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...
Meta has released the most important open source AI model ever with 405 billion parameters, 'Rama 3.1'. It emphasized that this model is comparable to the present best performing models akin to OpenAI's 'GPT-4o'...
Apple has released a brand new open source Small Language Model (SLM) that it claims is its strongest, trained on high-quality datasets through data curation.
VentureBeat reported on the nineteenth (local time) that Apple has...