At Cognitive Science & Solutions, we’re thrilled to introduce how our innovative technology, Diamond AI, offers the capability to transform the Vector Database industry. This breakthrough bridges the gap between speed and accuracy, offering a revolutionary approach to handling large vectors efficiently and effectively. (I would like to thank AI expert Justin Bard [JustBard Technologies] for bringing the connection between Diamond AI and the Vector Database industry to my attention.)
Understanding the Connection
Artificial Intelligence and Vector Databases are intricately linked, especially in the realm of Large Language Models (LLMs). These models often utilize high-dimensional vectors, sometimes with 500 or more dimensions, to perform tasks like word embeddings. The core operation involves comparing these vectors to measure their similarity, a process that traditionally requires a large number of multiplications. This can be computationally intensive, especially when dealing with millions of vectors.
The Current Challenge
Qdrant, a prominent company in the Vector Database industry, highlighted a potential solution in a recent YouTube video: Binary vectors. By rounding each of the 500 dimensions in a vector to either 0 or 1, the process of multiplying fractions is simplified to performing logical “AND” operations. This innovation increases execution speed by 30 to 40 times, drastically reducing time, energy, and server resources. However, this method sacrifices accuracy, leading to significant errors.
Diamond AI: The Middle Ground
This is where Diamond AI comes in. Our technology offers the perfect balance between speed and accuracy. Diamond AI transforms Artificial Neural Networks (ANNs) and the knowledge they contain into Binary vectors, replacing multiplication with efficient logical “AND” operations.
With Diamond AI, we provide varying levels of precision to suit different needs:
- 2-bit Precision: Achieves execution speeds 5 times faster than full-accuracy multiplication, requiring only 20% of the server resources and yielding an 80% reduction in power consumption.
- 3-bit Precision: Enhances execution speed by about 56%, using less than half the server resources and electrical power.
- 3.5-bit Precision: Offers approximately 37% savings in hardware and power while maintaining high accuracy.
The figure below illustrates the wide range of speed-accuracy trade-offs enabled by Diamond AI.
Translating the speed improvements into the corresponding savings in energy and server hardware yields the figure below.
These options enable a flexible middle ground, allowing users to choose the level of precision that best fits their requirements while optimizing performance and energy efficiency.
Environmental Impact
As the world grapples with climate change, the demand for computational hardware and electrical power in AI exacerbates the situation. Diamond AI addresses this challenge by significantly reducing the environmental footprint of AI operations. By offering high-speed, energy-efficient solutions, we help mitigate the adverse effects of AI on our planet.
Conclusion
Diamond AI is not just a technological advancement; it’s a commitment to a more sustainable future. By combining speed, accuracy, and energy efficiency, we are leading the way in revolutionizing the Vector Database industry and supporting the AI sector’s growth responsibly. Contact us today to learn more about this exciting technology!
