InfoWorld

JULY 3, 2024

AWS’ new theory on designing an automated RAG evaluation mechanism could not only ease the development of generative AI-based applications but also help enterprises reduce spending on compute infrastructure.

Evaluation 76

Evaluation Help Technique Language 76

TechCrunch

JANUARY 5, 2022

However, today’s startups need to reconsider the MVP model as artificial intelligence (AI) and machine learning (ML) become ubiquitous in tech products and the market grows increasingly conscious of the ethical implications of AI augmenting or replacing humans in the decision-making process. Find an ethics officer to lead the charge.

Model 141

Model Time Product Government 141

The AI Alignment Forum

APRIL 18, 2025

In most of our research and writing on AI control, weve emphasized the following situation: The AI developer is deploying a model that they think might be scheming, but they arent sure. The objective of the safety team is to ensure that if the model is scheming, it will be caught before successfully causing a catastrophe.

Technique 59

Technique Train Training Model 59

TechCrunch

JULY 13, 2022

Companies face several hurdles in creating text-, audio- and image-analyzing AI models for deployment across their apps and services. Cost is an outsize one — training a single model on commercial hardware can cost tens of thousands of dollars, if not more. Geifman proposes neural architecture search (NAS) as a solution.

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Model Tech Images Poll 99

The AI Alignment Forum

FEBRUARY 19, 2025

Published on February 19, 2025 12:39 PM GMT With many thanks to Sasha Frangulov for comments and editing Before publishing their o1-preview model system card on Sep 12, 2024, OpenAI tested the model on various safety benchmarks which they had constructed. To test this, we decided to use the ProtocolQA benchmark from LabBench.

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Evaluation Research Benchmark Model 59

TechCrunch

JANUARY 25, 2023

Tanmay Chopra Contributor Share on Twitter Tanmay Chopra works in machine learning at AI search startup Neeva , where he wrangles language models large and small. Last summer could only be described as an “AI summer,” especially with large language models making an explosive entrance. Let’s start with buying.

Language 88

Language Model Build Open Source 88

TechCrunch

MAY 9, 2023

Dubbed “constitutional AI,” Anthropic argues its technique, which aims to imbue systems with “values” defined by a “constitution,” makes the behavior of systems both easier to understand and simpler to adjust as needed. Neither model looks at every principle every time. Perhaps not.

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DataRobot

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

Model 64

Model Develop Technique Data 64

Fast Company Tech

MARCH 18, 2025

In the midst of an artificial intelligence boom thats reshaping almost every facet of the business world, companies are competing in an arms race to build the best and brightest models and fully embrace the nascent technology, whether thats as a product or service for customers or as an integralcomponent of their organizations processes.

Companies 90

Companies Data Analysis Analytics 90

Machine Learning Mastery

MARCH 29, 2025

This post is divided into three parts; they are: Using DistilBERT Model for Question Answering Evaluating the Answer Other Techniques for Improving the Q&A Capability BERT (Bidirectional Encoder Representations from Transformers) was trained to be a general-purpose language model that can understand text.

Technique 83

Technique Evaluation Language Train 83

Google Research AI blog

AUGUST 24, 2023

Posted by Hattie Zhou, Graduate Student at MILA, Hanie Sedghi, Research Scientist, Google Large language models (LLMs), such as GPT-3 and PaLM , have shown impressive progress in recent years, which have been driven by scaling up models and training data sizes. manipulating symbols based on logical rules).

Teach 66

Teach Language Model Evaluation 66

DataRobot

MAY 26, 2022

Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. In summary, to ensure that they have built a robust model, modelers must make certain that they have designed the model in a way that is backed by research and industry-adopted practices.

Model 52

Model Evaluation Technique Metrics 52

Beth's Blog: How Nonprofits Can Use Social Media

JUNE 12, 2009

Allison Fine and I have been noodling with an evaluation model that looks social media from an organizational perspective - from social networks to social capital (relationships) to action in the real world. Now I'm wondering where the techniques of engagement need to be incorporated. Listening is not just a one-way activity.

Relationship 74

Relationship Model Social Strategy 74

The AI Alignment Forum

MARCH 13, 2025

Published on March 13, 2025 7:18 PM GMT We study alignment audits systematic investigations into whether an AI is pursuing hidden objectivesby training a model with a hidden misaligned objective and asking teams of blinded researchers to investigate it. As a testbed, we train a language model with a hidden objective.

