LLMs
"You can create a consumer, a brand strategist, a brand marketer, client, encoded with actual ground truth data, then critique the content that's been generated by the system with agents playing off against each other."
AI discovered 2.2m new "materials" said DeepMind. Chemistry professors investigated, found hallucinations, repetition, known crystals.
"You have to chain user input, system prompts, and DB data to feed the LLM and then lots of processing to deliver that magic AI agent experience to the user"
Inference “up to 2x faster than LLaMA2-70B” for new model, trained on 12 trillion tokens.
Emotion recognition banned in workplaces, classrooms.
"GenAI with too low a temperature lacks creative spark... Too high a temperature and it will strongly hallucinate" -- Neo4j’s Jim Webber discusses new ways of delivering GenAI value.
Generative AI models can be fooled using ASCII art, while "rainbow teaming" pushes LLM semantic defenses to limit...
"Building production-grade RAG remains a complex and subtle problem... unlike traditional software, every decision in the data stack directly affects the accuracy of the full LLM-powered system."