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Tutorial AND Machine learning

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65 Documents

Getting started with Llama 2 - AI at Meta

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2023-10-28 A propos

LLM prompting guide

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2023-10-13 A propos

Finetuning LLaMa + Text-to-SQL

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2023-09-28 A propos

Jeremy Howard sur X : "I just uploaded a 90 minute tutorial, which is designed to be the one place I point coders at when they ask "hey, tell me everything I need to know about LLMs!"

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2023-09-24 A propos

Easily Finetune Llama 2 for Your Text-to-SQL Applications | by Jerry Liu | Aug, 2023

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2023-08-18 A propos

EMNLP 2022 Tutorial — “Modular and Parameter-Efficient Fine-Tuning for NLP Models” | by Oscar Shih | Jun, 2023 | Medium

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2023-08-08 A propos

Jerry Liu sur Twitter : "The new OpenAI Function API simplifies agent development by A LOT."

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2023-06-15 A propos

LangChain Tutorial: ChatGPT Over Your Data

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2023-06-06 A propos

building an AI-powered blog-analysis tool - Tools of the AI engineer - Softlandia

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2023-04-22 A propos

Transformers-Tutorials/LayoutLMv3 at master · NielsRogge/Transformers-Tutorials

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2023-01-17 A propos

[Tutorial] How to Train LayoutLM on a Custom Dataset with Hugging Face

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2023-01-09 A propos

LayoutLM Explained

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2022-12-21 A propos

Nils Reimers sur Twitter : "Creating intent classes for chatbots is challenging This tutorial shows how to use sentence-transformers to find potentially overlapping intent classes and how to improve your data annotation work." / Twitter

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2022-02-19 A propos

How to Fine-Tune Sentence-BERT for Question Answering | Capital One

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2021-11-21 A propos

James Briggs sur Twitter : *free* course on vector similarity search and Faiss..."

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2021-10-16 A propos

Transformer models - Hugging Face Course

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2021-06-15 A propos

Rodrigo Nogueira sur Twitter : "Slides of our WSDM 2021 tutorial "Pretrained Transformers for Text Ranking: BERT and Beyond"

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2021-03-09 A propos

[2010.05234] A Practical Guide to Graph Neural Networks

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2020-10-15 A propos

Which flavor of BERT should you use for your QA task? | by Olesya Bondarenko | Towards Data Science

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2020-10-04 A propos

BERT Word Embeddings Tutorial · Chris McCormick

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2020-07-06 A propos

My First NN Part 3. Multi-Layer Networks and Backpropagation | Scott H. Hawley (alt. blog via fastpages)

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2020-02-20 A propos

Your own blog with GitHub Pages and fast_template (4 part tutorial) · fast.ai

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2020-01-21 A propos

Joint Intent Classification and Slot Filling with Transformers (Jupyter Notebook Viewer)

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2020-01-09 A propos

Graph Neural Networks for Natural Language Processing tutorial at EMNLP 2019

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2019-11-08 A propos

[1812.05944] A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms and Experiments

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2019-06-18 A propos

Transfer Learning in Natural Language Processing - Google Slides

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2019-06-04 A propos

A Technique for Building NLP Classifiers Efficiently with Transfer Learning and Weak Supervision

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2019-05-22 A propos

Sebastian Ruder sur Twitter : "Besides the obvious things (ELMo, BERT, etc.), is there anything that we should definitely discuss at the NAACL "Transfer Learning in NLP" tutorial?"

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2019-05-20 A propos

Measuring patent claim breadth using Google Patents Public Datasets | Google Cloud Blog

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2019-02-21 A propos

What is torch.nn really? — PyTorch Tutorials 1.0.0

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2019-01-16 A propos

Neural Information Processing Systems - Tutorial Sessions: Unsupervised Deep Learning "predict everything"

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2018-12-06 A propos

Tutorial on Text Classification (NLP) using ULMFiT and fastai Library in Python - Analytics Vidhya

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2018-12-01 A propos

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2018-11-08 A propos

Joint Models in NLP - Slides - Tutorial (EMNLP 2018) - Yue Zhang

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**Joint models: solve 2 tasks at once.**

