Ofemwire

MARCH 22, 2024

It’s like a helper for your research, making it easier for you to ask the right questions, find the information you need, and understand complex topics. Exploring Further: The platform presents related questions at the bottom of each answer, enabling you to go deeper into the topic. This is where Perplexity AI comes in.

AI Tools 102

AI Tools Categorization AI AI 102

Marktechpost

AUGUST 12, 2023

Table 1: Examples of their training data from Stack Exchange and Human Annotation More precisely, Shepherd can produce natural language feedback that includes deep topic knowledge, concrete suggestions for improvement, and broad judgments and recommendations. The community data is more useful and diverse than the human-annotated data.

Large Language Models 98

Large Language Models AI Modeling LLM AI 98

AssemblyAI

DECEMBER 18, 2023

These models can perform tasks like summarization, identifying topics, and PII redaction. Catalog course content more effectively Speech AI to achieve this: Speech-to-Text, Audio Intelligence, Topic Detection, Key Phrases For an LMS that houses a content library meant for user exploration, Topic Detection could be used to enhance search.

AI 147

AI AI Artificial Intelligence Artificial Intelligence 147

AssemblyAI

AUGUST 3, 2023

It can produce fluent responses on a wide range of topics. On the other hand, organizing a group of human annotators to select preferred outputs iteratively can result in a relatively large dataset on which to train a preference model. There is a wealth of interconnected topics waiting to be explored.

LLM 238

LLM Chatbots ChatGPT OpenAI 238

Towards AI

FEBRUARY 20, 2024

With RAGAS, you can assess the performance of RAG systems without relying on human annotations, making evaluation cycles faster and more efficient. If you like this topic and you want to support me: Clap my article 50 times; that will really help me out.U+1F44FFollow

Chatbots 87

Chatbots Natural Language Processing ChatGPT Generative AI 87

Marktechpost

DECEMBER 7, 2023

Evaluating the accuracy of LLMs’ answers is more difficult when they take on more complicated topics, especially in fields where specialized knowledge is needed. A major component of oversight techniques, like reinforcement learning from human feedback, is the accuracy with which human annotators can assess the accuracy of LLM outputs.

Artificial Intelligence 118

Artificial Intelligence Artificial Intelligence Large Language Models LLM 118

Mlearning.ai

JANUARY 27, 2023

I planned to add topics in a systematic way as we work on a computer vision project. Examples that fall within a specific topic or domain are typically included in datasets. Annotation: I purposefully placed annotation before augmentation because many annotation tools now have a facility for augmentation.

Computer Vision 98

Computer Vision Deep Learning Python Neural Network 98

Becoming Human

MAY 9, 2024

Using this training data, machine learning models can optimize data annotation, prediction, and analysis. For this, the NLP techniques used are anomaly detection, sentiment annotation, classification, sequence annotation, and entity annotation.

NLP 52

NLP Natural Language Processing Artificial Intelligence Artificial Intelligence 52

Marktechpost

APRIL 14, 2024

The concept is akin to testing a person’s comprehension of a topic by asking them questions and analyzing their responses. This benchmark includes over 180 movies and scans of physical environments, and over 1,600 non-templated question-and-answer pairs provided by human annotators that reflect real-world scenarios.

LLM 99

LLM AI AI Robotics 99

Becoming Human

MAY 12, 2023

In what ways do we understand image annotations, the underlying technology behind AI and machine learning (ML), and its importance in developing accurate and adequate AI training data for machine learning models? As early as the dawn of artificial intelligence, image annotation was used for machine learning.

Machine Learning 81

Machine Learning Computer Vision Automation Artificial Intelligence 81

Marktechpost

JANUARY 26, 2024

The research team emphasized that Orion-14B series models are adaptable and excel in human-annotated blind tests. This dataset has written language across many topics, including web pages, news articles, encyclopedic entries, books, source code, and academic publications.

Large Language Models 130

Large Language Models Natural Language Processing LLM NLP 130

Defined.ai blog

MARCH 20, 2023

In honor of Defined.ai’s new API-based solution for HITL annotations , we wanted to learn more about what implications a crowd-based workforce could have on the tech giants building these new models. We wanted to learn from the best, and what better way to learn more about this topic than to ask the source itself? DAI: Interesting!

Large Language Models 52

Large Language Models ChatGPT Natural Language Processing Computer Vision 52

IBM Journey to AI blog

SEPTEMBER 6, 2023

When an AI foundation model generates off-topic or incorrect content, that behavior is referred to as a hallucination. Because various generative AI solutions are trained on large swaths of data, they have the capability to pull and interpret existing data incorrectly. Thus, the tool has the potential to provide unexpected results.

