<ul><li>Developers are facing challenges in AI development with Large Language Models (LLMs) due to code inconsistency, lack of deep contextual understanding, and technical debt, requiring constant human oversight.</li><li>The introduction of the Jain AI Framework represents a paradigm shift in AI training by incorporating human wisdom to train AI for better comprehension of software logic, enabling autonomous generation of consistent code.</li><li>The groundbreaking approach teaches AI to interpret complexities and subtle shifts in data, allowing it to understand the 'why' and 'intent' behind effective code structures, reducing the dependency on human oversight for quality assurance.</li><li>Jain AI demonstrates progress towards 'self-sufficiency' in software creation, aiming to be an 'adult' intelligence capable of autonomous operation and profound discernment, paving the way for harmonious human-AI coexistence.</li></ul>

AI's deep human wisdom framework: revolutionizing code quality, solving LLM's core limits.

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