Photographer: Product Manager Sea Urchin Sushi If you have used the ChatGPT API extensively or have heard of AutoGPT, you might know that it relies on the language framework LangChain[1]. LangChain allows large language models to access the internet, interact with various APIs, and even execute system commands. The number of tokens supported by ChatGPT’s … Read more
Author: Leonie Monigatti Translation: Zhao Jiankai Proofreading: zrx This article is approximately 4800 words long and is recommended for a 7-minute read. This article introduces you to the LangChain framework. Tags: LangChain, LLM Application, OpenAI Since the release of ChatGPT, large language models (LLMs) have gained significant popularity. Even if you may not have enough … Read more
Photographer: Product Manager Fried Crab Shell When it comes to RAG or Agent, many people immediately think of LangChain or LlamaIndex, as they seem to believe these two are standard tools for developing applications with large models. But for me, I particularly dislike these two. Because they are the typical representatives of over-encapsulation. Especially with … Read more
This article will introduce the LangChain framework and explain its functions with Python code examples, utilizing the OpenAI API, along with code and results. Interested readers can follow along with the code. What is LangChain Framework LangChain is a framework for building and deploying applications based on language models (such as large language models, LLMs). … Read more
In the past year, diffusion models have become extremely popular and have become important productivity tools. New works continue to emerge in the AI research field, making it a hot topic in both industry and academia. This article will provide a hands-on tutorial for deploying the widely discussed stable-diffusion-webui project on the Qudong Cloud platform! … Read more
MLNLP(Machine Learning Algorithms and Natural Language Processing) community is a well-known natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university professors, and corporate researchers. The Vision of the Communityis to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, as well … Read more
Click the above “Beginner’s Guide to Computer Vision”, select “star” or “pin” Heavyweight content delivered promptly Author: Rédigé par Gabriel Guerin Translated by: ronghuaiyang Source: AI Park Introduction In some cases, collecting data from various scenes can be challenging. This article presents a method. Deep learning models require a significant amount of data to achieve … Read more
Source: DeepHub IMBA This article is approximately 2300 words long and is recommended for a 10-minute read. This article introduces how to run LLM on high-performance CPU using the llama.cpp library in Python. Large Language Models (LLM) Are Becoming Increasingly Popular, But They Require A Lot Of Resources, Especially GPU. Large language models (LLM) are … Read more
Chatbot development is a challenging and complex task that requires a combination of various technologies and tools. In this field, the combination of LLAMA, LangChain, and Python forms a powerful trio, providing excellent support for the design and implementation of chatbots. First, LLAMA is a powerful natural language processing tool with advanced semantic understanding and … Read more
Source: Algorithm Advancement This article is approximately 6800 words long and is recommended for a 13-minute read. This article teaches you how to implement Llama3 from scratch. Since Meta released the open-source model Llama3 series, it has outperformed industry SOTA models on several key benchmarks and has a significant lead in code generation tasks. Amazing! … Read more