This blog discusses practical methods for evaluating AI reasoning using white-box techniques like mechanistic evaluation with sparse autoencoders, highlighting how understanding AI models benefits businesses through enhanced transparency and competitive

This blog explores how AI agents are revolutionizing small and medium-sized businesses (SMBs) by 2025, highlighting seven key use cases that drive growth and efficiency. It delves into how AI tools enhance customer support, streamline operations, improve sales processes, support data-driven decision-making, optimize marketing campaigns, accelerate content creation, and enhance search capabilities, enabling SMBs to scale competitively.

This blog addresses the challenges of scaling large language models and offers practical solutions to enhance their efficiency. It discusses optimization techniques like quantization, LoRA, efficient caching, Flash Attention, prompt optimization, and innovations like Meta's Llama 3.3. By highlighting these strategies, the blog shows how businesses can balance AI performance with cost-effectiveness.

This blog offers concise strategies for evaluating Large Language Models to ensure their reliability in practical applications. It outlines methods suited for both deterministic and probabilistic tasks and underscores the importance of rigorous evaluation through real-world business examples.