TeeTrackerLangChain: Multi-User Conversation(follow-up)Use Cohere’s documents and a special field in additional_kwargsfeature to enhance the organization of information in multi-user…4 min read·Apr 7, 2024----
TeeTrackerLangChain: History-Driven RAG Enhanced By LLM-Chain Routing· Abstract · Method ∘ RAG Basic Concept ∘ RAG with Route · Implementation ∘ Core ∘ Route Chain ∘ Context Chain ∘ LLM ∘ Code6 min read·Mar 27, 2024----
TeeTrackerLangChain: Multi-User Conversation· Abstract · Method ∘ Preconditions for the experiment ∘ Role field ∘ id ∘ content ∘ Apply ConversationBufferMemory and…12 min read·Mar 21, 2024----
TeeTrackerQuick Tour: Zero-shot Image ClassificationThere are many ways to do Zero-shot image classification, and I’ll introduce 2 here. But first things first, let’s get this straight —…3 min read·Mar 14, 2024----
TeeTrackerLangChain: Use LLM Agent for World GPU Supply and Demand Prediction ReportReflecting the analytical methods of the AI era, based on the Agent mechanism and generative AI, intelligently generates necessary…13 min read·Mar 11, 2024----
TeeTrackerLangGraph: Create an Agent from ScratchUse LangGraph to navigate the Agent instead of the traditional while-true loop.3 min read·Mar 6, 2024--1--1
TeeTrackerRAG with Hypothetical Document Embeddings(HyDE)Hypothetical Document Embeddings, two-steps process of RAG. Implementation of HyDE retrieval by Llama-Index, hybrid, local or remote LLMs.3 min read·Mar 3, 2024--1--1
TeeTrackerQuick Tour: Ollama+Gemma+LangChainUtilize Ollama for hosting Gemma and utilize LangChain for developing an AI application with a local model.1 min read·Feb 23, 2024----
TeeTrackerLangGraph: hello,world!Using the simplest “hello, world” example to explain LangGraph, once you understand this, you won’t be confused.6 min read·Feb 22, 2024----
TeeTrackerFlowise.AI for LLM Chat-flow With your Own DocumentUtilize the codeless tool Flowise to create an LLM-based Chat-flow. For proof of concept, the tool is incredibly helpful and demonstrable.2 min read·Feb 20, 2024----