in the last day, write a short congratulations message on their recent sales    2. If no transaction in the last day, but they had a transaction in the last 30 days, playfully encourage them to sell more.    3. Always add a silly joke about chickens at the end        Here are the vendor's stats:    Number of Transactions Last Day: 657    Number of Transactions Last 30 Days: 20326        Your response:Use in a chain‚ÄãWe can now use this in a chain, successfully creating a chain that achieves personalization backed by the Tecton Feature Platform.from langchain.chat_models import ChatOpenAIfrom langchain.chains import LLMChainchain = LLMChain(llm=ChatOpenAI(), prompt=prompt_template)chain.run("user_469998441571")    'Wow, congratulations on your recent sales! Your business is really soaring like a chicken on a hot air balloon! Keep up the great work!'Featureform‚ÄãFinally, we will use Featureform, an open-source and enterprise-grade feature store, to run the same example. Featureform allows you to work with your infrastructure like Spark or locally to define your feature transformations.Initialize Featureform‚ÄãYou can follow in the instructions in the README to initialize your transformations and features in Featureform.import featureform as ffclient = ff.Client(host="demo.featureform.com")Prompts‚ÄãHere we will set up a custom FeatureformPromptTemplate. This prompt template will take in the average amount a user pays per transactions.Note that the input to this prompt template is just avg_transaction, since that is the only user defined piece (all other variables are looked up inside the prompt template).from langchain.prompts import PromptTemplate, StringPromptTemplatetemplate = """Given the amount a user spends on average per transaction, let them know if they are a high roller. Otherwise, make a silly joke about chickens at the end to make them feel betterHere are the user's stats:Average Amount per Transaction: ${avg_transcation}Your response:"""prompt =
Feature stores are a concept from traditional machine learning that make sure data fed into models is up-to-date and relevant. For more on this, see here.
Feature stores are a concept from traditional machine learning that make sure data fed into models is up-to-date and relevant. For more on this, see here. ->: in the last day, write a short congratulations message on their recent sales    2. If no transaction in the last day, but they had a transaction in the last 30 days, playfully encourage them to sell more.    3. Always add a silly joke about chickens at the end        Here are the vendor's stats:    Number of Transactions Last Day: 657    Number of Transactions Last 30 Days: 20326        Your response:Use in a chain‚ÄãWe can now use this in a chain, successfully creating a chain that achieves personalization backed by the Tecton Feature Platform.from langchain.chat_models import ChatOpenAIfrom langchain.chains import LLMChainchain = LLMChain(llm=ChatOpenAI(), prompt=prompt_template)chain.run("user_469998441571")    'Wow, congratulations on your recent sales! Your business is really soaring like a chicken on a hot air balloon! Keep up the great work!'Featureform‚ÄãFinally, we will use Featureform, an open-source and enterprise-grade feature store, to run the same example. Featureform allows you to work with your infrastructure like Spark or locally to define your feature transformations.Initialize Featureform‚ÄãYou can follow in the instructions in the README to initialize your transformations and features in Featureform.import featureform as ffclient = ff.Client(host="demo.featureform.com")Prompts‚ÄãHere we will set up a custom FeatureformPromptTemplate. This prompt template will take in the average amount a user pays per transactions.Note that the input to this prompt template is just avg_transaction, since that is the only user defined piece (all other variables are looked up inside the prompt template).from langchain.prompts import PromptTemplate, StringPromptTemplatetemplate = """Given the amount a user spends on average per transaction, let them know if they are a high roller. Otherwise, make a silly joke about chickens at the end to make them feel betterHere are the user's stats:Average Amount per Transaction: ${avg_transcation}Your response:"""prompt =