Data Science Current

Understanding the Power of Feedback Analytics

insideBIGDATA

NOVEMBER 3, 2023

In this contributed article, Ryan Stuart is the co-founder and CEO of Kapiche, discusses feedback analytics and how it is a means to unlock deeper customer insights, with five concrete examples of how to use feedback analytics to drive innovation and growth.

Analytics

Analytics Analytics Big Data Big Data

Microsoft’s AllHands Aims to Transform Feedback Analysis

Analytics Vidhya

MARCH 27, 2024

Introduction Today, user feedback is invaluable for developers and companies aiming to refine their products and services. The ability to sift through vast amounts of user-generated feedback efficiently and effectively is crucial for driving innovation and meeting user needs.

Analytics

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Understanding Reinforcement Learning from Human Feedback

Analytics Vidhya

MAY 23, 2023

Reinforcement Learning from Human Feedback (RLHF) is where machines learn and grow with a little help from their humans! In this article, we dive into the exciting world of RLHF, where machines […] The post Understanding Reinforcement Learning from Human Feedback appeared first on Analytics Vidhya.

Machine Learning

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Enhancing Customer Surveys Feedback Analysis with Large Language Models

Analytics Vidhya

SEPTEMBER 25, 2023

Introduction Welcome to the world of customer feedback analysis, where the unmined wealth of customer opinions can shape your business’s triumph. In today’s cutthroat competition and with large language models, comprehending customer thoughts is no longer a luxury but a necessity.

Analytics

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order.

Data Science

Starling-7B: LLM with Reinforcement Learning from AI Feedback

Analytics Vidhya

DECEMBER 5, 2023

The research team at UC Berkeley introduces Starling-7B, an open-source large language model (LLM) that employs Reinforcement Learning from AI Feedback (RLAIF).

AI

AI AI Analytics Analytics

Microsoft Introduce AllHands: LLM Framework for Large-Scale Feedback Analysis

Analytics Vidhya

MARCH 25, 2024

Traditionally, analyzing large volumes of user feedback, often presented as open-ended text (verbatim feedback), has been a cumbersome task. Existing methods rely heavily on human labeling of data to train machine learning models.

Machine Learning

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Enhancing Reinforcement Learning with Human Feedback using OpenAI and TensorFlow

Analytics Vidhya

MAY 23, 2023

Reinforcement Learning from Human Feedback (RLHF) is a promising strategy for achieving this alignment. This article will provide an overview […] The post Enhancing Reinforcement Learning with Human Feedback using OpenAI and TensorFlow appeared first on Analytics Vidhya. It allows AI systems to learn from human supervision.

Artificial Intelligence

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Understanding Linear Feedback Shift Registers in FPGAs

Hacker News

APRIL 3, 2024

As a follow on from last week, one of the techniques I like to use to stimulate or capture data in our FPGA designs is a Linear Feedback Shift Register (LFSR). In the ten-plus years of this blog, I have never talked much about LFSRs, so I am going to focus this blog on exploring them as they are helpful for our FPGA designs.

Google DeepMind Alignment with Online AI Feedback (OAIF)

Hacker News

FEBRUARY 7, 2024

Direct alignment from preferences (DAP) methods, such as DPO, have recently emerged as efficient alternatives to reinforcement learning from human feedback (RLHF), that do not require a separate reward model. In this study, we posit that online feedback is key and improves DAP methods.

AI

AI AI

Never struggle to give feedback again

Hacker News

APRIL 21, 2024

7 simple steps to tackle any feedback situation

An End-to-End Guide on Reinforcement Learning with Human Feedback

Analytics Vidhya

MAY 30, 2023

But do you know the success of ChatGPT is much because of the implementation of this concept of using Human Feedback on Reinforcement Learning? So in today’s blog, we will look […] The post An End-to-End Guide on Reinforcement Learning with Human Feedback appeared first on Analytics Vidhya.

Analytics

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Fine-Grained Human Feedback

databricks

FEBRUARY 27, 2024

In this blog post, we discuss Fine-Grained RLHF, a framework that enables training and learning from reward functions that are fine-grained in two.

AI

AI AI

Analyzing customer feedbacks using Aspect Based Sentiment Analysis

Analytics Vidhya

JUNE 14, 2021

The post Analyzing customer feedbacks using Aspect Based Sentiment Analysis appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction With the advancement in technology, the growth of social.

