Unite.AI

FEBRUARY 7, 2024

MLOps are practices that automate and simplify ML workflows and deployments. LLMs, such as GPT-4 , BERT , and T5 , are very powerful and versatile in Natural Language Processing (NLP). These include version control, experimentation, automation, monitoring, alerting, and governance.

Machine Learning 288

Machine Learning Large Language Models LLM BERT 288

Unite.AI

MARCH 24, 2024

Their approach began with an existing artificial neuron model, S-Bert, known for its language comprehension capabilities. The UNIGE team’s strategy involved connecting S-Bert, composed of 300 million neurons pre-trained in language understanding, to a smaller, simpler neural network.

Neural Network 354

Neural Network Robotics Natural Language Processing NLP 354

Unite.AI

MAY 29, 2024

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. Additionally, it poses a security risk when handling sensitive data, making it a less desirable option in the age of automation and digital security.

Data Extraction 268

Data Extraction Neural Network Large Language Models NLP 268

Marktechpost

JANUARY 20, 2025

Notably, BERT (Bidirectional Encoder Representations from Transformers), introduced by Devlin et al. In content creation, generative models can automate the production of artwork, video game textures, and synthetic media. Research and Real-World Implications Generative AI has wide-ranging implications.

Generative AI 114

Generative AI Neural Network AI AI 114

Marktechpost

NOVEMBER 17, 2024

Researchers from the Institute of Automation, Chinese Academy of Sciences, and other institutions propose BEAL, a deep active learning method for MLTC. Experiments with a BERT-based MLTC model on benchmark datasets like AAPD and StackOverflow show that BEAL improves training efficiency, achieving convergence with fewer labeled samples.

Deep Learning 97

Deep Learning BERT Automation ML 97

Marktechpost

MAY 13, 2024

Researchers from Cohere introduce a novel approach that utilizes the model’s embedding weights to automate and scale the detection of under-trained tokens. The study demonstrated the effectiveness of this new method by applying it to several well-known models, including variations of Google’s BERT and OpenAI’s GPT series.

Automation 106

Automation Computational Linguistics Large Language Models Natural Language Processing 106

AI Weekly

JULY 27, 2023

techcrunch.com The Essential Artificial Intelligence Glossary for Marketers (90+ Terms) BERT - Bidirectional Encoder Representations from Transformers (BERT) is Google’s deep learning model designed explicitly for natural language processing tasks like answering questions, analyzing sentiment, and translation.

Neural Network 246

Neural Network Convolutional Neural Networks Robotics Natural Language Processing 246

IBM Journey to AI blog

FEBRUARY 13, 2024

Automate tedious, repetitive tasks. Innovators who want a custom AI can pick a “foundation model” like OpenAI’s GPT-3 or BERT and feed it their data. Project management and operations : Generative AI tools can support project managers with automation within their platforms. Best practices are evolving rapidly.

Generative AI 343

Generative AI AI AI Chatbots 343

AWS Machine Learning Blog

JUNE 25, 2024

Advantages of adopting generative approaches for NLP tasks For customer feedback analysis, you might wonder if traditional NLP classifiers such as BERT or fastText would suffice. This provides an automated deployment experience on your AWS account. We highly suggest you follow the GitHub README and deployment guidance to get started.

Automation 117

Automation Prompt Engineer Prompt Engineering Categorization 117

IBM Journey to AI blog

NOVEMBER 24, 2023

Many enterprises are realizing that moving to cloud is not giving them the desired value nor agility/speed beyond basic platform-level automation. Generative AI-based Solution Approach : The Mule API to Java Spring boot modernization was significantly automated via a Generative AI-based accelerator we built.

Generative AI 284

Generative AI Auto-complete DevOps Automation 284

Marktechpost

DECEMBER 5, 2023

Examples of Small Language Models DistilBERT is a quicker, more compact version of BERT that transforms NLP by preserving performance without sacrificing efficiency. Modified iterations of Google’s BERT model, including BERT Mini, Small, Medium, and Tiny, have been designed to accommodate varying resource limitations.

BERT 132

BERT Large Language Models Neural Network Natural Language Processing 132

Unite.AI

JULY 1, 2024

These models, such as OpenAI's GPT-4 and Google's BERT , are not just impressive technologies; they drive innovation and shape the future of how humans and machines work together. Automated tools can streamline this process, allowing real-time audits and timely interventions.

