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LLMs

Databricks LLM DBRX

Inference “up to 2x faster than LLaMA2-70B” for new model, trained on 12 trillion tokens.

Musk open-sources 314-billion parameter LLM "Grok" (including weights), but...

Apache 2.0 licence and weights, but no training code/reproducible datasets.

Europe’s AI Act demands extensive "logs" - targets biometrics, bias, black boxes

Emotion recognition banned in workplaces, classrooms.

The key to making Large Language Models work is becoming clearer.

"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.

Researchers go back to the 80s to jailbreak LLMs :-)

Generative AI models can be fooled using ASCII art, while "rainbow teaming" pushes LLM semantic defenses to limit...

PDFs, RAG, and LlamaParse: Generative AI's "Swiss Army Knife" adds a welcome new toolkit

"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."

Company says it is releasing examples "to give the public a sense of what AI capabilities are on the horizon" as one expert, NVIDIA's Dr Jim Fan emphasised that "if you think OpenAI Sora is a creative toy like DALLE... think again"

Google’s massively multimodal Gemini 1.5 Pro preview shows a giant warming to its task

"Coming soon, we plan to introduce pricing tiers that start at the standard 128,000 context window and scale up to 1 million tokens"

Red RAG to a Bull? Generative AI, data security, and toolchain maturity. An ecosystem evolves...

"Here's where people end up in RAG hell, with a bunch of unfamiliar tools and in many cases immature tools...”

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