Author: Aayush Mittal

Founded by alums from Google’s DeepMind and Meta, Paris-based startup Mistral AI has consistently made waves in the AI community since 2023. Mistral AI first caught the world’s attention with its debut model, Mistral 7B, released in 2023. This 7-billion parameter model quickly gained traction for its impressive performance, surpassing larger models like Llama 2

Grouped Query Attention (GQA) Grouped-query attention Llama 3.1 utilizes Grouped Query Attention, which is an important optimization technique not fully covered in the previous response. Let’s explore this in more detail: Grouped Query Attention (GQA) is a variant of multi-head attention that aims to reduce computational costs and memory usage during inference, particularly for long

Fine-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 compared to training from scratch. In this guide, we’ll walk through the steps to fine-tune Llama 3 using QLoRA (Quantized LoRA), a parameter-efficient

Large Language Models (LLMs) deploying on real-world applications presents unique challenges, particularly in terms of computational resources, latency, and cost-effectiveness. In this comprehensive guide, we’ll explore the landscape of LLM serving, with a particular focus on vLLM (vector Language Model), a solution that’s reshaping the way we deploy and interact with these powerful models. The

Large Language Models (LLMs) has seen remarkable advancements in recent years. Models like GPT-4, Google’s Gemini, and Claude 3 are setting new standards in capabilities and applications. These models are not only enhancing text generation and translation but are also breaking new ground in multimodal processing, combining text, image, audio, and video inputs to provide

As transformer models grow in size and complexity, they face significant challenges in terms of computational efficiency and memory usage, particularly when dealing with long sequences. Flash Attention is a optimization technique that promises to revolutionize the way we implement and scale attention mechanisms in Transformer models. In this comprehensive guide, we’ll dive deep into

The ability to generate 3D digital assets from text prompts represents one of the most exciting recent developments in AI and computer graphics. As the 3D digital asset market is projected to grow from $28.3 billion in 2024 to $51.8 billion by 2029, text-to-3D AI models are poised to play a major role in revolutionizing