Simplifying Generative AI App Development - Standardization Matters
Explore best practices and open standards for generative AI development, focusing on LLM-based applications and RAG techniques while examining reference architectures and community initiatives.
LangChain Legends: Building LLM-Powered Applications
Master LangChain's framework for building powerful LLM applications through hands-on exploration of prompt templates, chains, agents, and memory, culminating in creating a practical RAG application.
Building RAG Applications: Speaking with Unstructured Data Using LangChain - Part 1
Dive into building a RAG application using Langchain, multiple LLMs, and vector stores to enable interactive conversations with unstructured data through a Streamlit interface.
Building RAG Applications: Speaking with Unstructured Data Using LangChain - Part 2
Dive into building an end-to-end RAG application using Langchain, multiple LLMs, and vector stores to enable interactive conversations with unstructured data through a Streamlit interface.
Building End-to-End RAG Applications with Unstructured Data - Part 3: Docker Integration
Dive into containerization with Docker and Docker Compose while building a RAG application that processes unstructured data using LangChain, multiple LLMs, and vector stores through Streamlit.
Building DietGPT: Estimating Calories with RAG - Part 2
Learn how to build a calorie estimation system using GPT and RAG, covering dataset preparation, API integration, and results analysis for dietary applications.
Encoder-Only Transformers: Understanding BERT and RAG Architecture
Discover how encoder-only transformers power RAG, sentiment analysis, and classification through clear explanations of word embedding, positional encoding, and attention mechanisms.
Building RAG Applications from Scratch with NVIDIA NIM Microservices
Dive into building scalable RAG applications using NVIDIA NIM microservices, covering text embedding, reranking, and chatbot integration for high-performance AI deployment.
Exploring New Features in Wolfram Language 14.1
Discover the latest features in Wolfram Language 14.1, including unified apps, vector databases, LLM integration, symbolic arrays, biomolecule visualization, and enhanced computational capabilities across various domains.