Unfortunately, I have to agree with this. Especially w/ longer context. I would bet that this is either extremely quantized, or significantly smaller than older GPT-4s. It has moments of genius, for sure, and the speed is amazing. But it definitely loses some of its magic.
MARKET TRENDS
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Cities in the Cloud: Smart Spaces AI Discussion at SCEUSA24
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Join NVIDIA Jumbi Edulbehram, Director of Global Business Development for Smart Cities and Spaces, moderating a discussion on "Cities in the Cloud" with @RemarkHoldings CEO Kai-Shing Tao and @Oracle NA Executive Director Joel Golub at #SCEUSA24. Register: https://
nvda.ws/4bIgzZs -
LLMs Transform Retail: GenAI Unlocks $660 Billion Potential
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Discover how Large Language Models (LLMs) are transforming retail! From enhanced customer service to streamlined logistics, GenAI could unlock $660 billion for retailers. Our experts explore how to use advanced RAG pipelines and function calling for AI agents in retail. Delve
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Career Move from Google to Twitter Reflects Big Tech Trends
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Hahaha! Looks like my progression is in reverse – I moved from Google to Twitter!
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OpenAI UI Performance: Latency and Error Handling Analysis
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But is that because the latency and error rate+handling has been bad up until now? I am not a fan of the OpenAI personality, but the UI interaction seems fantastic and very smooth.
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Abacus AI launches $10 subscription for major LLMs
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Yes, @abacusai has changed the game with the new $10 subscription for all of big LLMs (GPT-4o, Claude, Llama-3, etc)
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Educating the Market About New Approach Strategy
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I mean I realize it’s on me to “educate the market” about this approach. Helpful to see other ppl’s take on it – thx!
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AI Race: Marathon Strategy Over Sprint Mentality
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The AI race has begun, but it's a marathon, not a sprint.
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Free Users Gain Access to GPT-4o Text Model
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Y por lo que me reportáis los usuarios free empiezan a tener acceso al modelo GPT-4o (sólo texto) de forma gratuita. Un hito bastante importante! https://
x.com/sunrise_k10/st
atus/1791237070926631091
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GPT model MMLU performance shows slowing progress
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GPT-3’s score on the MMLU benchmark was 40%. First release of GPT-4 scored 86%, and today GPT-4o is 89%. An increase of just 3% — that’s a full year of progress. If you plot the prior trend we were supposed to be at 100, maybe 120% by now. AI is hitting a wall.