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Artificial Intelligence - Vimarsana News

Artificial Intelligence

The adoption of generative artificial intelligence (AI) technologies in Africa has the potential to transform the continent’s workforce and unlock immense economic potential.

Source: africa.com
Theory Of Mind As An Emergent Property Of Generative AI Could Be A Linchpin For AI-Powered Mental Health Advisement Apps - Vimarsana News

Theory Of Mind As An Emergent Property Of Generative AI Could Be A Linchpin For AI-Powered Mental Health Advisement Apps

Humans are said to possess Theory of Mind, and some say generative AI does so too. This is closely explored, along with how it pertains to AI-based mental health apps.

Source: forbes.com
Startling Findings Reveal GPT-3 Echoes Harmful Misinformation, Stereotypes - Vimarsana News

Startling Findings Reveal GPT-3 Echoes Harmful Misinformation, Stereotypes

University of Waterloo researchers uncover GPT-3's inclination to echo misinformation and biases, highlighting risks in deploying large language models for societal trust.

AI Research: 900 Papers From 65 Nations At Ai Meet Co-hosted By Bennett | Delhi News - Vimarsana News

AI Research: 900 Papers From 65 Nations At Ai Meet Co-hosted By Bennett | Delhi News

India's Bennett University co-organised the worldwide 2023 Joint Artificial Intelligence Conference, aiming to put India on the map of AI research. Ov

GitHub - microsoft/LLMLingua: To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss. - Vimarsana News

GitHub - microsoft/LLMLingua: To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss. - GitHub - microsoft/LLMLingua: To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

Source: github.com