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With Generative AI Advances, The Time to Tackle Responsible AI Is Now

Unite.AI

However, only around 20% have implemented comprehensive programs with frameworks, governance, and guardrails to oversee AI model development and proactively identify and mitigate risks. Given the fast pace of AI development, leaders should move forward now to implement frameworks and mature processes.

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This AI newsletter is all you need #83

Towards AI

What happened this week in AI by Louie This week, Meta’s AI strategy was in focus, with Mark Zuckerberg boasting of Meta’s GPU hoard and outlining his open-source-focused AI vision. But we think it is important to see diversity in AI strategy, and one of the large tech companies still claims to embrace open source.

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Introducing Snorkel’s Foundation Model Data Platform

Snorkel AI

In 2007, Google researchers published a paper on a class of statistical language models they dubbed “large language models”, which they reported as achieving a new state of the art in performance. They used a very standard model and a decoding algorithm so simple they named it “Stupid Backoff” 1.

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Introducing Snorkel’s Foundation Model Data Platform

Snorkel AI

In 2007, Google researchers published a paper on a class of statistical language models they dubbed “large language models”, which they reported as achieving a new state of the art in performance. They used a very standard model and a decoding algorithm so simple they named it “Stupid Backoff” 1.

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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

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. ML algorithms understand language in the NLU subprocesses and generate human language within the NLG subprocesses. Businesses need a sophisticated, scalable solution to enhance customer engagement and streamline operations.

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

AI systems like LaMDA and GPT-3 excel at generating human-quality text, accomplishing specific tasks, translating languages as needed, and creating different kinds of creative content. Other potential areas : Video generation (36%) and 3D model generation (26%) can create marketing materials, virtual renderings and product mockups.