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Home AI in Fintech

AI – OpenAI, others facing delays with training new LLMs

AiNEWS2025 by AiNEWS2025
2024-12-11
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Be a part of us in London on 26 November to discover the present AI challenges, alternatives, and the way forward for AI in monetary companies.

Editorial

This content material has been chosen, created and edited by the Finextra editorial workforce primarily based upon its relevance and curiosity to our group.

AI giants corresponding to OpenAI, Google, Anthropic, and others are struggling to construct extra superior AI as their present strategies attain their limitations, Bloomberg and Reuters reported this week. Firms have been going through delays, challenges an disappointing outcomes of their AI arms race of constructing superior LLMs that outperform present ones, like Chat GPT-4.

Partially attributable to sky-high coaching prices for LLMs, in addition to hardware-induced failures and energy shortages attributable to sophisticated methods and the sheer quantity of vitality wanted to energy AI. On prime of that, corporations are going through the brand new problem that AI fashions have exhausted all readily-available (and accessible) information.

To beat these challenges, researchers are exploring new ideas, corresponding to ‘test-time compute’, designed to strengthen the capabilities of AI of their ‘inference’ section. In easy phrases, which means present AI fashions are being skilled to take extra time and energy processing complicated requests to be able to present extra highly effective output.

Noam Brown, researcher at OpenAI, defined it in sensible phrases at a TED AI occasion: “It turned out that having a bot suppose for simply 20 seconds in a hand of poker bought the identical boosting efficiency as scaling up the mannequin by 100,000x and coaching it for 100,000 instances longer,” mentioned Noam Brown, a researcher at OpenAI who labored on o1, at TED AI convention in San Francisco final month.

As AI remains to be in its infancy in lots of organisations, the fact is that many organisations will face challenges and delays as we uncover the true potential of AI in monetary companies. Overcoming these challenges and deploying in one of the best ways doable are simply among the themes mentioned at Finextra’s inaugural NextGen: AI occasion, going down in London on 26 November.

Discover our agenda and register today to join us in reimagining AI in financial services.

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