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Tutorial LLM

Ikuti kabar, teknik, dan sumber daya terbaru untuk Large Language Model. Tutorial kami penuh dengan panduan praktis langkah demi langkah dan use case yang dapat Anda gunakan untuk meningkatkan keterampilan.
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HumanEval: A Benchmark for Evaluating LLM Code Generation Capabilities

Learn how to evaluate your LLM on code generation capabilities with the Hugging Face Evaluate library.
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Abid Ali Awan

13 November 2024

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.
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Aashi Dutt

8 November 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.
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Dr Ana Rojo-Echeburúa

4 November 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.
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Abid Ali Awan

1 November 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.
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François Aubry

31 Oktober 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.
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François Aubry

29 Oktober 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.
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François Aubry

11 Oktober 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.
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Abid Ali Awan

10 Oktober 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.
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Bhavishya Pandit

10 Oktober 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.
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Abid Ali Awan

9 Oktober 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.
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Dimitri Didmanidze

9 Oktober 2024