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Explaining Tokens — the Language and Currency of AI

NVIDIA AI Blog

Under the hood of every AI application are algorithms that churn through data in their own language, one based on a vocabulary of tokens. AI factories a new class of data centers designed to accelerate AI workloads efficiently crunch through tokens, converting them from the language of AI to the currency of AI, which is intelligence.

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Why job postings may be attracting narcissistic candidates—without companies realizing it

Fast Company Tech

We decided to study job postings after noticing that the language used to describe an ideal candidate often included traits linked to narcissism. We call the two sets rule-follower and rule-bender language. Our current findings shed light on the importance of carefully crafting job posting language.

Job 106
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Google Research, 2022 & Beyond: Language, Vision and Generative Models

Google Research AI blog

Transform modalities, or translate the world’s information into any language. I will begin with a discussion of language, computer vision, multi-modal models, and generative machine learning models. We want to solve complex mathematical or scientific problems. Diagnose complex diseases, or understand the physical world.

Language 132
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Telecom Leaders Call Up Agentic AI to Improve Network Operations

NVIDIA AI Blog

LTMs customized, multimodal large language models ( LLMs ) trained specifically on telco network data are core elements in the development of network AI agents, which automate complex decision-making workflows, improve operational efficiency, boost employee productivity and enhance network performance.

Network 88
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How Hebbia is building AI for in-depth research

Fast Company Tech

For instance, if an investor asks a RAG-powered system whether a particular company looks like a good investment, the search process might surface parts of the business’s financial filings using that kind of language, like favorable quotes from the CEO, rather than conducting an in-depth analysis based on criteria for picking a stock.

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The Heart and Soul of Lean Impact: A/B Testing Experiments and Validated Learning

Beth's Blog: How Nonprofits Can Use Social Media

Here’s the method. Use human centered design principles, not your arrogance of thinking you know what works for your audience without testing. Good testing begins with a hypothesis and collecting data to understand if you are right or wrong. Don’t let your vision become delusional.

Test 117
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Characterizing Emergent Phenomena in Large Language Models

Google Research AI blog

Posted by Jason Wei and Yi Tay, Research Scientists, Google Research, Brain Team The field of natural language processing (NLP) has been revolutionized by language models trained on large amounts of text data. Overall, we present dozens of examples of emergent abilities that result from scaling up language models.