Difference between revisions of "LangChain"
m |
m |
||
| Line 41: | Line 41: | ||
<youtube>fLy0VenZyGc</youtube> | <youtube>fLy0VenZyGc</youtube> | ||
<youtube>ziu87EXZVUE</youtube> | <youtube>ziu87EXZVUE</youtube> | ||
| − | <youtube> | + | <youtube>X550Zbz_ROE</youtube> |
| − | <youtube> | + | <youtube>IuRbS0-5qHM</youtube> |
<youtube>EEE</youtube> | <youtube>EEE</youtube> | ||
<youtube>EEE</youtube> | <youtube>EEE</youtube> | ||
Revision as of 22:00, 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