LLMFlows
Models & InferenceWhat is LLMFlows?
It is a framework for building simple, explicit, and transparent LLM (Large Language Model) applications such as chatbots, question-answering systems, and agents.
LLMFlows is a tool in the Models & Inference category of a tech stack.
Key Features
Utilize LLMs such as OpenAI's ChatGPT to generate natural language textConfigure LLM classes easily, choosing specific models, parameters, and settingsCreate dynamic prompts using Prompt TemplatesVectorStore Integrations
LLMFlows Pros & Cons
Pros of LLMFlows
No pros listed yet.
Cons of LLMFlows
No cons listed yet.
LLMFlows Alternatives & Comparisons
What are some alternatives to LLMFlows?
OpenAI
Creating safe artificial general intelligence that benefits all of humanity. Our work to create safe and beneficial AI requires a deep understanding of the potential risks and benefits, as well as careful consideration of the impact.
LangChain
It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.
ChatGPT
It is a trained model which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.
