Implementing Large Language Models and Joint Neural Inference in Real-World Applications

Exploring the motivation behind utilizing large language models (LLMs) and Joint Neural Inference (JNI) in established businesses for internal use cases like HR, legal, and investment sectors. Emphasizing the importance of efficiency in AI systems to reallocate resources for strategic work and discussing concerns such as hallucinations, prompt injection, and system toxicity. Highlighting the process of adopting AI models in companies, monitoring their performance in real-time, and addressing challenges like bias without compromising accuracy.