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Pace of innovation in AI is fierce – but is ethics able to keep up?

AI News

Indeed, as Anthropic prompt engineer Alex Albert pointed out, during the testing phase of Claude 3 Opus, the most potent LLM (large language model) variant, the model exhibited signs of awareness that it was being evaluated. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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AI sector study: Record growth masks serious challenges

AI News

There is a rising need for workers with new AI-specific skills, such as prompt engineering, that will require retraining and upskilling opportunities. billion investment in AI skills, security, and data centre infrastructure, aiming to procure more than 20,000 of the most advanced GPUs by 2026. “The

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Making AI More Accessible With LLM Alignment, Prompt Engineering Skills, and a 2-for-1 ODSC West…

ODSC - Open Data Science

5 Must-Have Skills to Get Into Prompt Engineering From having a profound understanding of AI models to creative problem-solving, here are 5 must-have skills for any aspiring prompt engineer. The Implications of Scaling Airflow Wondering why you’re spending days just deploying code and ML models?

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Feature Store Architecture, the Year of Large Language Models, and the Top Virtual ODSC West 2023…

ODSC - Open Data Science

2023 Was the Year of Large Language Models: Then and Now The 2023 AI landscape was defined by large language models, and these are a few milestones that made it as such. Sarah will also share Microsoft’s approach to responsible AI, and how they’re working to ensure that our generative AI applications are aligned with the company’s principles.

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Microsoft Researchers Combine Small and Large Language Models for Faster, More Accurate Hallucination Detection

Marktechpost

This creates a significant obstacle for real-time applications that require quick response times. Researchers from Microsoft Responsible AI present a robust workflow to address the challenges of hallucination detection in LLMs. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

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ODSC West is Next week, LLM Distillation, Mastering LLMOps, and ML Evaluation Tools

ODSC - Open Data Science

From Prototype to Production: Mastering LLMOps, Prompt Engineering, and Cloud Deployments This post is meant to walk through some of the steps of how to take your LLMs to the next level, focusing on critical aspects like LLMOps, advanced prompt engineering, and cloud-based deployments. global trade shows.

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The Prompt Optimization Stack, an Overview of LLMOps, and Using Synthetic Data for LLMs

ODSC - Open Data Science

The Prompt Optimization Stack A lot goes into successful prompt engineering. However, with this thorough prompt optimization guide, you’ll know exactly how to perfect this new art. Organizations harness these LLMs through prompt engineering and fine-tuning, but challenges persist.