Enhanced Memory Retrieval System for New Computer
New Computer has made significant strides in enhancing its memory retrieval system by incorporating LangSmith, resulting in a 50% higher recall rate and a 40% higher precision rate compared to its previous baseline, as per the LangChain Blog.
About New Computer
New Computer is the team behind Dot, the first personal AI created to genuinely comprehend its users. Dot’s long-term memory system evolves by observing verbal and behavioral cues, offering timely and personalized assistance that creates a sense of true understanding.
Agentic Memory Overview
The groundbreaking agentic memory system developed by New Computer dynamically generates or pre-calculates documents for future retrieval. Unlike traditional retrieval-augmented generation (RAG) methods, this system organizes information during memory creation, ensuring accurate and efficient retrieval as memories accumulate. Key points include:
- Meta-fields like status and datetime fields enhance memory retrieval.
Utilizing LangSmith for Improved Memory Retrieval
New Computer leveraged LangSmith to iterate swiftly on a dataset of labeled examples. Synthetic data was generated to preserve user privacy, creating synthetic users with LLM-generated backstories. The team stored queries and available memories in a LangSmith dataset, labeling relevant memories for each query and defining evaluation metrics such as precision, recall, and F1. Key points include:
- Various techniques were tested to enhance performance.
- LangSmith’s SDK and Experiments UI facilitated efficient evaluation of experiments.
Optimizing Conversation Prompts with LangSmith
Dot’s responses are generated via a dynamic conversational prompt that includes relevant memories, tool usage, and contextual behavioral instructions. To refine the prompt, synthetic users generated a wide array of queries, enabling the team to analyze global effects of prompt changes using LangSmith’s experiment comparison view. Key points include:
- Prompt adjustments were made directly within the LangSmith UI for faster iteration.
Future Endeavors for New Computer
With a focus on strengthening human-AI relationships, New Computer continues to enhance Dot’s adaptability to user preferences and deliver personalized experiences. A recent rollout has attracted a new user base, with a 45% conversion rate to the app’s premium tier. The collaboration with LangChain and the use of LangSmith play a crucial role in simulating intricate human-AI interactions.
Hot Take: Embracing Advanced Memory Systems
Dear Cryptocurrency Enthusiast, the integration of LangSmith has revolutionized New Computer’s memory retrieval capabilities, showcasing the power of advanced AI technologies in enhancing user experiences. As the landscape of artificial intelligence continues to evolve, the fusion of innovative solutions like LangSmith paves the way for more personalized and efficient interactions between humans and AI. Stay tuned for further developments in the realm of advanced memory systems and their impact on the future of AI-driven technologies.
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