Data Science

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360 Feedback Software: Improving team collaboration and communication

Dataconomy

OCTOBER 26, 2023

To empower teams and foster a culture, many organizations are embracing 360 feedback software. What is 360 Feedback Software? 360 Feedback Software is a tool that enables individuals to gather feedback from various sources, including peers, subordinates, supervisors, and even customers.

Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering

AWS Machine Learning Blog

APRIL 24, 2024

The Amazon D&C team implemented the solution in a pilot for Amazon engineers and collected user feedback. In this post, we share how we analyzed the feedback data and identified limitations of accuracy and hallucinations RAG provided, and used the human evaluation score to train the model through reinforcement learning.

AI

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HaptX gloves provide high-fidelity touch feedback of virtual spaces

Hacker News

JANUARY 19, 2024

HaptX's new technology uses tactile and force feedback to allow people to "feel" virtual objects with high fidelity.

How To Build Your Own Feedback Analysis Solution

KDnuggets

MARCH 12, 2020

Automating the analysis of customer feedback will sound like a great idea after reading a couple hundred reviews. Building an NLP solution to provide in-depth analysis of what your customers are thinking is a serious undertaking, and this guide helps you scope out the entire project.

Analytics

Analytics Analytics

Treat your CI system as a product for faster and better feedback

Hacker News

JULY 26, 2023

Improving the feedback time of a continuous integration (CI) system and optimizing the test methods and classes resulted in more effective feedback for development teams. CI systems are an important part of the development process and should be treated as such.

? Using Visualization Feedback

FlowingData

NOVEMBER 10, 2022

This week I’m thinking about the process of taking in this visualization feedback to improve towards where you want to go. I make charts and put them on the internet, which means sometimes I get comments about how a visualization method is better than another or, if I’m lucky, how terrible something is.

Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out

Machine Learning Research at Apple

MARCH 30, 2023

This paper identifies and quantifies the feedback effect, a novel component in IA-user interactions: how the capabilities and limitations of the IA influence user behavior over time. With the growing popularity of intelligent assistants (IAs), evaluating IA quality becomes an increasingly active field of research.

Reinforcement Learning from Human Feedback (RLHF)

Towards AI

OCTOBER 31, 2023

Reinforcement Learning from Human Feedback (RLHF) has been successfully applied in ChatGPT, hence its major increase in popularity. We will focus on text-to-text language models U+1F4DD, such as GPT-3, BLOOM, and T5. Models like BERT, which are encoder-only, are not addressed. This blog post is an adaptation of the gist from the same author.

Algorithm

Algorithm AI AI Artificial Intelligence

Building better enterprise AI: incorporating expert feedback in system development

Snorkel AI

JANUARY 30, 2024

My talk focussed on the importance of understanding the larger ecosystem in which large language models (LLMs) exist and how fine-tuning all system components with expert feedback can improve application performance. The role of expert feedback in AI development Expert feedback has always been a vital component of valuable AI systems.

AI

AI AI Algorithm Data Scientist

Building better enterprise AI: incorporating expert feedback in system development

Snorkel AI

JANUARY 30, 2024

My talk focussed on the importance of understanding the larger ecosystem in which large language models (LLMs) exist and how fine-tuning all system components with expert feedback can improve application performance. The role of expert feedback in AI development Expert feedback has always been a vital component of valuable AI systems.

AI

AI AI Algorithm Data Scientist

How to Improve Data Quality by Using Feedback Loops

Dataversity

FEBRUARY 10, 2021

In this blog, we will take a look at: The impact poor Data Quality has on organizations and practical advice for how to overcome this challenge through the use of feedback loops. The post How to Improve Data Quality by Using Feedback Loops appeared first on DATAVERSITY. Poor Data Quality can cost organizations millions each year.

Data Quality

Data Quality Data Governance

Embrace Complexity; Tighten Your Feedback Loops

Hacker News

JULY 22, 2023

Talk transcript on various patterns that slowly influence how teams deal with reliability, and highlight some of the key interactions and behaviors I keep finding work well in the organizations I've been part of.

ReST meets ReACT: improving ReAct with Self-Critique, AI Feedback, and Synthetic Data Generation.

Towards AI

DECEMBER 29, 2023

The paper focuses on improving the agent’s performance and robustness through self-critique, AI feedback, and synthetic data generation. Reflexion presents an innovative approach to reinforcement learning for language agents, relying on linguistic feedback and reflective text in an episodic memory buffer. in 2023 [5].

