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Groq, a tech company, focuses on delivering fast inference speed and low latency for generative AI applications. Microsoft introduces 1-bit LLMs, paving the way for BitNet b1.58. Groq's LPU technology integrates with LlamaIndex for LLM generation. Microsoft research presents LongRoPE for extending LLM context window. Various entities like ChatGPT and datasets for LLMs play significant roles in leveraging LLM capabilities.
"Every CIO is trying to figure out the enterprise use cases of generative AI. Glean was built with data safety and governance in mind. When they layered on large language models, the adoption has really accelerated," @mamoonha, @kleinerperkins Read more on @Reuters ⬇️ https://t.co/dYgXvOQxml
'Feels like magic!': Groq's ultrafast LPU could well be the first LLM-native processor — and its latest demo may well convince Nvidia and AMD to get out their checkbooks #DL #AI #ML #DeepLearning #ArtificialIntelligence #MachineLearning https://t.co/j8NYiP6uA4
"Recent work like Groq has demonstrated promising results and great potential for building specific hardware (e.g., LPUs) for LLMs. Going one step further, we envision and call for actions to design new hardware and system specifically optimized for 1-bit LLMs, given the new… https://t.co/DPIvTjoSDK
