Comments (2)
Thanks
your new code worked smoothly.
from generative_ai_with_langchain.
Hi @theAfricanQuant
Thanks for posting this. This must have crept in during editing, sorry about that. I think there was supposed to be some other example about product information that I decided to leave out. This here works with the joke template:
from langchain.chains import LLMChain
input_list = [
{"topic": "socks"},
{"topic": "computers"},
{"topic": "shoes"}
]
LLMChain(
llm=OpenAI(model="gpt-3.5-turbo-instruct"),
prompt=PromptTemplate.from_template("Tell me a joke about {topic}!")
).generate(input_list)
The important part is to use the LLMChain
class instead of LangChain Expression Language.
Output:
LLMResult(generations=[[Generation(text='\n\nWhy was the sock sad?\n\nBecause it was feeling un-paired!', generation_info={'finish_reason': 'stop', 'logprobs': None})], [Generation(text='\n\nWhy did the computer go to the doctor?\n\nBecause it had a virus!', generation_info={'finish_reason': 'stop', 'logprobs': None})], [Generation(text='\n\nWhy did the shoe go to the doctor?\nBecause it was feeling a little sole.', generation_info={'finish_reason': 'stop', 'logprobs': None})]], llm_output={'token_usage': {'total_tokens': 70, 'completion_tokens': 49, 'prompt_tokens': 21}, 'model_name': 'gpt-3.5-turbo-instruct'}, run=[RunInfo(run_id=UUID('0c199ddc-0dc9-4ee1-a6fe-ef1f5ba55db1')), RunInfo(run_id=UUID('48ef6752-fe7e-494f-b4a2-6c7bc7170726')), RunInfo(run_id=UUID('196bae8a-6da3-4703-95dd-614b124e1444'))])
from generative_ai_with_langchain.
Related Issues (20)
- Replicate Example not working in Chapter 3 HOT 5
- can't build docker image HOT 1
- ResolvePackageNotFound of Readline and ncurses HOT 5
- LangChain: 1 validation error for LLMChain - value is not a valid dict (type=type_error.dict) HOT 3
- LLama.cpp model 3B is not available HOT 1
- from langchain.llms import FakeLLM in python throws an error HOT 4
- python_repl not found error HOT 9
- Pydantic format error HOT 3
- langchain[docarray] doesn't install HOT 2
- information_extraction/__init__.py all ways want a validator on BaseModel classes HOT 1
- ModuleNotFoundError: No module named 'chat_with_retrieval' in chat_with_documents.py HOT 7
- Hugging Face Transformers, code issue in Chapter 3 HOT 7
- AttributeError: module 'openai' has no attribute 'OpenAI' HOT 7
- No PythonREPLTool,no python_repl
- Issue with reading Resume HOT 2
- chapter 3 - Using Hugging Face HOT 1
- Conda and docker setups both fail HOT 2
- Summarizing texts : working alternative for ChatOpenAI HOT 2
- chat_with_retrieval not running HOT 1
- I am not able in create conda env using .yaml file. Here is the message - (base) admin_user@llm-vm:~$ conda env create --file langchain_ai.yaml --force Solving environment: failed ResolvePackageNotFound: -- I am using following Linux env - Description: Ubuntu 22.04.4 LTS Release: 22.04 Codename: jammy, anaconda version is 2023.09-0 HOT 1
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