Personalize your generative AI applications with Amazon SageMaker Feature Store | Amazon Web Services
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Personalize your generative AI applications with Amazon SageMaker Feature Store | Amazon Web Services
maintain the Transformers Python library, which is used for NLP tasks, includes implementations of state-of-the-art and popular models like Mistral 7B, BERT, and GPT-2, and is compatible with PyTorch, TensorFlow, and JAX.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
Building production-ready LLM-powered applications is currently very difficult. It involves countless iterations of prompt engineering, parameter tuning, and architectures.... See more
Agenta provides you with the tools to quickly do prompt engineering and 🧪 experiment , ⚖️ evaluate , and 🚀 deploy your LLM apps. All without imposing any restrictions on your
Testing framework for LLM Part
Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
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SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with LLMs faster and more controllable by co-designing the frontend language and the runtime system.
The core features of SGLang include:
The core features of SGLang include:
- A Flexible Front-End Language : This allows for easy programming of LLM applications with multiple ch