Language 52

Language Model Technique Train 52

DataRobot

DECEMBER 16, 2021

and train models with a single click of a button. Advanced users will appreciate tunable parameters and full access to configuring how DataRobot processes data and builds models with composable ML. Explanations around data, models , and blueprints are extensive throughout the platform so you’ll always understand your results.

Platform 98

Platform Generation Technique Language 98

Beth's Blog: How Nonprofits Can Use Social Media

DECEMBER 23, 2011

I’ve been curating resources on training techniques and capacity building over at scoop.it The model balances content, learning design, and participants. Developmental Evaluation: Applying Complexity Concepts to Enhance Innovation and Use by Michael Quinn Patton. Michael Quinn Patton is the godfather of evaluation.

Skills 106

Skills Network Social Media Evaluation 106

Beth's Blog: How Nonprofits Can Use Social Media

MARCH 5, 2014

There are a wealth of theories, ideas, and methods covered, for example the “ SAVI ” model for designing exercises that help learners embrace learning in different styles. This six-step instructional model is called “ENGAGE.” From Analysis to Evaluation: Tools, Tips, and Techniques from Trainers.

Train 116

Train Training Technology Instructional Design 116

Google Research AI blog

JUNE 13, 2023

Modeling human attention (the result of which is often called a saliency model) has therefore been of interest across the fields of neuroscience, psychology, human-computer interaction (HCI) and computer vision. Attention-guided image editing Human attention models usually take an image as input (e.g.,

Attention 78

Attention Model Experiment Research 78

Beth's Blog: How Nonprofits Can Use Social Media

MAY 10, 2011

Since networked learning happens in the context of an ecosystem, perhaps Gary Hayes Transmedia Storytelling model or Lini Srivastava’s Transmedia Activism model. . Maybe the scaffolding for learning in public for an evaluation goes something like this: Transparent: This is the first step to make learning products visible.

Public 104

Public Learning Wiki Consultant 104

Fast Company Tech

MARCH 18, 2025

The most innovative firms in the industry expand this notion, solving pressing issues in new ways that build on or scale up existing techniques and technologies. It also incorporated embodied carbon analysis into Autodesk Insight, an energy modeling tool built to work with its Autodesk Revit building information modeling software.

Los Angeles 98

Los Angeles Companies North Carolina Denver 98

Google Research AI blog

FEBRUARY 3, 2023

Specifically, our wildfire tracker models use the GOES-16 and GOES-18 satellites to cover North America, and the Himawari-9 and GK2A satellites to cover Australia. Model Prior work on fire detection from satellite imagery is typically based on physics-based algorithms for identifying hotspots from multispectral imagery. μm and 11.2

Track 108

Track North America Time Australia 108

Google Research AI blog

MAY 12, 2023

Prior research has investigated several important technical building blocks to enable conversational interaction with mobile UIs, including summarizing a mobile screen for users to quickly understand its purpose, mapping language instructions to UI actions and modeling GUIs so that they are more amenable for language-based interaction.

Interaction 104

Interaction Conversation Mobile Summary 104

Google Research AI blog

NOVEMBER 29, 2022

Posted by Jason Wei and Yi Tay, Research Scientists, Google Research, Brain Team In recent years, language models (LMs) have become more prominent in natural language processing (NLP) research and are also becoming increasingly impactful in practice. Scaling up LMs has been shown to improve performance across a range of NLP tasks.

Language 52

Language Model Instruction Instructional 52

Google Research AI blog

FEBRUARY 1, 2023

Posted by Shayne Longpre, Student Researcher, and Adam Roberts, Senior Staff Software Engineer, Google Research, Brain Team Language models are now capable of performing many new natural language processing (NLP) tasks by reading instructions, often that they hadn’t seen before. The stars indicate the peak performance in each setting.

Instruction 89

Instruction Instructional Open Source Method 89

OpenAI

FEBRUARY 24, 2023

2] Generally speaking, we think more usage of AI in the world will lead to good, and want to promote it (by putting models in our API, open-sourcing them, etc.). As our systems get closer to AGI, we are becoming increasingly cautious with the creation and deployment of our models. This makes planning in a vacuum very difficult. [2]

Open Source 145

Open Source Model Benefit System 145

Beth's Blog: How Nonprofits Can Use Social Media

FEBRUARY 25, 2014

I’ll be doing a session with colleagues Danette Peters and Roberto Cremonini on Outcomes, Impact, and Communication where will not only share some case studies and techniques for outcome-based evaluation, but model some small group facilitation techniques for the process.

