Cerebras Systems has launched Cerebras Inference, claiming it to be the fastest AI inference service in the world, achieving performance that surpasses traditional GPU-based systems by 20 times with significantly improved cost-effectiveness, particularly suitable for processing large language models (LLMs). Its 8B version processes 1800 tokens per second, while the 70B version processes 450 tokens, with speed and cost-performance far exceeding NVIDIA GPU solutions.

A start-up company with only 10 people, Nous Research, has challenged tech giant Meta with its AI model called Hermes3. Fine-tuned from the Llama3.1 model, Hermes3 boasts powerful performance, optimizing VRAM and disk requirements, capable of running on a single node. The model excels in dialogue capabilities, text understanding quality, and integrated agent capabilities, showcasing advanced abilities that transcend traditional language modeling. Nous Research focuses on open source.

The article mainly discusses the computational and storage challenges in the field of artificial intelligence, particularly regarding large language models (LLMs). With the enhancement of AI capabilities, such as the emergence of the Bloom model, the required computational resources and storage space have significantly increased, leading to high costs and accessibility issues. To tackle this problem, researchers have introduced 'quantization' techniques to reduce the model size and accelerate the running speed by lowering the precision of model weights and activations, while controlling potential accuracy loss. The article highlights the collaboration between Beihang University and SenseTime in developing this tool.

Meta has trained its latest AI model, Llama 3.1, using 16,384 GPUs, showcasing the astonishing speed of AI technological advancement. However, during this process, an average of one failure occurs every 3 hours, totaling 419 failures, with approximately half related to the H100 GPUs and their HBM3 memory. This data reveals the reliability challenges faced by supercomputing systems in their pursuit of performance breakthroughs. The complexity of the Llama 3.1 training cluster is comparable to a small city's neural network, with frequent failures. The Meta team has implemented strategies such as reducing...

Meta scientist Thomas Scialom reveals the secrets behind the development of Llama 3.1, whose 405B parameter scale was designed to compete with GPT-4. By increasing the number of training tokens rather than changing the architecture, Llama 3.1 achieves an optimized balance between model scale and the total amount of training data, resulting in significant leaps in knowledge depth and breadth. In terms of data selection, Scialom prefers synthetic data over publicly available internet text. The evaluation and improvement of Llama 3.1 utilize reward models and diverse benchmarks.

Amazon Web Services has launched the Llama3.1 model on its Amazon Bedrock platform, developed by Meta. This advanced AI model series includes 8B, 70B, and 405B parameters, showcasing exceptional performance across eight languages, including English and German. The models cater to various applications: Llama3.1405B for enterprise and research, Llama3.170B for content creation and conversational AI, and Llama3.18B for resource-limited scenarios. Th....

Cloudflare recently announced that as one of Meta's first partners, they have launched the latest Meta-released Llama3.18B model on the Workers AI platform. This move allows developers to start using this advanced AI tool on the very first day of its release.Llama3.1 is the latest member of Meta's Llama series models, renowned for its outstanding performance in general knowledge, controllability, mathematical operations, tool usage, and multilingual translation. The highlights of this update inc

In the realm of artificial intelligence, the competition between open-source and closed-source models has never ceased. The recent release of Meta AI's Llama 3.1 model, however, seems to have drawn a watershed line in this contest. This is not merely the launch of a new model; it is a sign of the maturation of open-source AI, heralding the arrival of a new era.Llama 3.1, developed by Meta AI's team, is a new generation of large-scale language models. In over 150 benchmark tests, its 405B paramet

Meta CEO Mark Zuckerberg recently announced the official release of Llama3.1, stating that it could be a significant milestone in the open-source AI field. Meta has introduced three different sizes of Llama3.1 models, with the most notable being the large model with 405 billion parameters. Zuckerberg claims it to be the "most advanced open-source model" currently available, and it can even compete with leading closed-source models in certain areas.In addition to the 405 billion parameter model,

Last night, Meta announced the open-source release of its latest large language model, Llama3.1 405B. This significant announcement marks the culmination of a year-long meticulous preparation, from project planning to final review, as the Llama3 series models are finally unveiled to the public. Llama3.1 405B is a multilingual tool usage model with 128 billion parameters. After pre-training with an 8K context length, the model underwent further continuous training with a 128K context length. Acco

Llama 3.1 has been leaked! You heard that right, this open-source model with 405 billion parameters has caused quite a stir on Reddit. It might be the closest open-source model to GPT-4o to date, and even surpasses it in certain aspects.Llama 3.1 is a large language model developed by Meta (formerly Facebook). Although the official release has not yet been made, the leaked version has already stirred up the community. This model not only includes the base model but also benchmark results for 8B,