Explainability 176

Explainability BERT AI AI 176

AWS Machine Learning Blog

AUGUST 2, 2024

of nodes with text-features MAG 484,511,504 7,520,311,838 4/4 28,679,392 1,313,781,772 240,955,156 We benchmark two main LM-GNN methods in GraphStorm: pre-trained BERT+GNN, a baseline method that is widely adopted, and fine-tuned BERT+GNN, introduced by GraphStorm developers in 2022. Dataset Num. of nodes Num. of edges Num.

BERT 109

BERT Neural Network Machine Learning ML 109

ODSC - Open Data Science

MARCH 12, 2025

Initially, organizations struggled with versioning, monitoring, and automating model updates. As MLOps matured, discussions shifted from simple automation to complex orchestration involving continuous integration, deployment (CI/CD), and model drift detection.

Data Science 52

Data Science ETL Machine Learning AI Engineer 52

Marktechpost

DECEMBER 18, 2023

Bioformer Bioformer is a compact version of BERT that can be used for biomedical text mining. Although BERT has achieved state-of-the-art performance in NLP applications, its parameters could be reduced with a minor impact on performance to improve its computational efficiency.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence BERT Deep Learning 130

AWS Machine Learning Blog

JANUARY 7, 2025

Localization relies on both automation and humans-in-the-loop in a process called Machine Translation Post Editing (MTPE). You can use automated quality estimation models to flag potentially low-quality translations, which can then be reviewed and corrected by human translators.

Large Language Models 98

Large Language Models Prompt Engineer Prompt Engineering Metadata 98

AWS Machine Learning Blog

FEBRUARY 6, 2024

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.

Large Language Models 113

Large Language Models BERT NLP Data Scientist 113

AWS Machine Learning Blog

MARCH 2, 2023

Transformer-based language models such as BERT ( Bidirectional Transformers for Language Understanding ) have the ability to capture words or sentences within a bigger context of data, and allow for the classification of the news sentiment given the current state of the world. W&B Sweeps will automate this kind of exploration.

BERT 85

BERT Deep Learning Metadata Auto-complete 85

Marktechpost

MAY 2, 2024

Recent developments in this field have significantly impacted machine translation, chatbots, and automated text analysis. Existing research includes models like GPT, which excels at text generation and sentiment analysis, and BERT, known for its bidirectional training that improves context comprehension.

BERT 120

BERT NLP Natural Language Processing Artificial Intelligence 120

Marktechpost

NOVEMBER 17, 2023

The DRAGON model family joins two other LLMWare RAG model collections : BLING and Industry-BERT. Each of the DRAGON models achieve accuracy in the mid-to-high 90s on a diverse set of 100 core test questions, with strong grounding to avoid hallucinations and to identify when a question cannot be answered from a passage (e.g., ‘not

LLM 136

LLM BERT Automation Large Language Models 136

Marktechpost

JULY 22, 2024

With deep learning models like BERT and RoBERTa, the field has seen a paradigm shift. BERT and RoBERTa, for example, have shown superior performance over traditional stylometric techniques. on the IMDB dataset, a substantial improvement over the highest-performing baseline, BERT, which gained 67.7%. Check out the Paper.

Explainability 103

Explainability BERT Large Language Models Deep Learning 103

IBM Journey to AI blog

JANUARY 25, 2024

Additionally, the models themselves are created from limited architectures: “Almost all state-of-the-art NLP models are now adapted from one of a few foundation models, such as BERT, RoBERTa, BART, T5, etc. But note, capturing risk well before your model has been developed and is in production is optimal.

Algorithm 247

Algorithm Explainability AI AI 247

IBM Journey to AI blog

AUGUST 1, 2023

BERT (Bi-directional Encoder Representations from Transformers) is one of the earliest LLM foundation models developed. An open-source model, Google created BERT in 2018. A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks.

Generative AI 176

Generative AI Data Scientist BERT Machine Learning 176

AssemblyAI

SEPTEMBER 18, 2023

They tended to rely on smaller datasets and more developer handholding, making them less intelligent and more like automation tools. Cost Efficiency: LLMs can automate tasks that previously required human intervention, leading to significant cost savings. User Experience: LLMs can engage users in more natural, human-like conversations.

Large Language Models 130

Large Language Models BERT Auto-complete LLM 130

Marktechpost

JULY 4, 2023

Regex generation Regular expression generation is time-consuming for developers; however, Autoregex.xyz leverages GPT-3 to automate the process. Automated code reviews & code quality improvement Codiga provides automatic code reviews, and Mutable AI has industrialized Jupyter notebooks.

