InTDS ArchivebyWenqi Glantz12 RAG Pain Points and Proposed SolutionsSolving the core challenges of Retrieval-Augmented GenerationJan 30, 202416Jan 30, 202416
InLlamaIndex BlogbyAndreiA Cheat Sheet and Some Recipes For Building Advanced RAGIt’s the start of a new year and perhaps you’re looking to break into the RAG scene by building your very first RAG system. Or, maybe…Jan 5, 20247Jan 5, 20247
InLlamaIndex BlogbyEmanuel FerreiraImproving RAG effectiveness with Retrieval-Augmented Dual Instruction Tuning (RA-DIT)In this blog post, we will explore RA-DIT capabilities to have better performance on Retrieval Augmentation Generation (RAG)Oct 18, 2023Oct 18, 2023
TeeTrackerChat with your PDF (Streamlit Demo)Conversation with specific filesSep 14, 2023Sep 14, 2023
InGoPenAIbyMastering LLM (Large Language Model)Mastering ReAct Prompting: A Crucial Step in LangChain Implementation — A Guided Example for AgentsDon’t rush into agent applications in LangChain. First, grasp the essence of ReAct Prompting with our guided example. Lay the foundation…Sep 16, 20231Sep 16, 20231
InTDS ArchivebyTDS EditorsThe Ins and Outs of Retrieval-Augmented Generation (RAG)Our weekly selection of must-read Editors’ Picks and original featuresOct 12, 2023Oct 12, 2023
InTowards AIbyDamian GilTalk to your documents as PDFs, txts, and even web pagesComplete guide to creating a web and the intelligence that allows you to ask questions to docs such as PDFs, TXTs, and even web pages using…Aug 24, 20236Aug 24, 20236
InTDS ArchivebyHeiko HotzRAG vs Finetuning — Which Is the Best Tool to Boost Your LLM Application?The definitive guide for choosing the right method for your use caseAug 24, 202330Aug 24, 202330
InTDS ArchivebyWilliam FalconPyTorch Lightning vs DeepSpeed vs FSDP vs FFCV vs …Learn how to mix the latest techniques for training models at scale using PyTorch Lightning.Mar 17, 2022Mar 17, 2022
InPyTorch Lightning Developer BlogbyPyTorch Lightning teamAccessible Multi-Billion Parameter Model Training with PyTorch Lightning + DeepSpeedHow to use PyTorch Lighting and Deep Speed to train Multi Billion Parameter models with less than three lines of addtional code.Mar 30, 20216Mar 30, 20216
InPyTorchbyPyTorch Lightning teamPyTorch Lightning V1.2.0- DeepSpeed, Pruning, Quantization, SWAIncluding new integrations with DeepSpeed, PyTorch profiler, Pruning, Quantization, SWA, PyTorch Geometric and more.Feb 19, 20211Feb 19, 20211
InMicrosoft AzurebyYufeng LiFaster and smaller quantized NLP with Hugging Face and ONNX RuntimePopular Hugging Face Transformer models (BERT, GPT-2, etc) can be shrunk and accelerated with ONNX Runtime quantization without retraining.Aug 31, 20202Aug 31, 20202
InMicrosoft AzurebyYufeng LiFaster and smaller quantized NLP with Hugging Face and ONNX RuntimePopular Hugging Face Transformer models (BERT, GPT-2, etc) can be shrunk and accelerated with ONNX Runtime quantization without retraining.Aug 31, 20202Aug 31, 20202
InTDS ArchivebyAndrej BaranovskijZero-Shot Text Classification with Hugging FaceThis post is about detecting text sentiment in an unsupervised way, using Hugging Face zero-shot text classification model.Aug 20, 20202Aug 20, 20202
InTDS ArchivebyAkash DesardaWorking with Hugging Face Transformers and TF 2.0Models based on Transformers are the current sensation in the world of NLP. Hugging Face’s Transformers library provides all SOTA model…Apr 24, 20208Apr 24, 20208
InTDS ArchivebyOrhan G. YalçınSentiment Analysis in 10 Minutes with BERT and Hugging FaceLearn the basics of the pre-trained NLP model, BERT, and build a sentiment classifier using the IMDB movie reviews dataset, TensorFlow…Nov 28, 202013Nov 28, 202013
InTDS ArchivebyArun MaiyaText Classification with Hugging Face Transformers in TensorFlow 2 (Without Tears)The Hugging Face transformers package is an immensely popular Python library providing pretrained models that are extraordinarily useful…Jan 14, 20208Jan 14, 20208
InMicrosoft AzurebyTianlei WuAccelerate your NLP pipelines using Hugging Face Transformers and ONNX RuntimeThis post was written by Morgan Funtowicz from Hugging Face and Tianlei Wu from MicrosoftMay 19, 202011May 19, 202011
InTDS ArchivebyMichaël BenestyHugging Face Transformer Inference Under 1 Millisecond LatencyGo to production with Microsoft and Nvidia open source toolingNov 5, 202117Nov 5, 202117