LLaMA

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...

Because the adoption of artificial intelligence (AI) accelerates, large language models (LLMs) serve a major need across different domains. LLMs excel in advanced natural language processing (NLP) tasks, automated content generation, intelligent search, information...

Within the realm of open-source AI, Meta has been steadily pushing boundaries with its Llama series. Despite these efforts, open-source models often fall wanting their closed counterparts by way of capabilities and performance. Aiming...

Artificial Intelligence (AI) transforms how we interact with technology, breaking language barriers and enabling seamless global communication. Based on MarketsandMarkets, the AI market is projected to grow from USD 214.6 billion in 2024 to...

Welcome, AI enthusiasts.Only a day after the discharge of Llama 3.1 405b, French AI startup Mistral AI dropped their latest flagship model: Large 2.Between these two AI powerhouses, open models are having a moment....