement of artificial intelligence through the lens of Large Language Models (LLMs). Our goal is to push the boundaries of AI research in various specialized domains.
- LLMOPS: Operational strategies and scalability solutions for LLMs.
- Agents: Crafting intelligent AI agents leveraging the power of LLMs.
- Data: Techniques for generating and preprocessing datasets tailored for LLM training.
- Evaluations: Benchmarking tools and evaluation metrics to assess LLM performance.
- Examples: A collection of applications and code samples showcasing LLMs in action.
- FineTuning: Methods for the fine-tuning of LLMs for specific use cases.
- Image: Investigating image processing capabilities, including generative techniques.
- Inference: Innovations in LLM inference for improved model deployment.
- Multimodal: Research into the integration of multimodal data inputs with LLMs.
- NLP-Core: Core experiments and foundational work in natural language processing.
- RAG: Development of retrieval-augmented generation for LLMs.
- Speech: Advancements in speech-to-text and text-to-speech technologies.
To embark on your AI research journey with our project, clone the repository and navigate to any module of interest: