TeeTrackerUtilize Audio Models in Multi-Modal ChatUse different audio models to support multimodal chatting and categorize the types of audio models.Jun 23Jun 23
TeeTrackerRPA+AI utilizes various AIs for automating pipeline processesRobotic Process Automation with make.comJun 10Jun 10
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…Apr 7Apr 7
TeeTrackerLangChain: History-Driven RAG Enhanced By LLM-Chain Routing· Abstract · Method ∘ RAG Basic Concept ∘ RAG with Route · Implementation ∘ Core ∘ Route Chain ∘ Context Chain ∘ LLM ∘ CodeMar 27Mar 27
TeeTrackerLangChain: Multi-User Conversation· Abstract · Method ∘ Preconditions for the experiment ∘ Role field ∘ id ∘ content ∘ Apply ConversationBufferMemory and…Mar 211Mar 211
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 —…Mar 14Mar 14
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…Mar 11Mar 11
TeeTrackerLangGraph: Create an Agent from ScratchUse LangGraph to navigate the Agent instead of the traditional while-true loop.Mar 6Mar 6
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.Mar 31Mar 31
TeeTrackerQuick Tour: Ollama+Gemma+LangChainUtilize Ollama for hosting Gemma and utilize LangChain for developing an AI application with a local model.Feb 23Feb 23