Posts tagged with: Large Language Models
Content related to Large Language Models
Happy-LLM: Comprehensive Guide to Large Language Models
Dive into the world of Large Language Models (LLMs) with Happy-LLM, a free and open-source tutorial project by Datawhale. This systematic guide takes you from NLP fundamentals to hands-on LLM implementation, covering Transformer architecture, pre-trained models, and practical application development. Learn to build and fine-tune your own LLM, explore RAG and Agent technologies, and gain a deep understanding of the AI revolution. Ideal for students, researchers, and LLM enthusiasts eager to master the intricacies of modern AI.
LLaMA-Factory: Unified Fine-Tuning for 100+ LLMs & VLMs
Fine-tuning large language models can be a complex and resource-intensive task. LLaMA-Factory emerges as a game-changer, offering a unified and highly efficient platform for the fine-tuning of over 100 Large Language Models (LLMs) and Vision Language Models (VLMs). This open-source project, recognized at ACL 2024, simplifies complex AI development workflows with its zero-code command-line interface and intuitive Web UI. Trusted by industry giants like Amazon and NVIDIA, LLaMA-Factory empowers developers and researchers to enhance model performance across diverse tasks, from multi-turn dialogue to multimodal understanding, using advanced techniques like QLoRA and FlashAttention-2. Explore how this powerful tool can accelerate your AI projects.
Unsloth: Dramatically Speed Up LLM Fine-tuning & Save VRAM
Discover Unsloth, the open-source library revolutionizing Large Language Model (LLM) fine-tuning. Achieve up to 2x faster training and reduce GPU VRAM consumption by up to 80% compared to standard methods. Unsloth supports a wide range of models like Llama, Qwen, Gemma, and Mistral, along with Text-to-Speech and Vision models. Its user-friendly approach allows for free fine-tuning via beginner-friendly notebooks, enabling efficient training even on limited hardware. Dive into efficient LLM development with Unsloth's powerful features and robust performance.