├── .gitignore ├── GenAI_OpenAI_LangChain ├── 1. OpenAI_API_Initial_Setup │ └── OpenAI API Initial Setup.ipynb ├── 10. AI_Agent_with_LangChain │ └── AI Agent using LangChain.ipynb ├── 11. Fine-tuning_OpenAI_GPT_models │ ├── Fine-tuning OpenAI GPT models.ipynb │ └── chatbot_personality.jsonl ├── 2. OpenAI_Using_LangChain_Initial_Setup │ └── OpenAI Using LangChain Initial Setup.ipynb ├── 3. OpenAI_Tokenizer_Using_Tiktoken │ └── OpenAI Tokenizer Using Tiktoken.ipynb ├── 4. Actionable_review_insights_openai │ └── OpenAI SDK - Actionable insights from reviews.ipynb ├── 5. Actionable_review_insights_langchain │ └── LangChain OpenAI - Actionable insights from reviews.ipynb ├── 6. Chatbot_using_OpenAI_SDK │ └── Chatbot using OpenAI SDK.ipynb ├── 7. Chatbot_using_LangChain │ ├── Chatbot using LangChain Part 1 - ChatPromptTemplate & MessagesPlaceholder.ipynb │ ├── Chatbot using LangChain Part 2 - LCEL.ipynb │ ├── Chatbot using LangChain Part 3 - ChatMessageHistory.ipynb │ ├── Chatbot using LangChain Part 4 - RunnableWithMessageHistory.ipynb │ └── Chatbot using LangChain Part 5 - trim_messages.ipynb ├── 8. AI_Agent_from_Scratch │ └── AI Agent with GPT-4o.ipynb └── 9. AI_Agent_with_Tool_Calling │ └── AI Agent with Tool Calling using GPT-4o.ipynb ├── General_NLP ├── N-gram_Language_Modeling │ ├── N-gram Language Modeling.ipynb │ └── N-gram Language Modeling.pdf └── Spell_Correction_Levenshtein_Distance │ └── Spell Correction with Levenshtein Distance.ipynb ├── LICENSE ├── LLM_Series ├── Deploying_LLMs │ ├── gen_ai_helper.py │ ├── gen_ai_server.py │ └── gen_ai_server_vllm.py ├── Llama-2_Finetuning │ ├── llama-2-finetuning-problem-need.ipynb │ ├── llama-2_finetuning.ipynb │ └── outputs │ │ ├── README.md │ │ ├── adapter_config.json │ │ └── adapter_model.safetensors ├── Llama_2_vs_Llama_2_Chat │ └── Llama_2_vs_Llama_2_Chat.ipynb ├── Prompt_Engineering │ └── prompt_engineering.ipynb ├── RAG_with_Llama-2 │ ├── RAG with Llama-2 model.ipynb │ └── llama-2 paper.pdf ├── Runnung_Llama_2_7b_locally │ └── Llama_2_7b_local.ipynb └── Semantic_Retrieval │ └── semantic_retrieval.ipynb ├── LangGraph ├── 1. Basic Graph in LangGraph.ipynb ├── 2. Parallel Agents Graph Example.ipynb ├── 3. Conditions and Loops in Graphs.ipynb └── 4. Agent Handoff.ipynb ├── Projects ├── Client_Side_Tool_Calling_With_OpenAI_Realtime_API │ ├── .env.sample │ ├── README.md │ ├── app.py │ ├── html_display_code.txt │ └── utils.py ├── Deep_Research │ ├── .env.sample │ ├── README.md │ ├── graph.png │ ├── langgraph_workflow.py │ ├── main.py │ ├── prompts.py │ └── utils.py ├── Fine_tuning_DeepSeek_R1_Distill_Qwen_1.5B_for_ReAct │ ├── README.md │ ├── ReAct_DeepSeek_Training.ipynb │ ├── ReAct_Model_Export.ipynb │ ├── react_dataset.jsonl │ └── react_model │ │ ├── README.md │ │ ├── adapter_config.json │ │ ├── adapter_model.safetensors │ │ ├── special_tokens_map.json │ │ ├── tokenizer.json │ │ └── tokenizer_config.json ├── MCP_Client_Using_OpenAI │ ├── .env.sample │ ├── README.md │ ├── main.py │ └── mcp_client.py ├── MCP_Server_and_Client │ ├── README.md │ ├── mcp_client.py │ └── mcp_server.py ├── Multi_AI_Agent_For_Property_Marketing_Blog │ ├── Marketing Blog from Property Listing.ipynb │ └── README.md └── Querying_Multiple_Unstructured_Documents │ ├── .env.sample │ ├── README.md │ ├── main.py │ ├── prompts.py │ └── utils.py └── README.md /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/oppasource/Learn-With-Yash-Agrawal/HEAD/.gitignore -------------------------------------------------------------------------------- /GenAI_OpenAI_LangChain/1. 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