LM PoExploring Free GPU Platforms for Deep LearningIn the field of artificial intelligence (AI), particularly deep learning, having access to a powerful GPU is crucial for training complex…12h ago12h ago
LM PoFLUX.1: The Future of AI Image Generation, Now Accessible to AllBlack Forest Lab has unveiled FLUX.1, an advanced diffusion model for AI image generation, offering exceptional speed, quality, and prompt…3d ago13d ago1
LM PoThe Evolution of Scaling Laws for LLMsThis article reviews the evolution of neural scaling laws for large language models (LLMs), from OpenAI’s foundational work (2020) to…5d ago5d ago
LM PoA Guide to Estimating VRAM for LLMsTo perform large language model (LLM) inference efficiently, understanding the GPU VRAM requirements is crucial. VRAM is essential for…6d ago6d ago
LM PoThe Race for Faster Transformers: Innovations in Self-AttentionTransformer models rely heavily on the self-attention mechanism, which can be computationally expensive. Over the past year, several…Aug 2Aug 2
LM PoHow LLaMA-Adapter Beats LoRAIn the rapidly evolving field of natural language processing (NLP), large language models (LLMs) like LLaMA, developed by Meta, have shown…Aug 21Aug 21
LM PoMistral Large 2 Takes the LeadThe AI technology competition is heating up at an unprecedented rate, with advancements coming in rapid succession. Shortly after the…Jul 28Jul 28
LM PoInstruction Tuning for Large Language ModelsThis article explores the transformative impact of instruction tuning on large language models (LLMs). By training LLMs on a diverse set of…Jul 26Jul 26
LM PoUnlock LLaMA 3.1: A Beginner’s Guide to Getting Started AnywhereMeta has officially released LLaMA 3.1, a state-of-the-art open-source language model, as of July 23, 2024. The LLaMA 3.1 model is…Jul 24Jul 24
LM PoUnderstanding Quantization for LLMsAs large language models (LLMs) continue to grow in size and complexity, the need for efficient deployment and inference becomes…Jul 23Jul 23