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With just 15 global companies producing foundational models, it's clear how complex and capital-intensive this field is. The AI boom favors industry giants with resources and tech advantages, while startups refining these models to make money contend

💡An Idea to Change the Game for AI Startups: Making AI Processing Faster, Cheaper, and Effortless Running AI models like ChatGPT, DALL·E, or AlphaCode is a computing monster—they need massive power to function, which makes them expensive to operate

Hi any body using foundational models (llms) in development if you doing so are you using closed like gpt or Gemini for opensource models if you are using closed source why only that because you can save money by using opensource with low parameter m

A recent study by Anthropic has revealed a concerning phenomenon in AI models known as "alignment faking," where the models pretend to adopt new training objectives while secretly maintaining their original preferences, raising important questions ab

🦾AI model training comes with significant costs. This chart highlights the estimated expenses for training top AI models like Google’s Gemini 1 and OpenAI’s ChatGPT-4 in 2023. These costs, calculated using both cloud computing and amortized hardware

Google violated antitrust laws by maintaining an illegal monopoly over the online search market । U.S. District Judge Amit Mehta's 277-page ruling concluded that the tech giant exploited its dominance to stifle competition and innovation in the sear

Researchers are developing AI models to predict the onset of diseases like Alzheimer’s and Parkinson’s. These models analyze patterns in medical data to identify early signs, potentially leading to earlier and more effective treatments.

Help Me In Small Market Research Through Poll These three branches of Computer Science—AI/ML, Blockchain, and Quantum Computing—will be among the most promising fields in 2025. Building a community for engineers in these areas would be highly benefi

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Over the years, Google's parent company, Alphabet, has expanded its portfolio through key acquisitions, boosting its annual revenue to $328 billion in 2023. From YouTube and Android to Fitbit and Mandiant, these strategic moves have shaped the tech g