MIT's new fine-tuning method lets LLMs learn new skills without losing old ones

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.
HR Dive

Contextual learning could soon replace traditional learning

Corporate training is big business. Last year alone, American organizations spent a whopping $70.65 billion on corporate training and associated administrative costs, based on data from Training ...

Spire.AI and CrossKnowledge Announce Partnership to Redefine Enterprise Learning and Skills-based Talent Transformation

Spire.AI Empollination and CrossKnowledge Capabl partner to deliver contextual learning aligned to evolving enterprise ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
Forbes

Generative AI Becomes Domain Savvy Via In-Context Learning And Advanced Prompt Engineering

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. You would be hard-pressed to say that one or the other is ...
The Hindu

The battle between conceptual and contextual learning

Humans have waged some pointless battles for ages and, often, the trigger comes from a lack of adequate understanding of the matter and flawed judgement of the motives of the supposed adversary. One ...
Search Engine Roundtable

Jeff Dean: Combining Google Search With LLM In-Context Learning

Dwarkesh Patel interviewed Jeff Dean and Noam Shazeer of Google and one topic he asked about what would it be like to merge or combine Google Search with in-context learning. It resulted in a ...