AI News
APRIL 25, 2024
Security vulnerabilities like embedded agents and prompt injection attacks also rank highly on his list of concerns, as well as the extreme energy consumption and climate impact of large language models. Pryon’s origins can be traced back to the earliest stirrings of modern AI over two decades ago.
Unite.AI
OCTOBER 20, 2023
Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency.
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AI News
MARCH 7, 2024
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. The company says it has also achieved ‘near human’ proficiency in various tasks.
IBM Journey to AI blog
OCTOBER 16, 2023
.” Are foundation models trustworthy? It’s essential for an enterprise to work with responsible, transparent and explainable AI, which can be challenging to come by in these early days of the technology. But how trustworthy is that training data?
NVIDIA
MARCH 1, 2024
Safety guardrails set limits on the language and data sources the apps use in their responses. Security guardrails seek to prevent malicious use of a large language model that’s connected to third-party applications or application programming interfaces.
Snorkel AI
MARCH 19, 2024
Read on to see how Google and Snorkel AI customized PaLM 2 using domain expertise and data development to improve performance by 38 F1 points in a matter of hours. In the landscape of modern enterprise applications, large language models (LLMs) like Google Gemini and PaLM 2 stand at the forefront of transformative technologies.
Snorkel AI
MARCH 19, 2024
Read on to see how Google and Snorkel AI customized PaLM 2 using domain expertise and data development to improve performance by 38 F1 points in a matter of hours. In the landscape of modern enterprise applications, large language models (LLMs) like Google Gemini and PaLM 2 stand at the forefront of transformative technologies.
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