Large Language Models 103

Large Language Models BERT Natural Language Processing Categorization 103

Marktechpost

SEPTEMBER 28, 2024

In the age of data-driven artificial intelligence, LLMs like GPT-3 and BERT require vast amounts of well-structured data from diverse sources to improve performance across various applications.

LLM 132

LLM Metadata Data Extraction BERT 132

John Snow Labs

JUNE 27, 2023

Automation and Scalability: LLMs enable automation of various NLP tasks, eliminating the need for manual intervention. In this section, we will provide an overview of two widely recognized LLMs, BERT and GPT, and introduce other notable models like T5, Pythia, Dolly, Bloom, Falcon, StarCoder, Orca, LLAMA, and Vicuna.

Large Language Models 52

Large Language Models BERT Natural Language Processing NLP 52

Unite.AI

JULY 25, 2024

Transformer-based models such as BERT and GPT-3 further advanced the field, allowing AI to understand and generate human-like text across languages. This phase includes validating the model to ensure accuracy and reliability, using tools like the AI Platform Optimizer to automate the process efficiently.

Neural Network 200

Neural Network AI AI Machine Learning 200

ODSC - Open Data Science

MARCH 10, 2025

Starting with BERT and accelerating with the launch of GPT-3 , conference sessions on LLMs and transformers skyrocketed. Conference sessions explored their architecture, safety concerns, and potential for business automation. The real game-changer, however, was the rise of Large Language Models (LLMs). Whats Next for DataScience?

Data Science 52

Data Science Neural Network Convolutional Neural Networks Large Language Models 52

Bugra Akyildiz

DECEMBER 28, 2024

Libraries DRAGON is a new foundation model (improvement of BERT) that is pre-trained jointly from text and knowledge graphs for improved language, knowledge and reasoning capabilities. DRAGON can be used as a drop-in replacement for BERT. AutoKitteh is a developer platform for workflow automation and orchestration.

LLM 52

LLM Large Language Models BERT Python 52

Unite.AI

DECEMBER 27, 2023

Facebook's RoBERTa, built on the BERT architecture, utilizes deep learning algorithms to generate text based on given prompts. LeewayHertz's ZBrain AI platform revolutionizes manufacturing workflows by optimizing supply chains, improving quality control, streamlining production, and automating supplier evaluations.

Generative AI 215

Generative AI Chatbots Large Language Models OpenAI 215

AWS Machine Learning Blog

DECEMBER 4, 2023

An important aspect of our strategy has been the use of SageMaker and AWS Batch to refine pre-trained BERT models for seven different languages. Fine-tuning multilingual BERT models with AWS Batch GPU jobs We sought a solution to support multiple languages for our diverse user base.

BERT 113

BERT Auto-complete Data Scientist Machine Learning 113

Unite.AI

DECEMBER 1, 2023

Flawed Decision Making The opaqueness in the decision-making process of LLMs like GPT-3 or BERT can lead to undetected biases and errors. These can be generated through manual editing, heuristic keyword replacement, or automated text rewriting. This presents an inherent tradeoff between scale, capability, and interpretability.

LLM 261

LLM Machine Learning Explainability Algorithm 261

IBM Journey to AI blog

JULY 19, 2023

The industry is under tremendous pressure to accelerate drug development at an optimal cost, automate time- and labor-intensive tasks like document or report creation to preserve employee morale, and accelerate delivery. Yet, it is burdened by long R&D cycles and labor-intensive clinical, manufacturing and compliancy regimens.

Generative AI 183

Generative AI Large Language Models AI AI 183

AWS Machine Learning Blog

MAY 31, 2023

In 2018, BERT-large made its debut with its 340 million parameters and innovative transformer architecture, setting the benchmark for performance on NLP tasks. For text tasks such as sentence classification, text classification, and question answering, you can use models such as BERT, RoBERTa, and DistilBERT.

Automation 78

Automation Python Machine Learning BERT 78

Unite.AI

FEBRUARY 23, 2024

The second course, “ChatGPT Advanced Data Analysis,” focuses on automating tasks using ChatGPT's code interpreter. teaches students to automate document handling and data extraction, among other skills. This course is ideal for learners looking to automate complex workflows and unlock new development capabilities.

Prompt Engineering 267

Prompt Engineering Prompt Engineer Large Language Models ChatGPT 267

Marktechpost

MAY 5, 2024

While earlier surveys predominantly centred on encoder-based models such as BERT, the emergence of decoder-only Transformers spurred advancements in analyzing these potent generative models. Circuit analysis identifies interacting components, with recent advances automating circuit discovery and abstracting causal relationships.

Natural Language Processing 111

Natural Language Processing Categorization NLP Neural Network 111