OneGen: An AI Framework that Enables a Single LLM to Handle both Retrieval and Generation Simultaneously

Practical Solutions and Value of OneGen: An AI Framework Challenges in Current Deployment of Large Language Models (LLMs) One challenge in using Large Language Models (LLMs) is that they struggle to efficiently handle tasks requiring both information generation and retrieval. This leads to increased computational complexity, longer inference time, and higher error risks, especially in multi-turn dialogues or complex reasoning scenarios. OneGen’s Unified Retrieval and Generation OneGen is a new solution that integrates the retrieval and generation processes into a single forward pass within an LLM. By adding autoregressive retrieval tokens into the model, OneGen enables the system to handle both tasks simultaneously without needing multiple forward passes or separate retrieval and generation models. This approach significantly reduces computational overhead and inference time, making LLMs more efficient. Technical Foundation and Performance The technical foundation of OneGen involves enhancing the standard LLM vocabulary with retrieval tokens. It has been tested on various datasets, showing superior performance in tasks requiring both retrieval and generation compared to existing models. It has notably improved accuracy and F1 scores, especially in multi-hop question-answering and entity-linking tasks. Revolutionizing LLMs for Real-World Applications OneGen offers an efficient, one-pass solution to integrate retrieval and generation within LLMs. By using retrieval tokens and contrastive learning, it overcomes the inefficiencies and complexities of previous methods, making LLMs more practical for real-world, high-speed, and high-accuracy applications. AI Solutions for Business Transformation Explore how AI can transform your work processes and enhance sales and customer engagement. Identify automation opportunities, define KPIs, select an AI solution, and implement gradually to leverage AI for business transformation. List of Useful Links: AI Lab in Telegram @itinai – free consultation Twitter – @itinaicom