Conference 116

Conference San Diego Social Media New York City 116

The Next Web

DECEMBER 30, 2012

How to identify and engage the first customers for your product, and how to gather, evaluate and use their feedback to make your product, marketing and business model far stronger. 3D modeling, rendering and animation by Penn University. Lore (Learn + More), formerly known as CourseKit, has some great courses on deck.

Learning 156

Learning University Language Course 156

Google Research AI blog

FEBRUARY 10, 2023

Robust algorithm design is the backbone of systems across Google, particularly for our ML and AI models. We provided a model-based taxonomy that unified many graph learning methods. In addition, we discovered insights for GNN models from their performance across thousands of graphs with varying structure (shown below).

Research 110

Research Google Technique Model 110

Singularity Hub

FEBRUARY 7, 2025

One of the greatest strengths of large language models is their generality. Yet most models are still vulnerable to so-called jailbreaksinputs designed to sidestep these protections. Yet most models are still vulnerable to so-called jailbreaksinputs designed to sidestep these protections.

Technique 82

Technique Model Language University 82

Beth's Blog: How Nonprofits Can Use Social Media

MARCH 3, 2011

I’m the lead for Zoetica where my role is to deliver training, advise on the curriculum and coaching methods, model transparency, and serve as meta network weaver. The morning used the World Cafe technique. The world cafe technique is where participants learn through conversation in small groups. Photo by SMEXbeirut.

Social Media 94

Social Media Media Social Technique 94

Beth's Blog: How Nonprofits Can Use Social Media

OCTOBER 2, 2013

Descriptions of key digital measurement concepts, terminology and analysis techniques. Deep-dives into Google Analytics reports with specific examples for evaluating your digital marketing performance. It sounds like they have adapted the Khan Academy model. Guidance on how to build an effective measurement plan.

Analytics 108

Analytics Digital Google Online 108

Eric Jacobsen Blog

DECEMBER 1, 2010

Wednesday, December 1, 2010 How To Avoid 8 Common Performance Evaluation Pitfalls As the year comes to a close its likely time for many business leaders to tackle the annual performance appraisal process. So, here is a good reminder from author Sharon Armstrong about how to avoid eight performance evaluation pitfalls.

Evaluation 56

Evaluation Mentoring Kansas City Leadership 56

The AI Alignment Forum

JANUARY 31, 2025

Published on January 31, 2025 3:36 PM GMT This is a linkpost for a new research paper of ours , introducing a simple but powerful technique for preventing Best-of-N jailbreaking. This success persisted even when utilizing smaller LLMs to power the evaluation (Claude and LLaMa-3-8B-instruct proved almost equally capable). It blocks 99.5-100%

Evaluation 40

Evaluation Language Instruction Instructional 40

Google Research AI blog

MARCH 31, 2023

Posted by Piotr Padlewski and Josip Djolonga, Software Engineers, Google Research Large Language Models (LLMs) like PaLM or GPT-3 showed that scaling transformers to hundreds of billions of parameters improves performance and unlocks emergent abilities. At first, the new model scale resulted in severe training instabilities.

Train 103

Train Training Model Arts 103

Beth's Blog: How Nonprofits Can Use Social Media

APRIL 28, 2011

Your organization needs to think holistically. If you don’t have a developmental model, you won’t know where to start or how to prioritize your time. The Networked Nonprofit Practice Model. Or as Inga Broerman, Guide Star VP of Marketing said, “You won’t know what to say no to.&#.

Social Media 102

Social Media Practice Media Social 102

Google Research AI blog

JANUARY 24, 2023

We built the model using only public data on the web that wasn't associated with any patient (i.e., no potentially sensitive data) and evaluated performance on real, de-identified notes from inpatient and outpatient clinicians from different health systems. The model input is a string that may or may not contain medical abbreviations.

Literacy 72

Literacy Technique Model Evaluation 72

The AI Alignment Forum

FEBRUARY 18, 2025

TL;DR: Recent work has evaluated the generalizability of Sparse Autoencoder (SAE) features; this study examines their effectiveness in multimodal settings. We evaluate feature extraction using a CIFAR-100-inspired explainable classification task, analyzing the impact of pooling strategies, binarization, and layer selection on performance.

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Model Evaluation Language Train 52