Related tasks: POS tagging, NER, chuncking. Pipeline tasks

Motivations:

- reduce error propagation
- information exchange between tasks

Challenges:

- Joint learning
- Search

History: statistical models. 2 kinds:

- Graph-Based Methods
    - Traditional solution:
        - Score each candidate, select the highest-scored output
        - Search-space typically exponential
- Transition-Based Methods
    - Transition-Based systems: Automata
        - State: partial result during decoding, Action: operations that can be applied for state transition
        - Output constructed incrementally

- Deep learning based model
    - Neural transition based models
    - Neural graph-based models
        - Cross task
            - Seminal work: Collobert, Ronan, et al. "Natural language processing (almost) from scratch."
            - Not all tasks are mutually beneficial
            - Ramachandran, et al.  “Unsupervised pretraining for sequence to sequence learning.”
            - Peters, Matthew E., et al. "Deep contextualized word representations." (ELMo)
            - "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding."
            - ULMFIT
            - Correlation between multi-task learning and pretraining
        - Cross lingual
        - Cross domain
        - Cross standard

2018-11-06 A propos

Cross-Lingual Word Representations: Induction and Evaluation (Tutorial EMNLP 2017)

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2018-11-05 A propos

Deep Latent-Variable Models for Natural Language - Tutorial - harvardnlp

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2018-11-01 A propos

Practical guide to text classification | Google Developers

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2018-07-23 A propos

SIGIR 2018 Tutorial - Knowledge Extraction and Inference from Text: Shallow, Deep, and Everything in Between

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2018-07-09 A propos

How To Create Natural Language Semantic Search For Arbitrary Objects With Deep Learning

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2018-06-02 A propos

Tutorial on Poincaré Embeddings (Jupyter Notebook )

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2018-05-20 A propos

How to use Dataset in TensorFlow – Towards Data Science

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2018-04-21 A propos

Part-of-Speech tagging tutorial with the Keras Deep Learning library - Cdiscount TechBlog

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2018-04-13 A propos

[1801.01586] A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines

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2018-01-09 A propos

Deep Learning: Practice and Trends (NIPS 2017 Tutorial, parts I & II) - YouTube

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2017-12-12 A propos

Multivariate Time Series Forecasting with LSTMs in Keras - Machine Learning Mastery

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2017-10-25 A propos

Recurrent neural networks and LSTM tutorial in Python and TensorFlow - Adventures in Machine Learning

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2017-10-23 A propos

A Word2Vec Keras tutorial

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2017-10-23 A propos

Using pre-trained word embeddings in a Keras model

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2017-10-23 A propos

A Beginner's Guide to Recurrent Networks and LSTMs - Deeplearning4j

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2017-10-22 A propos

What is the best tutorial on RNN, LSTM, BRNN, and BLSTM with visualization? - Quora

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2017-09-26 A propos

TensorFlow Neural Machine Translation (seq2seq) Tutorial

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2017-09-18 A propos

Neural networks and deep learning

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2017-09-12 A propos

Word2Vec Tutorial Part 2 - Negative Sampling · Chris McCormick

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2017-09-10 A propos

Word2Vec Tutorial - The Skip-Gram Model · Chris McCormick

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2017-09-10 A propos

Vector Representations of Words | TensorFlow

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2017-08-28 A propos

A Complete Tutorial on Tree Based Modeling from Scratch (in R & Python)

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2017-06-19 A propos

Recurrent Neural Networks with Word Embeddings — DeepLearning 0.1 documentation

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2017-06-16 A propos

Word2vec in gensim Tutorial | RaRe Technologies

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2017-06-01 A propos

A tutorial on hidden markov models in speech recognition applications

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2016-01-31 A propos

Simple end-to-end TensorFlow examples | Bcomposes

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2015-12-21 A propos

Using neural nets to recognize handwritten digits

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2015-12-20 A propos

Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs | WildML

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2015-11-08 A propos

Working With Text Data — scikit-learn documentation

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2015-10-21 A propos

Machine Learning Tutorial: The Max Entropy Text Classifier | DatumBox

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2014-04-08 A propos

Getting Started with Topic Modeling and MALLET

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2012-09-20 A propos