{
  "items": [
    {
      "item": "Research and develop more efficient training methods for large language models to reduce costs and improve performance",
      "done": false
    },
    {
      "item": "Improve the quality of retrieval systems, including embeddings models and re-rankers, to enhance the accuracy of search results",
      "done": false
    },
    {
      "item": "Explore the applications of RAG systems in various industries, such as chemistry, finance, and law",
      "done": false
    },
    {
      "item": "Investigate the use of agent chaining architectures as an alternative to RAG systems",
      "done": false
    },
    {
      "item": "Develop and refine long-term memory models for LLMs to improve their ability to manage and retrieve large amounts of data",
      "done": false
    },
    {
      "item": "Optimize the use of embedding models in RAG systems to improve retrieval quality and efficiency",
      "done": false
    },
    {
      "item": "Investigate the use of iterative retrieval versus one-time retrieval in RAG systems",
      "done": false
    },
    {
      "item": "Improve the prompting of large language models to enhance their performance and reliability",
      "done": false
    },
    {
      "item": "Develop software engineering techniques to improve the use of neural networks in RAG systems, such as better trunking and iteration methods",
      "done": false
    },
    {
      "item": "Fine-tune neural networks for specific use cases to improve their performance and accuracy",
      "done": false
    },
    {
      "item": "Explore the potential of RAG systems in individual applications, such as personal information management and search",
      "done": false
    },
    {
      "item": "Develop more efficient and cost-effective methods for training and deploying RAG systems",
      "done": false
    },
    {
      "item": "Investigate the limitations and challenges of using long context transformers and their potential applications",
      "done": false
    },
    {
      "item": "Research and develop new architectures and techniques to improve the efficiency and accuracy of RAG systems.",
      "done": false
    }
  ]
}