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Microsoft (MS) has released a brand new series of small language models (sLMs) called 'Phi 3.5'. The benchmark results claim that it outperforms Google's 'Gemma 1.5', Meta's 'Rama 3.1', and OpenAI's 'GPT-4o Mini' in...

Apple has released a brand new benchmark tool that measures the actual capabilities of artificial intelligence (AI) in large language models (LLMs). The outcomes of testing major models showed that open source models are...

"Liner has been working to offer users with the search information they need for the past eight years. I imagine that the source selection ability of artificial intelligence (AI) search is by far the...

LG has released its recent model, 'EXAONE 3.0', as open source. It was emphasized that the small language model (SLM) with 7.8 billion parameters outperforms similarly sized global open source models reminiscent of 'Rama 3.1...

Memory Requirements for Llama 3.1-405BRunning Llama 3.1-405B requires substantial memory and computational resources:GPU Memory: The 405B model can utilize as much as 80GB of GPU memory per A100 GPU for efficient inference. Using Tensor...

Artificial intelligence (AI) specialist Acrylic (CEO Park Oe-jin) announced on the first that its large language model (LLM) 'Jonathan Allm' ranked first within the open source category on the 'Tiger Leaderboard' operated by Weight...

Google has open-sourced an on-device artificial intelligence (AI) model with 2.6 billion parameters. Google claims that the model outperforms larger models comparable to OpenAI’s ‘GPT-3.5’ and Mistral’s ‘Mixtral 8x7B’. VentureBeat reported on the thirty first...

Superb-tuning large language models (LLMs) like Llama 3 involves adapting a pre-trained model to specific tasks using a domain-specific dataset. This process leverages the model's pre-existing knowledge, making it efficient and cost-effective in comparison...