Nicolay Gerold

To make life for developers easier, be explicit in what exactly is being returned. In the Stripe API, we have an object field in the response that makes it abundantly clear what we’re working with. For example, the API route

/v1/customers/:customer/payment_methods/:payment_method

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returns a PaymentMethod... See more

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def graphPrompt(input: str, metadata={}, model="mixtral:latest"):

if model == None:

model = "mixtral:latest"

chunk_id = metadata.get('chunk_id', None)

# model_info =... See more

The last core data stack tool is the orchestrator. It’s used quickly as a data orchestrator to model dependencies between tasks in complex heterogeneous cloud environments end-to-end. It is integrated with above-mentioned open data stack tools. They are especially effective if you have some glue code that needs to be run on a certain cadence,... See more

Analyze user queries and feedback to identify topic clusters, capabilities, and areas of user dissatisfaction. This will help you prioritize improvements.

Why should we do this? Let me give you an example. I once worked with a company that provided a technical documentation search system. By clustering user queries, we identified two main issues:

1. Top

... See more

Dify is an LLM application development platform that has helped built over 100,000 applications. It integrates BaaS and LLMOps, covering the essential tech stack for building generative AI-native applications, including a built-in RAG engine. Dify allows you to deploy your own version of Assistants API and GPTs, based on any LLMs.

Using our Cloud... See more

Vasopressin: suppresses urination made by the body. It causes water retention. It creates feelings of gitty love and can increases memory.

Hormone: substance secreted from one area of the body acting on other areas of the body.

Comments are helpful sometimes. But sometimes, they are just an indication of bad code.The proper use of comments is to compensate for our failure to express ourself in code [1].Whenever you have to add a comment in your code, ask yourself if it is really required or if you could instead put that into a new function and name the function so that it... See more

However development time, and maintenance can offset these savings. Hiring skilled data scientists, machine learning engineers, and DevOps professionals can be expensive and time consuming. Using available resources for “reimplementing” solutions hinder innovation and lead to a lack of focus. Since You not longer work on improving your model or... See more