Major AI updates from Meta and Google-and a new era for AI-designed chips?
Briefly

from Ars Technica5 months ago
Google's Gemini updates have introduced two new production-ready models, improving quality significantly with 7% performance increase and offering cheaper pricing for developers, ensuring better accessibility.
Ars Technicahttps://arstechnica.com/information-technology/2024/09/major-ai-updates-from-meta-and-google-and-a-new-era-for-ai-designed-chips/
AI typically benchmarks aren't as useful as we would like them to be, yet Google claims robust gains with their latest Gemini models, impacting math, vision tasks, and more.
Ars Technicahttps://arstechnica.com/information-technology/2024/09/major-ai-updates-from-meta-and-google-and-a-new-era-for-ai-designed-chips/
Simon Willison commented that Gemini 1.5 Pro is now even cheaper for consumers with significant token cost reductions, marking a competitive edge compared to GPT-4o and Claude 3.5 Sonnet.
Ars Technicahttps://arstechnica.com/information-technology/2024/09/major-ai-updates-from-meta-and-google-and-a-new-era-for-ai-designed-chips/
With rate limits increased to 2,000 requests per minute for Gemini 1.5 Flash, Google has enhanced application efficiency and reduced latency, facilitating better developer experiences.
Ars Technicahttps://arstechnica.com/information-technology/2024/09/major-ai-updates-from-meta-and-google-and-a-new-era-for-ai-designed-chips/
Read at Ars Technica
#ai-updates #google-gemini #meta-llama-32 #machine-learning #ai-benchmarking
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