Artificial Intelligence

Vector databases are key to optimizing the performance of large language models (LLMs) in AI, improving semantic search, recommendations, and personalized responses.

This article explores how Rasa, an AI-based conversational platform, and Diet, an optimized training model, improve the automation and personalization of interactions through a greater understanding of natural language.

QLoRA and LoRA optimize the use of large language models (LLM) by efficiently adjusting their memory and resources, reducing costs and improving computational efficiency through techniques such as matrix decomposition.

Nous-Hermes is an advanced series of language models based on Llama, notable for accurate responses, low hallucination rate and no censorship, trained on DGX 8x A100 machines with GPT-4 data.

Falcon 40B, with 40 billion parameters, excels in translation and question answering. Available free of charge for research and commercial use, it drives global innovation in AI.

The European Union's AI Regulation, adopted in June 2024, establishes key rules for the ethical and safe development of artificial intelligence. It aims to protect users' rights, ensure transparency and security, and classify systems according to their risk.