Insights on LLAMA-3 from Zhang Junlin

Insights on LLAMA-3 from Zhang Junlin

MLNLP community is a well-known machine learning and natural language processing community in China and abroad, covering NLP graduate students, university teachers, and researchers in enterprises. The Community’s Vision is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted from | Weibo … Read more

The Dual Faces of AI Source God: Small Parameters, Big Models Can Reflect, But Are Only Limitedly Open Source

The Dual Faces of AI Source God: Small Parameters, Big Models Can Reflect, But Are Only Limitedly Open Source

During the tuning process of the Llama 3 model, Chen Tianchu discovered that this open-source large model, supported by powerful computing power and high-quality massive data, indeed “opened a window for an open experience” for enterprises or individual users without sufficient computing power. Author: Qian Yujuan Cover Image: Tuchong Creative More than two weeks have … Read more

Fine-Tuning Llama 3 with Hugging Face for $250

Fine-Tuning Llama 3 with Hugging Face for $250

Reporting by Machine Heart Editor: Zhao Yang Fine-tuning large language models has always been easier said than done. Recently, Hugging Face’s technical director, Philipp Schmid, published a blog that details how to fine-tune large models using libraries and FSDP and Q-Lora available on Hugging Face. We know that open-source large language models like Llama 3 … Read more

Implementing Local RAG with Groq and Llama 3: Phidata Framework Application and Performance Showcase

Implementing Local RAG with Groq and Llama 3: Phidata Framework Application and Performance Showcase

Phidata is a framework designed for building AI agents with memory, knowledge, and tools. https://www.phidata.com/ https://github.com/phidatahq/phidata https://docs.phidata.com/introduction Three Aspects of Phidata Enhancing LLM Functionality: Memory: Phidata stores chat history in a database, allowing large language models to support longer conversations, thereby better understanding and tracking the context of dialogues. Knowledge: By storing business-relevant information in … Read more

Llama 3.3: Meta AI Releases New Text-Based Language Model

Llama 3.3: Meta AI Releases New Text-Based Language Model

πŸš€ Quick Read Model Parameters: Llama 3.3 has 70B parameters, comparable to the 405B parameters of Llama 3.1. Multilingual Support: Supports input and output in 8 languages including English, German, French, etc. Application Scenarios: Suitable for chatbots, customer service automation, language translation, and various other scenarios. Main Content What is Llama 3.3 WeChat Official Account: … Read more