Remove topic subject ai-and-machine-learning
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5 Best Black Friday Sales for AI Tools

Unite.AI

Welcome to the most awaited Black Friday event of the year, where cutting-edge AI tools meet unbeatable deals! As the tech world buzzes with excitement, we bring you a curated selection of the finest AI tools and applications, all at jaw-dropping discounts. Improve on the go, no more revisions!

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10 Best Prompt Engineering Courses

Unite.AI

As AI systems, particularly language models like GPT, become increasingly sophisticated, the ability to effectively communicate with these models has gained paramount importance. Prompt engineering, essentially, is the craft of designing inputs that guide these AI systems to produce the most accurate, relevant, and creative outputs.

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

Imagine a world where machines aren’t confined to pre-programmed tasks but operate with human-like autonomy and competence. AGI, sometimes referred to as strong AI , is the science-fiction version of artificial intelligence (AI), where artificial machine intelligence achieves human-level learning, perception and cognitive flexibility.

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How RLHF Preference Model Tuning Works (And How Things May Go Wrong)

AssemblyAI

The exploding popularity of conversational AI tools has also raised serious concerns about AI safety. From the large-scale proliferation of biased or false information to risks of psychological distress for chatbot users, the potential for misuse of language models is a subject of intense debate. How is it capable of doing this?

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Spatial Intelligence: Why GIS Practitioners Should Embrace Machine Learning- How to Get Started.

Towards AI

Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. You just want to create and analyze simple maps not to learn algebra all over again. This function can be improved by AI and ML, which allow GIS to produce insights, automate procedures, and learn from data. Types of Machine Learning for GIS 1.

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The Black Box Problem in LLMs: Challenges and Emerging Solutions

Unite.AI

Machine learning , a subset of AI, involves three components: algorithms, training data, and the resulting model. An algorithm, essentially a set of procedures, learns to identify patterns from a large set of examples (training data). The culmination of this training is a machine-learning model.

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AI News Weekly - Issue #355: Tech firms accountable for AI ? - Oct 19th 2023

AI Weekly

Powered by clkmg.com In the News IBM CEO: Washington should hold tech firms accountable for AI IBM CEO Arvind Krishna argues that regulators should not allow artificial intelligence developers to hide behind the sweeping legal protections that shield internet and social media firms. Try Vinovest, a whiskey (and wine) investing platform.

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