AI

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How to collect free-text feedback: an introduction for a data scientist

Towards AI

JULY 18, 2023

Photo by Emily Morter from Unsplash To truly understand the type of measurement framework to implement for how to solicit feedback is to also humbly acknowledge as a data scientist the shortcomings and imprecise capabilities of natural language processing and machine learning. Control +F the number of times I mentioned “primary source.”

Data Scientist

Data Scientist Natural Language Processing Machine Learning Machine Learning

Improve multi-hop reasoning in LLMs by learning from rich human feedback

AWS Machine Learning Blog

APRIL 27, 2023

In this post, we show how to incorporate human feedback on the incorrect reasoning chains for multi-hop reasoning to improve performance on these tasks. Those confident but nonsensical explanations are even more prevalent when LLMs are trained using Reinforcement Learning from Human Feedback (RLHF), where reward hacking may occur.

Machine Learning

Machine Learning Machine Learning Natural Language Processing Algorithm

How we engineer feedback at Figma with eng crits

Hacker News

MARCH 11, 2024

A behind the scenes look at engineering crits at Figma.

Advanced Reinforcement Learning with Human Feedback Tutorial for an NLP Task

Mlearning.ai

JULY 21, 2023

Reinforcement learning with human feedback (RLHF) is an effective method for improving machine learning models. This method is especially… Continue reading on MLearning.ai »

Machine Learning

Machine Learning Machine Learning ML ML

Fine-tune Llama 3 using Direct Preference Optimization

Analytics Vidhya

MAY 2, 2024

To improve performance, algorithms like Reinforcement Learning with Human Feedback and Direct Preference Optimization (DPO) can be used. Introduction Large Language Models have revolutionized productivity by enabling tasks like Q&A, dynamic code generation, and agentic systems.

Algorithm

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Google’s TransformerFAM: A Breakthrough in Long-Context Processing

Analytics Vidhya

APRIL 22, 2024

By integrating a feedback loop mechanism, TransformerFAM promises to enhance the network’s ability to handle infinitely long sequences. Google researchers have unveiled TransformerFAM, a novel architecture set to revolutionize long-context processing in large language models (LLMs).

Analytics

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How to Apply Crocker's Law for Feedback and Growth

Eugene Yan

MAY 30, 2020

Crocker's Law, cognitive dissonance, and how to receive (uncomfortable) feedback better.

Mastering Sentiment Analysis through Generative AI

Analytics Vidhya

SEPTEMBER 27, 2023

Introduction Sentiment analysis has revolutionized the way companies understand and respond to customer feedback. Customer sentiment analysis analyzes customer feedback, such as product reviews, chat transcripts, emails, and call center interactions, to categorize customers into happy, neutral, or unhappy.

AI

AI AI Analytics Analytics

User Complained GPT-4 Being Lazy: OpenAI Acknowledges

Analytics Vidhya

DECEMBER 11, 2023

” In a recent acknowledgment, OpenAI addresses the feedback and sheds light on the challenges encountered with the latest iteration of its renowned chatbot. OpenAI finds itself amid user concerns as GPT-4 exhibits unexpected behavior, described by some as “lazy.”

Analytics

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Show HN: I've updated my food delivery repo. Feedback Welcome

Hacker News

JANUARY 8, 2024

Enatega is a fully realized and customizable food delivery application that can be used to set up your own order/delivery management system. For more information, visit the Enatega product page: ????

RLHF For High-Performance Decision-Making: Strategies and Optimization

Analytics Vidhya

SEPTEMBER 11, 2023

Introduction Reinforcement Learning from Human Factors/feedback (RLHF) is an emerging field that combines the principles of RL plus human feedback. It will be engineered to optimize decision-making and enhance performance in real-world complex systems.

Analytics

Analytics Analytics Machine Learning Machine Learning

Hindsight PRIORs for Reward Learning from Human Preferences

Machine Learning Research at Apple

APRIL 15, 2024

Preference based Reinforcement Learning (PbRL) has shown great promise in learning from human preference binary feedback on agent's trajectory behaviors, where one of the major goals is to reduce the number of queried human feedback.

