这是一本全面讲解RAG技术原理、实战应用与系统构建的著作。作者结合自身丰富的实战经验,详细阐述了RAG的基础原理、核心组件、优缺点以及使用场景,同时探讨了RAG在大模型应用开发中的变革与潜力。书中不仅揭示了RAG技术背后的数学原理,还通过丰富的案例与代码实现,引导读者从理论走向实践,轻松掌握RAG系统的构建与优化。无...
In this part, we will learn to access the Anthropic API to generate the response using the Claude 2.1 model. You can code along by creating a copy of this worbook:Getting Started with the Claude 2 and the Claude 2 API. We will load theosfor accessing the API key andanthropiclibrary for...
Kaggle is the market leader when it comes to data science hackathons. I started my own data science journey by combing my learning on both Analytics Vidhya as well as Kaggle – a combination that helped me augment my theoretical knowledge with practical hands-on coding. Now, here’s the thi...
61_getting_started_habana 61_ml_director_insights 61_supercharged_customer_service_with_nlp 62_fellowship 62_pytorch_fsdp 63_deep_rl_intro 64_fastai 65_series_c 66_optimum_inference 67_ambassadors 67_ml_director_insights 68_gradio_blocks 69_sasha_luccioni_interview 70_deep_rl...
You can also use LangChain’sBedrockEmbeddingsclient alongside the Amazon Bedrock LLM client to simplify implementing RAG, semantic search, and other embeddings-related patterns. Use cases for embeddings Although RAG is currently the most popular use case for working with embeddings, there are many ...
Let's get started! Setting up an Habana Gaudi instance on AWS The simplest way to work with Habana Gaudi accelerators is to launch an Amazon EC2 DL1 instance. These instances are equipped with 8 Habana Gaudi processors that can easily be put to work thanks to the Habana Deep...
Getting started with Cross-region inference To get started with cross-region inference, you make use ofInference Profilesin Amazon Bedrock. An inference profile for a model, configures different model ARNs from respective AWS regions and abstracts them behind a unified model identif...
入口代码:https://github.com/china10s/ai-getting-started/blob/main/src/app/page.tsx 向量数据库:Pinecone/Supabase pgvector 提供与LLM交互所需要的向量数据库。 在应用开始前,首先会将blogs的样例文本作为RAG的源信息,通过Lanchain进行向量化并存入向量数据: 执行脚本:npm run generate-embeddings-pinecone代码 ...
get going To make a beginning; get started. get hold (or ahold) of 1. To bring into one's grasp, possession, or control. 2. To communicate with, especially by telephone. get it Informal To be punished or scolded: You broke the vase. Now you're really going to get it! get...
Getting started Quick start guide In-depth samples Supported languages Concepts Kernel AI Services Enterprise Components Memory (Vector Stores) Prompt Engineering Plugins Text Search (RAG) Planning Frameworks Agent Framework Process Framework Getting Support ...