Research

At Symbiosis, we are dedicated to pushing the boundaries of artificial intelligence. Our research team is composed of world-class engineers who are at the forefront of AI innovation. We focus on developing cutting-edge technologies that not only advance the field of AI but also deliver real-world benefits to our customers.

Key Areas of Research

AI Inference and Optimization

We are constantly exploring new methods to improve AI inference, making it faster, more efficient, and scalable. Our research in this area focuses on:

• Advanced neural network architectures
• Model compression techniques
• Optimization algorithms for real-time AI applications

Vector Embeddings and Search

Our team is developing sophisticated vector embedding techniques to enhance search capabilities. This includes:

• High-dimensional vector representation
• Efficient indexing and retrieval algorithms
• Applications in recommendation systems, information retrieval, and more

Retrieval-Augmented Generation (RAG)

We are innovating in the field of RAG to create more accurate and contextually aware AI systems. Our research efforts include:

• Combining retrieval mechanisms with generative models
• Improving the accuracy and relevance of generated content
• Practical applications in customer support, content creation, and knowledge management

AI Safety and Ethics

Ensuring the safety and ethical use of AI is paramount at Symbiosis. Our research in this area includes:

• Developing frameworks for AI transparency and accountability
• Mitigating biases in AI models
• Ensuring compliance with global AI ethics standards

Core Innovations at Symbiosis

At Symbiosis, our relentless pursuit of innovation is centered around developing technologies that drive efficiency, security, and accessibility in AI applications. Our core innovations – LLM Fusion, SecureDataBridge, CRAFT Training, and ExtendedReach LLMs, exemplify our commitment to delivering groundbreaking solutions that meet the evolving needs of our customers.

LLM Fusion

LLM Fusion is our advanced system for managing AI workloads seamlessly and efficiently. This innovation integrates and orchestrates AI models and services, ensuring they are deployed, managed, and scaled automatically. The core purpose of LLM Fusion is to eliminate the need to manually choose a specific LLM model for your workload. Our orchestration engine intelligently selects the most suitable model for each query, optimizing performance for every input.

• Outcome: Increased operational efficiency, reduced deployment time, and scalable AI solutions.

SecureDataBridge

SecureDataBridge employs advanced End-to-End Homomorphic Encryption to protect user data, ensuring complete privacy and confidentiality. This technology allows computations on encrypted data without exposing the underlying information, safeguarding sensitive data while maintaining its integrity and compliance with data protection standards.

• Outcome: Enhanced data security, compliance with privacy regulations, and peace of mind for our clients.

CRAFT – Contextual Retrieval Augmented Fine Tuning

CRAFT integrates retrieval augmentation and fine-tuning to enhance AI model training. This method combines external knowledge retrieval with fine-tuning processes, leading to models that are more accurate and adaptive. CRAFT ensures that your AI systems are continuously improving and capable of handling a wide range of applications effectively.

• Outcome: Superior model performance, faster training times, and reduced resource consumption.

ExtendedReach LLMs

ExtendedReach LLMs expand the context window for processing long-form content, from 8K-128K tokens to 1M-4M tokens. This capability allows the models to maintain coherence and deliver precise responses over extensive datasets, making them ideal for complex, large-scale interactions and detailed data analysis.

• Outcome: Improved user experiences, more accurate and contextually aware AI responses, and expanded application possibilities using dedicated deployments

 

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