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A Guide to 400+ Categorized Large Language Model(LLM) Datasets

Analytics Vidhya

And to top it off, this collection […] The post A Guide to 400+ Categorized Large Language Model(LLM) Datasets appeared first on Analytics Vidhya.

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When Graph AI Meets Generative AI: A New Era in Scientific Discovery

Unite.AI

In recent years, artificial intelligence (AI) has emerged as a key tool in scientific discovery, opening up new avenues for research and accelerating the pace of innovation. Among the various AI technologies, Graph AI and Generative AI are particularly useful for their potential to transform how scientists approach complex problems.

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Generative AI use soars among brits, but is it sustainable?

AI News

A survey by CloudNine PR shows that 83% of UK adults are aware of generative AI tools, and 45% of those familiar with them want companies to be transparent about the environmental costs associated with the technologies. Despite these efforts, the urgency to address generative AI’s environmental impact remains critical.

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Agentic AI: How Large Language Models Are Shaping the Future of Autonomous Agents

Unite.AI

After the rise of generative AI, artificial intelligence is on the brink of another significant transformation with the advent of agentic AI. This change is driven by the evolution of Large Language Models (LLMs) into active, decision-making entities.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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BCG: Analysing the geopolitics of generative AI

AI News

Generative AI is reshaping global competition and geopolitics, presenting challenges and opportunities for nations and businesses alike. Using hard data like AI researcher numbers, patents, data centre capacity, and VC investment, they created a comparative analysis.

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Introducing Fast Model Loader in SageMaker Inference: Accelerate autoscaling for your Large Language Models (LLMs) – Part 2

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In Part 1 of this series, we introduced Amazon SageMaker Fast Model Loader , a new capability in Amazon SageMaker that significantly reduces the time required to deploy and scale large language models (LLMs) for inference. Vivek Gangasani is a Senior GenAI Specialist Solutions Architect at AWS.