LLMCompiler
Models & InferenceWhat is LLMCompiler?
It is a framework that enables an efficient and effective orchestration of parallel function calling with LLMs, including both open-source and close-source models, by automatically identifying which tasks can be performed in parallel and which ones are interdependent.
LLMCompiler is a tool in the Models & Inference category of a tech stack.
Key Features
Efficient and effective orchestration of parallel function callingAllows to tackle more complex problemsDecomposing problems into multiple tasks that can be executed in parallel
LLMCompiler Pros & Cons
Pros of LLMCompiler
No pros listed yet.
Cons of LLMCompiler
No cons listed yet.
LLMCompiler Alternatives & Comparisons
What are some alternatives to LLMCompiler?
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.