Generative AI 309

Generative AI AI AI AI Tools 309

deepsense.ai

JULY 4, 2023

Recently Meta AI was in the spotlight with the introduction of a groundbreaking new model, the Segment Anything Model (SAM) [1], along with the SA-1B Dataset consisting of 11m images with 1.1bn mask annotations. Researchers used a pre-trained GAN to generate a few images, which were then labeled by a human annotator.

Deep Learning 76

Deep Learning Neural Network Computer Vision Data Science 76

Towards AI

APRIL 7, 2024

Additionally, the elimination of human loop processes has made it possible for AI/ML to construct training data for data annotation and labeling, which has a major influence on geospatial data. This will also expose you to current and timely information as machine learning is an ever-evolving topic.

Machine Learning 88

Machine Learning Neural Network Convolutional Neural Networks Deep Learning 88

Marktechpost

DECEMBER 8, 2023

Object recognition, predating the deep learning era, has aided in image annotation. Image annotation evolved from topic models to transformer-based architectures. Methods involved region slicing and word prediction, aligning regions with words using lexicons.

AI Researcher 90

AI Researcher AI Research Computer Vision Deep Learning 90

Ehud Reiter

JULY 9, 2023

A team from the PhilHumans project, led by Zixiu (Alex) Wu and Simone Balloccu, has a paper on this topic at ACL2023, called Are Experts Needed? Off-topic : little to no relevance to context. On-topic but unverifiable : relevant to context but including content that cannot be verified based on context alone.

Large Language Models 100

Large Language Models NLP 100

John Snow Labs

JUNE 15, 2023

Spark NLP offers a powerful Python library for scalable text analysis tasks, and its NGramGenerator annotator simplifies n-gram generation. In this article, we will explore one of Spark NLP’s key features, the NGramGenerator annotator, which enables the generation of n-grams from text. setInputCols(["token"]).setOutputCol("ngrams")

NLP 52

NLP Data Scientist Natural Language Processing Data Analysis 52

John Snow Labs

JUNE 9, 2023

By reducing inflected or derived words to their base forms, stemming and lemmatization helps identify common word forms and improve the quality of NLP tasks such as information retrieval, sentiment analysis, topic modeling, and more. It provides efficient stemming and lemmatization annotators, along with other NLP functionalities.

NLP 52

NLP Natural Language Processing Algorithm Python 52

Viso.ai

DECEMBER 20, 2023

In computer vision, this is called image annotation , or video annotation to label individual frames. Image annotation for supervised learning – A data scientist positions bounding boxes with labels for the class “person” What is unsupervised learning? Read our article about what computer vision costs.

Computer Vision 98

Computer Vision Neural Network Machine Learning Algorithm 98

Snorkel AI

DECEMBER 12, 2023

DialogflowCX excels in enabling natural, multi-turn dialogues, allowing virtual agents to navigate various topics, conduct transactions, and provide consistent, around-the-clock service across numerous channels. Dialogflow encodes annotations in exported training phrases so that annotations are restored when importing.

Chatbots 64

Chatbots AI AI Machine Learning 64

Ehud Reiter

DECEMBER 19, 2023

Findings are very interesting, but to me the key contribution is to show what a very high-quality evaluation in this space looks like (professional translators asked to evaluate 18 language pairs using a carefully designed annotation protocol). R van Noorden (2023). Medicine is plagued by untrustworthy clinical trials.

NLP 124

NLP Large Language Models LLM Algorithm 124

Explosion

FEBRUARY 15, 2023

To get their NLP models working effectively, the team needed to emphasize human annotation and experimentation, which is why Posh turned to Prodigy. With my previous annotation tools], I would get a lot of feedback from annotators, saying 'it's really hard, because I have to scroll and scroll and scroll to see the labels. .

Chatbots 59

Chatbots NLP Data Scientist OpenAI 59

Google Research AI blog

FEBRUARY 21, 2023

Posted by John Platt, Distinguished Scientist, Google Research (This is Part 7 in our series of posts covering different topical areas of research at Google. Our teams are exploring topics across the physical and natural sciences. You can find other posts in the series here.) It's an incredibly exciting time to be a scientist.

ML 105

ML Machine Learning Deep Learning Algorithm 105

Snorkel AI

DECEMBER 12, 2023

DialogflowCX excels in enabling natural, multi-turn dialogues, allowing virtual agents to navigate various topics, conduct transactions, and provide consistent, around-the-clock service across numerous channels. Dialogflow encodes annotations in exported training phrases so that annotations are restored when importing.

