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Technologies
Tutorías LLM
Mantente al día de las últimas noticias, técnicas y recursos para los Grandes Modelos Lingüísticos. Nuestros tutoriales están llenos de ejemplos prácticos y casos de uso que puedes utilizar para mejorar tus conocimientos.
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Speculative Decoding: A Guide With Implementation Examples
Learn what speculative decoding is, how it works, when to use it, and how to implement it using Gemma2 models.
Aashi Dutt
8 de noviembre de 2024
How to Use GPT-4o Audio Preview With LangChain and ChatOpenAI
Learn how to use OpenAI’s gpt-4o-audio-preview model with LangChain to build voice-enabled applications that include audio input, transcription, and generation.
Dr Ana Rojo-Echeburúa
4 de noviembre de 2024
Local AI with Docker, n8n, Qdrant, and Ollama
Learn how to build secure, local AI applications that protect your sensitive data using a low/no-code automation framework.
Abid Ali Awan
1 de noviembre de 2024
How to Run Llama 3.2 1B on an Android Phone With Torchchat
Get step-by-step instructions on how to set up and run Llama 3.2 1B on your Android device using the Torchchat framework.
François Aubry
31 de octubre de 2024
Runway Act-One Guide: I Filmed Myself to Test It
Learn how to use Runway Act-One through both the web interface and its API, and discover how to combine it with Runway Gen3-Alpha.
François Aubry
29 de octubre de 2024
How to Build User Interfaces For AI Applications Using Streamlit And LangChain
Learn to build AI chatbots with Streamlit, LangChain, and Neo4j. This tutorial covers creating UIs for LLM apps, implementing RAG, and deploying to Streamlit Cloud.
Bex Tuychiev
15 de octubre de 2024
OpenAI Realtime API: A Guide With Examples
Learn how to build real-time AI applications with OpenAI's Realtime API. This tutorial covers WebSockets, Node.js setup, text/audio messaging, function calling, and deploying a React voice assistant demo.
François Aubry
11 de octubre de 2024
Fine-Tuning Phi-3.5 on E-Commerce Classification Dataset
Discover Microsoft's new LLM series and boost your model's accuracy from 65% to 86% by fine-tuning it on the E-commerce classification dataset.
Abid Ali Awan
10 de octubre de 2024
Speculative RAG Implementation With Transformers
Learn Speculative RAG, a technique that improves RAG through a two-step drafting and verification process, and apply your skills with a hands-on implementation using Hugging Face Transformers.
Bhavishya Pandit
10 de octubre de 2024
Unsloth Guide: Optimize and Speed Up LLM Fine-Tuning
Fine-tuning the Llama 3.1 model to solve specialized algebra problems with high accuracy and detailed results using Unsloth.
Abid Ali Awan
9 de octubre de 2024
GPT-4o Vision Fine-Tuning: A Guide With Examples
Learn how to fine-tune GPT-4o with images by following this step-by-step tutorial, where you’ll discover how to improve GPT-4o’s ability to recognize Georgian churches.
Dimitri Didmanidze
9 de octubre de 2024
Llama 3.2 and Gradio Tutorial: Build a Multimodal Web App
Learn how to use the Llama 3.2 11B vision model with Gradio to create a multimodal web app that functions as a customer support assistant.
Aashi Dutt
9 de octubre de 2024