Scaling

How you can construct AI scaling laws for efficient LLM training and budget maximization

When researchers are constructing large language models (LLMs), they aim to maximise...

Anthropic’s AI “vaccines,” scaling gamble, and why it shut OpenAI out

Good morning. It’s Monday, August 4th.On at the present time in tech history: In 1987the legendary Connection Machine CM-2 from Pondering Machines Corporation finally landed in research labs. With its 65,536 processors, it...

R.E.D.: Scaling Text Classification with Expert Delegation

With the brand new age of problem-solving augmented by Large Language Models (LLMs), only a handful of problems remain which have subpar solutions. Most classification problems (at a PoC level) will be solved by...

From Pilot to Production: Insight on Scaling GenAI Programs for the Long-Term

Years from now, once we reflect on the proliferation of generative AI (GenAI), 2024 will probably be seen as a watershed moment – a period of widespread experimentation, optimism, and growth, when business leaders...

Scaling Statistics: Incremental Standard Deviation in SQL with dbt

Why scan yesterday’s data when you possibly can increment today’s?The code below assumes understanding of some dbt concepts, in case you’re unfamiliar with it, chances are you'll still find a way to grasp the...

Hugging Face, inference technology for SLM, ‘Test-Time Scaling’ open source released

Hugging Face has unveiled technology to enhance the inference performance of the open source Small Language Model (sLM). Like OpenAI's 'o1', it is predicated on the 'Test-Time Compute' method, which improves response quality by...

Breaking the Scaling Code: How AI Models Are Redefining the Rules

Artificial intelligence has taken remarkable strides lately. Models that when struggled with basic tasks now excel at solving math problems, generating code, and answering complex questions. Central to this progress is the concept of...

Nadella and Bengio “Test-time compute is the brand new scaling law for AI”

Satya Nadella, CEO of Microsoft (MS), and Professor Yoshua Bengio of the University of Montreal, a master of deep learning, jointly announced that inference-centered 'test-time computing' will grow to be the brand new law...

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