Inteligencias creadas por y para humanos. Computer Vision + Inteligencia Artificial + Inteligencia Artificial Generativa. ¿Sabes por dónde empezar? Te ayudamos.
New short course with @MistralAI !
Mistral's open-source Mixtral 8x7B model uses a "mixture of experts" (MoE) architecture. Unlike a standard transformer, an MoE model has multiple expert feed-forward networks (8 in this case), with a gating network selecting two experts at inference time. This enables MoE to match the performance of a large model but faster inference. Mixtral 8x7B has 46.7B parameters but activates only 12.9B at inference to predict the next token.
In Getting Started with Mistral, you’ll learn from Mistral’s @sophiamyang to:
- Explore Mistral's open-source models (Mistral 7B, Mixtral 8x7B) and commercial models via API calls and Mistral AI's Le Chat website
- Implement JSON mode to generate structured outputs to integrate directly into larger software systems.
- Use function calling for Tool Use, such as calling custom Python code that queries tabular data
- Ground your LLM's response with external knowledge sources using RAG
- Build a Mistral-powered chat interface that can reference external documents
This course will help deepen your prompt engineering skills. Please sign up here: https://t.co/weYwGmPlLA
¿Conoces nuestras Dive Data Sessions? Directos que convertimos en un podcast. Compartimos inquietudes con profesionales del mundo del dato y de la inteligencia artificial. El primero fue @pelayoarbues. El último episodio con @pedromolleda. #podcast#data
https://t.co/11z0j7IqiZ
🚀El Futuro de la Inteligencia Artificial. Ponencia que José Luis Flórez, CEO de Dive, ofreció en la entrega de los Premios Innova - AsturiasInnova+ en el que traslada su visión sobre el momento de transformación que vivimos. #InteligenciaArtificial#IA🤖
https://t.co/vBtcBOJI2L