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It has been a wildly busy week in AI information because of OpenAI, together with a controversial blog post from CEO Sam Altman, the wide rollout of Superior Voice Mode, 5GW data center rumors, major staff shake-ups, and dramatic restructuring plans.
However the remainder of the AI world would not march to the identical beat, doing its personal factor and churning out new AI fashions and analysis by the minute. This is a roundup of another notable AI information from the previous week.
Google Gemini updates
On Tuesday, Google announced updates to its Gemini mannequin lineup, together with the discharge of two new production-ready fashions that iterate on previous releases: Gemini-1.5-Professional-002 and Gemini-1.5-Flash-002. The corporate reported enhancements in total high quality, with notable good points in math, lengthy context dealing with, and imaginative and prescient duties. Google claims a 7 % improve in efficiency on the MMLU-Pro benchmark and a 20 % enchancment in math-related duties. However as you understand, when you’ve been studying Ars Technica for some time, AI benchmarks aren’t as useful as we wish them to be.
Together with mannequin upgrades, Google launched substantial value reductions for Gemini 1.5 Professional, chopping enter token prices by 64 % and output token prices by 52 % for prompts underneath 128,000 tokens. As AI researcher Simon Willison noted on his weblog, “For comparability, GPT-4o is presently $5/[million tokens] enter and $15/m output and Claude 3.5 Sonnet is $3/m enter and $15/m output. Gemini 1.5 Professional was already the most cost effective of the frontier fashions and now it is even cheaper.”
Google additionally elevated charge limits, with Gemini 1.5 Flash now supporting 2,000 requests per minute and Gemini 1.5 Professional dealing with 1,000 requests per minute. Google experiences that the newest fashions supply twice the output pace and 3 times decrease latency in comparison with earlier variations. These adjustments might make it simpler and less expensive for builders to construct purposes with Gemini than earlier than.
Meta launches Llama 3.2
On Wednesday, Meta announced the discharge of Llama 3.2, a major replace to its open-weights AI mannequin lineup that we now have covered extensively up to now. The brand new launch consists of vision-capable massive language fashions (LLMs) in 11 billion and 90B parameter sizes, in addition to light-weight text-only fashions of 1B and 3B parameters designed for edge and cellular gadgets. Meta claims the imaginative and prescient fashions are aggressive with main closed-source fashions on picture recognition and visible understanding duties, whereas the smaller fashions reportedly outperform similar-sized rivals on varied text-based duties.
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