YouTube ... Quora ...Google search ...Google News ...Bing News

Assistants ... Personal Companions ... Agents ... Negotiation ... LangChain
Excel ... Documents ... Database ... Graph ... LlamaIndex ... AIOps/MLOps ... AIaaS/MLaaS
Immersive Reality ... Metaverse ... Digital Twin ... Internet of Things (IoT) ... Transhumanism
LangChain | GitHub
- Prompt Templates | Langchain - GitHub
- Harrison Chase | LinkedIn ... GitHub ...
Excel ... Documents ... Database ... Graph ... AIOps/MLOps ... AIaaS/MLaaS
Case Studies
- Writing / Publishing
Python ... Generative AI with Python ... Javascript ... Generative AI with Javascript
Development ...AI Pair Programming Tools ... Analytics ... Visualization ... Diagrams for Business Analysis
Gaming ... Game-Based Learning (GBL) ... Security ... Generative AI ... Metaverse ... Quantum ... Game Theory
ChatGPT Integration Twitter
Generative AI ... Conversational AI ... OpenAI's ChatGPT ... Perplexity ... Microsoft's Bing ... You ...Google's Bard ... Baidu's Ernie
Large Language Model (LLM) ... Natural Language Processing (NLP) ...Generation ... Classification ... Understanding ... Translation ... Tools & Services
Prompt Engineering (PE) ...PromptBase ... Prompt Injection Attack
Auto-GPT
LangChain Chat
Building a GPT-3 Enabled Document Assistant with LangChain | Peter Foy - MLQ.ai
Task-driven Autonomous Agent Utilizing GPT-4, Pinecone, and LangChain for Diverse Applications | Yohei Nakajima
- Autonomous GPT-4
AgentGPT template | Vercel ... Assemble, configure, and deploy autonomous AI Agents in your browser, using LangChain, OpenAI, Auto-GPT and T3 Stack

LangChain is a Python framework built around Large Language Model (LLM) that can be used for chatbots, Generative Question-Answering (GQA), summarization, and more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs. LLMs are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you are able to combine them with other sources of computation or knowledge.