Large Language Model Tools
The best Large Language Model Tools based on votes, our collection of reviews, verified products and a total of 68 factors.
Best Large Language Model Tools
- Open-Source Large Language Model Tools products
-
Filter by related categories:
-
Framework for building applications with LLMs through composability.
Key LangChain features:
Modular Design Integration with Various LLMs Advanced Prompt Management Chain Building
-
Build powerful web apps, and create your custom agentic AI apps, no code needed!
Key Momen features:
Real-time preview Momen AI Infinite canvas Custom components
-
The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
Key Hugging Face features:
Model Availability Ease of Use Community and Collaboration Documentation and Tutorials
-
Haystack is an open source NLP framework to build applications with Transformer models and LLMs.
Key Haystack NLP Framework features:
Open Source Modular Design Extensive Documentation Performance
-
Minigpt-4.
Key MiniGPT-4 features:
Reduced size Faster inference Cost-efficiency Ease of integration
-
An open source library for building AI-powered user interfaces.
Key Vercel AI SDK features:
Ease of Integration Speed and Performance Scalability Comprehensive Documentation
-
Use as is or customize foundation models from Amazon and other top providers to quickly develop generative AI applications through a serverless API service.
Key Amazon Bedrock features:
Scalability Integration Security Reliability
-
An open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease. - GitHub - bentoml/OpenLLM: An open platform for operating large...
Key OpenLLM features:
Ease of Integration Variety of Models Community Support Scalability
-
An LLM playground you can run on your laptop. Contribute to nat/openplayground development by creating an account on GitHub.
Key openplayground features:
Open Source Flexibility Community Support Rapid Development
-
Amazon Titan foundation models are pretrained on large datasets, making them powerful, general-purpose models.
Key Amazon Titan features:
Scalability Integration with AWS Advanced AI Capabilities Security
-
A collection of modules, tools, and libraries designed to aid and support researchers and developers with the creation of virtual human conversational characters.
Key Virtual Human Toolkit features:
Comprehensive Framework Integration Capabilities Open-Source Accessibility Community and Support
-
An open source library for deep learning end-to-end dialog systems and chatbots.
Key DeepPavlov features:
State-of-the-art NLP models Open-source Pre-trained models User-friendly interface
-
A Bulletproof Way to Generate Structured JSON from Language Models - GitHub - 1rgs/jsonformer: A Bulletproof Way to Generate Structured JSON from Language Models.
-
A multi-domain end-to-end dialog system platform.
Key ConvLab features:
Comprehensive Platform Modular Design Pre-built Pipelines Integration with Popular Frameworks