Chatbots 59

Chatbots AI AI Machine Learning 59

Marktechpost

OCTOBER 24, 2023

The emerging vision and language tasks depend highly on topic-centric data and often skimps through image descriptors. Their method of generic stages enables one to eliminate domain-specific annotations and makes the solution from the existing works. However, the current LLMs are based on processing text image pairs.

Natural Language Processing 98

Natural Language Processing Large Language Models Categorization Chatbots 98

Marktechpost

OCTOBER 24, 2023

Along with evaluating the performance using an LLM, the researchers also used human annotators. However, it can significantly improve the performance of LLMs on conversational tasks, providing a more detailed and clear explanation of complex topics like quantum computing.

LLM 98

LLM Explainability OpenAI AI Researcher 98

Explosion

JANUARY 29, 2023

We’ve also released several updates to Prodigy and introduced new recipes to kickstart annotation with zero- or few-shot learning. The spancat is a spaCy component that answers the need to handle arbitrary and overlapping spans , which can be used for long phrases, non-named entities or overlapping annotations. Already a pro?

NLP 59

NLP Explainability Python Data Scientist 59

Explosion

JANUARY 29, 2023

BERTopic Leveraging BERT and c-TF-IDF to create easily interpretable topics. spaCy - Partial Tagger Sequence tagger for partially annotated datasets in spaCy. Read more about all the improvements, updates and bug fixes: v3.5 usage notes v3.5.0 concepCy A multilingual knowledge graph in spaCy. spacy-cleaner Easily clean text with spaCy.

Natural Language Processing 59

Natural Language Processing BERT NLP 59

Marktechpost

DECEMBER 5, 2023

The data collection involves selecting topics based on visual inputs, engaging student annotators to gather multimodal questions, and implementing quality control. The MMMU benchmark, designed for Expert AGI evaluation, comprises 11.5K college-level problems spanning six disciplines and 30 subjects.

AI 57

AI AI AI Researcher AI Research 57

Snorkel AI

OCTOBER 6, 2023

For example, by generating embeddings for a wide sample of texts, you can use unsupervised clustering techniques to identify the topics in the data. To ensure quality, project leaders can supply annotators with responses to write prompts toward. But that’s a topic for another post. Hand-build prompt response pairs.

Large Language Models 69

Large Language Models LLM Data Mining Data Science 69

Marktechpost

AUGUST 27, 2023

The expenditures associated with manual data annotation, which often add the expense to the creation of legal language models, would be reduced by the models’ ability to learn new jobs from small amounts of labeled data. These findings ultimately illustrate several potential research topics that LEGALBENCH may facilitate.

Large Language Models 98

Large Language Models LLM Prompt Engineer Prompt Engineering 98

Marktechpost

JULY 23, 2023

Researchers also annotate the instance with information about the domains in which it occurs, the level of difficulty, and the related set of skills (a skill set). The breadth of topics addressed and the quantity of detail supplied within each topic indicate the response’s comprehensiveness and completeness.

AI Researcher 98

AI Researcher AI Research LLM Natural Language Processing 98

Viso.ai

DECEMBER 19, 2023

We will cover the following topics: What Is Image Classification? A well-optimized classification dataset works great in comparison to a bad dataset with data imbalance based on class and poor quality of images and image annotations. Example of manual image annotation for supervised training of deep learning algorithms.

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 98

Towards AI

MAY 12, 2023

One of the hot topics is whether GPT-like models can replace humans for data annotation and generation tasks. That’s why we use two text classification datasets: one with data “previously unseen” by GPT models and human annotators, and one with non-trivial classification tasks from an e-commerce domain.

Prompt Engineer 83

Prompt Engineer Prompt Engineering Large Language Models LLM 83

ODSC - Open Data Science

OCTOBER 18, 2023

To find out, we’ve taken some of the upcoming tutorials and workshops from ODSC West 2023 and let the experts via their topics guide us toward building better machine learning. This presentation introduces how to create high-quality, annotated datasets for training machine learning models.

Machine Learning 52

Machine Learning Software Engineer Data Science Data Scientist 52

Snorkel AI

OCTOBER 6, 2023

For example, by generating embeddings for a wide sample of texts, you can use unsupervised clustering techniques to identify the topics in the data. To ensure quality, project leaders can supply annotators with responses to write prompts toward. But that’s a topic for another post. Hand-build prompt response pairs.

Large Language Models 59

Large Language Models LLM Data Mining Data Science 59