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Key Takeaways:

• LSMs solve for inherent LLM hallucination problems, consequently usable in regulatory rich environments
• LSM technology is additive & can optimize previous enterprise LLM investment (no 'rip and replace’)
• LSMs can ingest LLM outputs  e.g. generated test data & large document summaries. Helpful for data enrichment, video/image to text, & image/test search
• DeepDecision’s patented LSM technology proven with Google, Intel Community, and Financial Services customers

Incorporating Additive LSM technology corrects for critical LLM limitations and enables step change in capability

Using both LLM + LSM brings additive capabilities enabled by synergistic use.

	LLM only	LSM only	LLM + LSM
Uses unstructured text data	✔	✔	✔
Unsupervised, General use AI	✔	✔	✔
Generates human-centric response to user queries	✔	✔	✔
Leverages deep-learning	✔	✔	✔
Native chatbot capability	✔	❌	✔
Generates creative content	✔	❌	✔
Can summarize unstructured content	✔	✔	✔
Makes use of data and signals other thn text (signal agnostic)	❌	✔	✔
User doesn't require explicit prompts	❌	✔	✔
Reduces false positives with statistically significant output (defendable in court)	❌	✔	✔
Avoids non-factual responses (e.g. creative hallucinations)	❌	✔	✔
Accommodates regulatory requirements	❌	✔	✔
Creates deployable models to be reused downstream	❌	✔	✔
Incorporates other LLM outputs (e.g. exports as JSON)	❌	✔	✔
Able to identify & counter adversarial LLM enabled tactics	❌	❌	✔