llm

https://github.com/ray-project/llm-numbers
 https://github.com/mshumer/gpt-prompt-engineer
 
 https://js.langchain.com/docs/modules/data_connection/retrievers/how_to/self_query/

https://www.intercom.com/

https://github.com/ShumzZzZz/GPT-Rambling/blob/main/LangChain%20Specific/langchain_persist_conversation_memory.ipynb

from langchain.schema import messages_from_dict, messages_to_dict extracted_messages = original_chain.memory.chat_memory.messages

[HumanMessage(content='what do you know about Python in less than 10 words', additional_kwargs={}),
  AIMessage(content='Python is a high-level programming language.', additional_kwargs={})]

ingest_to_db = messages_to_dict(extracted_messages)

[{'type': 'human',
   'data': {'content': 'what do you know about Python in less than 10 words',
    'additional_kwargs': {}}},
  {'type': 'ai',
   'data': {'content': 'Python is a high-level programming language.',
    'additional_kwargs': {}}}]

retrieve_from_db = json.loads(json.dumps(ingest_to_db))

retrieved_messages = messages_from_dict(retrieve_from_db)

retrieved_chat_history = ChatMessageHistory(messages=retrieved_messages)

retrieved_memory = ConversationBufferMemory(chat_memory=retrieved_chat_history)

reloaded_chain = ConversationChain( llm=llm, verbose=True, memory=retrieved_memory ) reloaded_chain.run('what about Javascript and Ruby')

Charles Karpati | llm