Search Results for author: Piero Molino

Found 19 papers, 12 papers with code

LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report

1 code implementation29 Apr 2024 Justin Zhao, Timothy Wang, Wael Abid, Geoffrey Angus, Arnav Garg, Jeffery Kinnison, Alex Sherstinsky, Piero Molino, Travis Addair, Devvret Rishi

LoRAX powers LoRA Land, a web application that hosts 25 LoRA fine-tuned Mistral-7B LLMs on a single NVIDIA A100 GPU with 80GB memory.

parameter-efficient fine-tuning

Witgenstein's influence on artificial intelligence

no code implementations3 Feb 2023 Piero Molino, Jacopo Tagliabue

We examine how much of the contemporary progress in artificial intelligence (and, specifically, in natural language processing), can be, more or less directly, traced back to the seminal work and ideas of the Austrian-British philosopher Ludwig Wittgenstein, with particular focus on his late views.

Personalized Benchmarking with the Ludwig Benchmarking Toolkit

2 code implementations8 Nov 2021 Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher Ré

LBT provides a configurable interface for controlling training and customizing evaluation, a standardized training framework for eliminating confounding variables, and support for multi-objective evaluation.

Benchmarking Hyperparameter Optimization +2

Declarative Machine Learning Systems

2 code implementations16 Jul 2021 Piero Molino, Christopher Ré

In this article we will describe how ML systems are currently structured, highlight important factors for their success and adoption, what are the issues current ML systems are facing and how the systems we developed addressed them.

BIG-bench Machine Learning

Joint Contextual Modeling for ASR Correction and Language Understanding

no code implementations28 Jan 2020 Yue Weng, Sai Sumanth Miryala, Chandra Khatri, Runze Wang, Huaixiu Zheng, Piero Molino, Mahdi Namazifar, Alexandros Papangelis, Hugh Williams, Franziska Bell, Gokhan Tur

As a baseline approach, we trained task-specific Statistical Language Models (SLM) and fine-tuned state-of-the-art Generalized Pre-training (GPT) Language Model to re-rank the n-best ASR hypotheses, followed by a model to identify the dialog act and slots.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Plato Dialogue System: A Flexible Conversational AI Research Platform

4 code implementations17 Jan 2020 Alexandros Papangelis, Mahdi Namazifar, Chandra Khatri, Yi-Chia Wang, Piero Molino, Gokhan Tur

Plato has been designed to be easy to understand and debug and is agnostic to the underlying learning frameworks that train each component.

Spoken Dialogue Systems

Ludwig: a type-based declarative deep learning toolbox

3 code implementations17 Sep 2019 Piero Molino, Yaroslav Dudin, Sai Sumanth Miryala

In this work we present Ludwig, a flexible, extensible and easy to use toolbox which allows users to train deep learning models and use them for obtaining predictions without writing code.

Decoder Deep Learning +15

Modeling Multi-Action Policy for Task-Oriented Dialogues

1 code implementation IJCNLP 2019 Lei Shu, Hu Xu, Bing Liu, Piero Molino

Dialogue management (DM) plays a key role in the quality of the interaction with the user in a task-oriented dialogue system.

Dialogue Management Management

Flexibly-Structured Model for Task-Oriented Dialogues

1 code implementation WS 2019 Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gokhan Tur

It is based on a simple and practical yet very effective sequence-to-sequence approach, where language understanding and state tracking tasks are modeled jointly with a structured copy-augmented sequential decoder and a multi-label decoder for each slot.

Decoder Task-Oriented Dialogue Systems +1

Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae

no code implementations ICLR 2019 Piero Molino, Yang Wang, Jiawei Zhang

Embeddings are a fundamental component of many modern machine learning and natural language processing models.

Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models

no code implementations1 Aug 2018 Jiawei Zhang, Yang Wang, Piero Molino, Lezhi Li, David S. Ebert

We present Manifold, a framework that utilizes visual analysis techniques to support interpretation, debugging, and comparison of machine learning models in a more transparent and interactive manner.

BIG-bench Machine Learning

An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

22 code implementations NeurIPS 2018 Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski

In this paper we show a striking counterexample to this intuition via the seemingly trivial coordinate transform problem, which simply requires learning a mapping between coordinates in (x, y) Cartesian space and one-hot pixel space.

Atari Games Image Classification +1

COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks

no code implementations3 Jul 2018 Piero Molino, Huaixiu Zheng, Yi-Chia Wang

For a company looking to provide delightful user experiences, it is of paramount importance to take care of any customer issues.

Answer Selection Classification +3

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