LLaMA

Nvidia unveils LLM that surpasses OpenAI and Antropic... Constructing a model-centered ecosystem Nvidia, which announced model competition with OpenAI and others by unveiling the Large Multimodal Model (LMM) earlier this month, is now launching...

Meta's recent launch of Llama 3.2, the newest iteration in its Llama series of huge language models, is a big development within the evolution of open-source generative AI ecosystem. This upgrade extends Llama’s capabilities...

In today's fast-paced Artificial Intelligence (AI) world, fine-tuning Large Language Models (LLMs) has grow to be essential. This process goes beyond simply enhancing these models and customizing them to satisfy specific needs more precisely....

Meta has solidified its position as a serious player within the AI market with the discharge of advanced tools like Llama 3.1 405B. Nevertheless, despite its widespread appeal, the supply of Meta AI and...

Large language models (LLMs) are increasingly utilized for complex tasks requiring multiple generation calls, advanced prompting techniques, control flow, and structured inputs/outputs. Nevertheless, efficient systems for programming and executing these applications are lacking. SGLang,...

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...

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...

In partnership with Advertise with us Hello, AI Enthusiasts!On this edition of AI Secret, we highlight a podcast by Latent Space featuring an interview with Thomas Scialom, an AI scientist at Meta. Scialom discusses...