UC Berkeley Unveils an Open LLM Starling-7B Trained Using Reinforcement Learning from AI Feedback

ODSC - Open Data Science

DECEMBER 13, 2023

In a new report , UC Berkeley researchers have introduced Starling-7B, a revolutionary large language model crafted using Reinforcement Learning from AI Feedback or RLAIF. Researchers hope that this model will help to redefine the landscape of natural language processing, incorporating cutting-edge technologies and methodologies.

Natural Language Processing

Natural Language Processing Data Science AI AI

Honest Feedback on a Wallpen Vertical Printer

Hacker News

JANUARY 21, 2024

Comments (..)

The AI feedback loop: Researchers warn of ‘model collapse’ as AI trains on AI-generated content

Flipboard

JUNE 12, 2023

The age of generative AI is here: only six months after OpenAI‘s ChatGPT burst onto the scene, as many of half the employees of some leading global companies are already using this type of technology in their workflows, and many other companies are rushing to offer new products with generative AI …

AI

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Teachers Ask Better Questions With Feedback That’s Frequent, Personal, and AI-Generated, Study Shows

Flipboard

DECEMBER 8, 2023

It’s been a year since ChatGPT stormed into classrooms. Its most common users have been students looking for homework aid—or shortcuts—and teachers …

AI

AI AI Machine Learning Machine Learning

AI feedback loop will spell death for future generative models

Flipboard

JUNE 14, 2023

In the grim dark future of the internet when the global network will be filled with AI-generated data, LLMs will essentially be unable to progress further. Instead, they'll go back to their original state, forgetting previously acquired, human-made content and throwing out only garbled piles of bits for maximum unreliability. Read Entire Article

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Understanding the Power of Feedback Analytics

Microsoft’s AllHands Aims to Transform Feedback Analysis

Webinars

Trending Sources

Understanding Reinforcement Learning from Human Feedback

Webinars

Enhancing Customer Surveys Feedback Analysis with Large Language Models

LLMs in Production: Tooling, Process, and Team Structure

Starling-7B: LLM with Reinforcement Learning from AI Feedback

Microsoft Introduce AllHands: LLM Framework for Large-Scale Feedback Analysis

Enhancing Reinforcement Learning with Human Feedback using OpenAI and TensorFlow

Understanding Linear Feedback Shift Registers in FPGAs

Google DeepMind Alignment with Online AI Feedback (OAIF)

Never struggle to give feedback again

An End-to-End Guide on Reinforcement Learning with Human Feedback

Fine-Grained Human Feedback

Analyzing customer feedbacks using Aspect Based Sentiment Analysis

360 Feedback Software: Improving team collaboration and communication

Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering

HaptX gloves provide high-fidelity touch feedback of virtual spaces

How To Build Your Own Feedback Analysis Solution

Treat your CI system as a product for faster and better feedback

? Using Visualization Feedback

Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out

Reinforcement Learning from Human Feedback (RLHF)

Building better enterprise AI: incorporating expert feedback in system development

Building better enterprise AI: incorporating expert feedback in system development

How to Improve Data Quality by Using Feedback Loops

Embrace Complexity; Tighten Your Feedback Loops

ReST meets ReACT: improving ReAct with Self-Critique, AI Feedback, and Synthetic Data Generation.

How to collect free-text feedback: an introduction for a data scientist

Improve multi-hop reasoning in LLMs by learning from rich human feedback

How we engineer feedback at Figma with eng crits

Advanced Reinforcement Learning with Human Feedback Tutorial for an NLP Task

Fine-tune Llama 3 using Direct Preference Optimization

Google’s TransformerFAM: A Breakthrough in Long-Context Processing

How to Apply Crocker's Law for Feedback and Growth

Mastering Sentiment Analysis through Generative AI

User Complained GPT-4 Being Lazy: OpenAI Acknowledges

Show HN: I've updated my food delivery repo. Feedback Welcome

RLHF For High-Performance Decision-Making: Strategies and Optimization

Hindsight PRIORs for Reward Learning from Human Preferences

UC Berkeley Unveils an Open LLM Starling-7B Trained Using Reinforcement Learning from AI Feedback

Honest Feedback on a Wallpen Vertical Printer

The AI feedback loop: Researchers warn of ‘model collapse’ as AI trains on AI-generated content

Teachers Ask Better Questions With Feedback That’s Frequent, Personal, and AI-Generated, Study Shows

AI feedback loop will spell death for future generative models

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