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Recent advancements in artificial intelligence highlight the emergence of Large Behavior Models (LBMs), which are surpassing traditional Large Language Models (LLMs) in capabilities. These new models are designed to create AI that can not only generate text but also exhibit behaviors akin to walking and talking. This shift represents a significant evolution in AI technology, paving the way for more interactive and human-like interactions with machines. Experts emphasize that the development of LBMs could reshape the landscape of AI, moving beyond the limitations of LLMs. Companies such as OpenAI are actively exploring these innovations, aiming to enhance training techniques that mimic human cognitive processes to address challenges in developing larger models.
Artificial intelligence companies like OpenAI are seeking to overcome unexpected delays and challenges in the pursuit of ever-bigger large language models by developing training techniques that use more human-like ways for algorithms to ‘think’ https://t.co/ASKUaNtYdY
From @IBM's Deep Blue defeating Kasparov to today's large language models, strategic AI has come a long way. Discover the historical developments and the architecture behind these intelligent systems in @hc_ekne's article. #LLM #GenAI https://t.co/Vv9BkjudWC
In recent years, large language models have redefined the capabilities of artificial intelligence by generating human-like text, solving complex problems and performing tasks autonomously. @OLADIMEJISOWOLE @Andela #CICD #Python https://t.co/xzIqv5mDuK
