The New Skill in AI is Not Prompting, It's Context Engineering
Context Engineering is the new skill in AI. It is about providing the right information and tools, in the right format, at the right time.| www.philschmid.de
Context Engineering is the new skill in AI. It is about providing the right information and tools, in the right format, at the right time.| www.philschmid.de
Reproduce Deepseek R1 „aha moment“ and train an open model using reinforcement learning trying to teach it self-verification and search abilities all on its own to solve the Countdown Game.| www.philschmid.de
In this blog post you will learn how to evaluate LLMs using Hugging Face lighteval on Amazon SageMaker.| www.philschmid.de
In this blog post you will learn how to fine-tune LLMs using Hugging Face TRL, Transformers and Datasets in 2024. We will fine-tune a LLM on a text to SQL dataset.| www.philschmid.de
Learn how to evaluate LLMs and RAG pipelines using Langchain and Hugging Face| www.philschmid.de
Learn how to quickly set up an AWS Trainium using the Hugging Face Neuron Deep Learning AMI and fine-tune BERT| www.philschmid.de
Learn how to setup a Deep Learning Environment for Hugging Face Transformers with Habana Gaudi on AWS using the DL1 instance type.| www.philschmid.de
Learn how to deploy Llama 2 models (7B - 70B) to Amazon SageMaker using the Hugging Face LLM Inference DLC.| www.philschmid.de
Learn how to deploy Falcon 40B to Amazon SageMaker using the new Hugging Face LLM Inference DLC.| www.philschmid.de
Learn how to get started with Pytorch 2.0 and Hugging Face Transformers and reduce your training time up to 2x.| www.philschmid.de
Welcome to this tutorial on how to create a custom inference handler for Hugging Face Inference Endpoints.| www.philschmid.de
Learn how to Sentence Transformers model with TensorFlow and Keras for creating document embeddings| www.philschmid.de
Learn how to optimize Hugging Face Transformers models for NVIDIA GPUs using Optimum. You will learn how to optimize a DistilBERT for ONNX Runtime| www.philschmid.de
Learn how to optimize Hugging Face Transformers models using Optimum. The session will show you how to dynamically quantize and optimize a DistilBERT model using Hugging Face Optimum and ONNX Runtime. Hugging Face Optimum is an extension of 🤗 Transformers, providing a set of performance optimization tools enabling maximum efficiency to train and run models on targeted hardware.| www.philschmid.de
Introduction guide about ONNX and Transformers. Learn how to convert transformers like BERT to ONNX and what you can do with it.| www.philschmid.de
Learn how to fine-tune Google's FLAN-T5 for chat & dialogue summarization using Hugging Face Transformers.| www.philschmid.de
