What is neuro-fuzzy?
Neuro-fuzzy is a term used to describe a type of artificial intelligence that combines elements of both neural networks and fuzzy logic.
Read moreby Stephen M. Walker II, Co-Founder / CEO
Here is a glossary of top Large Language Model (LLM) application programming frameworks:
OpenAI: OpenAI is an AI research lab that has developed several LLMs, including GPT-3 and ChatGPT. These models are capable of generating text, translating languages, and answering questions in an informative way.
ChatGPT: A specific LLM developed by OpenAI, designed for use in chatbots. It's trained on a massive dataset of text and code, enabling it to learn the patterns of human conversation and generate natural and engaging responses.
Bard: Bard is a family of LLMs developed by Google AI. They are designed to be used as a starting point for developing other AI models and are trained on massive datasets of text and code.
LangChain: An open-source orchestration framework designed to be easy to use and scalable. It provides a simple API, a distributed architecture, and features for managing LLMs such as load balancing, fault tolerance, and security.
LlamaIndex: A data framework for LLMs that provides tools to ingest, structure, and access private or domain-specific data. It can be used to connect LLMs to a variety of data sources, including APIs, PDFs, documents, and SQL databases.
vLLM: A framework for LLM inference and serving. It's one of the open-source libraries for LLM inference and serving.
Ray Serve: A framework considered for a stable pipeline and flexible deployment. It is best suited for more mature projects.
**MLC LLM: A universal deployment solution that enables LLMs to run efficiently on consumer devices, leveraging native hardware acceleration.
DeepSpeed-MII: A framework to use if you already have experience with the DeepSpeed library and wish to continue using it for deploying LLMs.
OpenLLM: A framework that supports connecting multiple adapters to only one deployed LLM. It allows the use of different implementations: Pytorch, Tensorflow, or Flax.
FlexGen: A tool for running large language models on a single GPU for throughput-oriented scenarios.
Flowise: A drag & drop UI to build your customized LLM flow using LangchainJS.
lanarky: A FastAPI framework to build production-grade LLM applications.
Xinference: A framework that gives you the freedom to use any LLM you need. It empowers you to run inference with any open-source language models, speech recognition models, and multimodal models.
Giskard: A testing framework dedicated to ML models, from tabular to LLMs.
Remember, the best framework for a particular application will depend on the specific requirements of that application.
Neuro-fuzzy is a term used to describe a type of artificial intelligence that combines elements of both neural networks and fuzzy logic.
Read moreThe principle of rationality is the idea that agents (like us humans) should make decisions that are in their best interests. In other words, we should try to be as rational as possible when making decisions.
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