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Hugging Face calls for open-source focus in the AI Action Plan

AI News

Hugging Face has called on the US government to prioritise open-source development in its forthcoming AI Action Plan. The tools developed at Hugging Face, from model documentation to evaluation libraries, are directly shaped by these questions. For organisations adopting open-source AI tools , it brings financial returns.

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AI sector study: Record growth masks serious challenges

AI News

The government’s commitment to supporting AI is evident through significant investments. In 2022, the UK government unveiled a National AI Strategy and Action Plan—committing over £1.3 Almost a third (31%) of SMEs have yet to adopt the cloud, and nearly half (47%) do not currently use AI tools or applications.

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AI Paves a Bright Future for Banking, but Responsible Development Is King

Unite.AI

For example, AI-driven underwriting tools help banks assess risk in merchant services by analyzing transaction histories and identifying potential red flags, enhancing efficiency and security in the approval process. While AI has made significant strides in fraud prevention, its not without its complexities.

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AI News Weekly - Issue #342: $1 billion gamble to ensure AI doesn’t destroy humanity - Jul 20th 2023

AI Weekly

In the News Top 10 AI Tools Cooler Than ChatGPT For our list of AI tools cooler than ChatGPT, we conducted extensive research and considered various factors such as performance, versatility, innovation, user-friendliness, integration, and industry impact. dataversity.net Is AI advancing too quickly?

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Why Most Developers Miss the True Potential of LLMs

Towards AI

A clear framework to evaluate tools like ChatGPT, Gemini, or any API. The confidence to integrate AI into your workflows effectively. The ability to know how to identify which AI developments matter to you. Walk away with a toolkit of real-world AI use cases specific to your industry.

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Ramprakash Ramamoorthy, Head of AI Research at ManageEngine – Interview Series

Unite.AI

This collaboration is crucial for aligning our AI strategy with the specific needs of our customers, which are constantly evolving. Given the rapid pace of advancements in AI, I dedicate a substantial amount of time to staying abreast of the latest developments and trends in the field.

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Conversational AI use cases for enterprises

IBM Journey to AI blog

The emergence of NLG has dramatically improved the quality of automated customer service tools, making interactions more pleasant for users, and reducing reliance on human agents for routine inquiries. Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development.