Difference between revisions of "LangChain"
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| − | = Visual ChatGPT = | + | = <span id="Visual ChatGPT"></span>Visual ChatGPT = |
| + | * [[ChatGPT#Visual ChatGPT|Visual ChatGPT using LangChain]] | ||
<youtube>7YEiEyfPF5U</youtube> | <youtube>7YEiEyfPF5U</youtube> | ||
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| + | ----------------- | ||
<youtube>EEE</youtube> | <youtube>EEE</youtube> | ||
Revision as of 21:35, 21 March 2023
YouTube ... Quora ...Google search ...Google News ...Bing News
- Case Studies
- Natural Language Processing (NLP) ...Generation ...LLM ...Tools & Services
- Assistants ... Hybrid Assistants ... Agents ... Negotiation
- Attention Mechanism ...Transformer Model ...Generative Pre-trained Transformer (GPT)
- Generative AI ... OpenAI's ChatGPT ... Perplexity ... Microsoft's BingAI ... You ...Google's Bard
LangChain is a framework built around Large Language Models (LLMs) 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.
- Python library
- Javascript
Javascript
Zapier
Pinecone
Supabase
Visual ChatGPT
