Iñigo López-Riobóo Botana

ibotana

AI & ML interests

Senior NLP/ML Engineer at Newtral

Recent Activity

reacted to burtenshaw's post with 🔥 3 days ago
We’re launching a FREE and CERTIFIED course on Agents! We're thrilled to announce the launch of the Hugging Face Agents course on Learn! This interactive, certified course will guide you through building and deploying your own AI agents. Here's what you'll learn: - Understanding Agents: We'll break down the fundamentals of AI agents, showing you how they use LLMs to perceive their environment (observations), reason about it (thoughts), and take actions. Think of a smart assistant that can book appointments, answer emails, or even write code based on your instructions. - Building with Frameworks: You'll dive into popular agent frameworks like LangChain, LlamaIndex and smolagents. These tools provide the building blocks for creating complex agent behaviors. - Real-World Applications: See how agents are used in practice, from automating SQL queries to generating code and summarizing complex documents. - Certification: Earn a certification by completing the course modules, implementing a use case, and passing a benchmark assessment. This proves your skills in building and deploying AI agents. Audience This course is designed for anyone interested in the future of AI. Whether you're a developer, data scientist, or simply curious about AI, this course will equip you with the knowledge and skills to build your own intelligent agents. Enroll today and start building the next generation of AI agent applications! https://bit.ly/hf-learn-agents
upvoted a collection 7 days ago
NVILA
View all activity

Organizations

Newtral Media Audiovisual's profile picture Hackathon Somos NLP 2023: Los LLMs hablan Español's profile picture SomosNLP's profile picture

ibotana's activity

upvoted an article 4 days ago
view article
Article

TTS Arena: Benchmarking Text-to-Speech Models in the Wild

48
upvoted an article 15 days ago
upvoted an article 4 months ago
view article
Article

SetFit: Efficient Few-Shot Learning Without Prompts

22