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Apprentice

G. A. 02

Large language models (LLMs) have transformed the way we approach machine learning and artificial intelligence. These models are incredibly powerful, but their true potential lies in their ability to work in harmony with other sources of data and computation. This library has been developed to assist developers in building applications that combine LLMs with other technologies, allowing them to create truly intelligent and innovative products.

LangChain

Stanford Alpaca is an open-source project that demonstrates the capabilities of an instruction-following LLaMA model. Developed by a team of researchers at Stanford University, Alpaca is designed to understand and execute tasks based on user instructions.

Alpaca

LLaMA (Large Language Model Meta AI) is a state-of-the-art foundational large language model designed to help researchers advance their work in the subfield of AI. It is available in multiple sizes (7B, 13B, 33B, and 65B parameters) and aims to democratize access to large language models by requiring less computing power and resources for training and deployment.

LLaMA

CAMEL stands for Communicative Agents for "Mind" Exploration of Large Scale Language Model Society. The purpose of this framework is to enhance the collaboration among AI chat agents to achieve tasks with minimal human involvement.

CAMEL

Stable Diffusion is a latent text-to-image diffusion model capable of generating stylized and photo-realistic images. It is pre-trained on a subset of of the LAION-5B dataset and the model can be run at home on a consumer grade graphics card so everyone can create stunning art within seconds.

Gil Adam@g_a_0261

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Sibabrata Biswal

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Ricardo Nader

Loïc Berthod