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.python-version
 
 
00.quickstart-langchain.ipynb
00.quickstart-langchain.ipynb
 
 
01.loaders-indexes-vectorstores.ipynb
01.loaders-indexes-vectorstores.ipynb
 
 
02.models.ipynb
02.models.ipynb
 
 
03.chains.ipynb
03.chains.ipynb
 
 
04.memory.ipynb
04.memory.ipynb
 
 
05.agents.ipynb
05.agents.ipynb
 
 
06.private-gpt4all-qa-pdf.ipynb
06.private-gpt4all-qa-pdf.ipynb
 
 
07.falcon-qlora-fine-tuning.ipynb
07.falcon-qlora-fine-tuning.ipynb
 
 
08.faster-llm-inference.ipynb
08.faster-llm-inference.ipynb
 
 
09.deploy-llm-to-production.ipynb
09.deploy-llm-to-production.ipynb
 
 
10.customer-support-chatbot-with-open-llm-and-langchain.ipynb
10.customer-support-chatbot-with-open-llm-and-langchain.ipynb
 
 
11.chatbot-with-local-llm-falcon-7b.ipynb
11.chatbot-with-local-llm-falcon-7b.ipynb
 
 
12.deploy-llama2-to-production-with-runpod.ipynb
12.deploy-llama2-to-production-with-runpod.ipynb
 
 
13.chat-with-multiple-pdfs-using-llama-2-and-langchain.ipynb
13.chat-with-multiple-pdfs-using-llama-2-and-langchain.ipynb
 
 
14.fine-tuning-llama-2-7b-on-custom-dataset.ipynb
14.fine-tuning-llama-2-7b-on-custom-dataset.ipynb
 
 
15.langchain-quickstart-with-llama-2.ipynb
15.langchain-quickstart-with-llama-2.ipynb
 
 
17.ai-agents-with-autogen.ipynb
17.ai-agents-with-autogen.ipynb
 
 
18.autogen-use-cases.ipynb
18.autogen-use-cases.ipynb
 
 
19.speedup-llm-inference-with-vllm.ipynb
19.speedup-llm-inference-with-vllm.ipynb
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
SDXL-Turbo.ipynb
SDXL-Turbo.ipynb
 
 
llama-2.ipynb
llama-2.ipynb
 
 
llava.ipynb
llava.ipynb
 
 
mamba-chat.ipynb
mamba-chat.ipynb
 
 
mistral-7b.ipynb
mistral-7b.ipynb
 
 
open-llama.ipynb
open-llama.ipynb
 
 
phi-2.ipynb
phi-2.ipynb
 
 
stable-vicuna.ipynb
stable-vicuna.ipynb
 
 
xgen.ipynb
xgen.ipynb
 
 
zephyr-7b-beta.ipynb
zephyr-7b-beta.ipynb
 
 

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Get SH*T Done with Prompt Engineering and LangChain

Build real-world AI apps with ChatGPT/GPT-4 and LangChain in Python

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LangChain

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LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

mlexpert.io

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artificial-intelligencechatgptdeep-learninggpt-4gpt4langchainlanguage-modelslarge-language-modelsllama2openaiprompt-engineeringpython

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