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 encourages innovation, allowing developers to fine-tune and customize the model to suit specific needs without incurring additional costs. Deploying Llama 3.1

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Marktechpost

FEBRUARY 11, 2024

It starts with training a BERT model with a context length of 2048 tokens, named nomic-bert-2048, with modifications inspired by MosaicBERT. The emphasis on transparency, reproducibility, and the release of model weights, training code, and curated data showcase a commitment to openness in AI development.

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Viso.ai

MARCH 20, 2024

Foundation models are recent developments in artificial intelligence (AI). Models like GPT 4, BERT, DALL-E 3, CLIP, Sora, etc., are at the forefront of the AI revolution. In this article, we’ll discuss the transformative impact of foundation models in modern AI developments. with labeled data.

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Unite.AI

DECEMBER 27, 2023

These innovations have been, in fact, the foundation for the AI developments we witnessed recently. Facebook's RoBERTa, built on the BERT architecture, utilizes deep learning algorithms to generate text based on given prompts. OpenAI's GPT-4 stands as a state-of-the-art generative language model, boasting an impressive over 1.7

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IBM Journey to AI blog

FEBRUARY 13, 2024

Tools such as Midjourney and ChatGPT are gaining attention for their capabilities in generating realistic images, video and sophisticated, human-like text, extending the limits of AI’s creative potential. Custom-trained models: Most organizations can’t produce or support AI without a strong partnership.

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Unite.AI

DECEMBER 1, 2023

As we continue to integrate AI more deeply into various sectors, the ability to interpret and understand these models becomes not just a technical necessity but a fundamental requirement for ethical and responsible AI development. This presents an inherent tradeoff between scale, capability, and interpretability.

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Unite.AI

OCTOBER 11, 2024

This dynamic functionality makes RAG more agile and accurate than models like GPT-3 or BERT , which rely on knowledge acquired during training that can quickly become outdated. However, the increasing demand for RAGs has highlighted some limitations of traditional static models.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others.

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ODSC - Open Data Science

MARCH 12, 2025

The Boom of Generative AI and Large Language Models(LLMs) 20182020: NLP was gaining traction, with a focus on word embeddings, BERT, and sentiment analysis. 20232024: The emergence of GPT-4, Claude, and open-source LLMs dominated discussions, highlighting real-world applications, fine-tuning techniques, and AI safety concerns.

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Unite.AI

OCTOBER 23, 2023

Over the past few years, Large Language Models (LLMs) have garnered attention from AI developers worldwide due to breakthroughs in Natural Language Processing (NLP). The figure above compares the performance of the MiniGPT-5 framework with the fine-tuned MiniGPT-4 framework on the S-BERT, Rouge-L and Meteor performance metrics.

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Unite.AI

DECEMBER 9, 2024

Then came transformers where models like GPT-3 and Googles BERT have showed that scaling could unlock entirely new capabilities, such as few-shot learning. are making advanced AI tools available to smaller companies and researchers. A Greener Future: Optimized models reduce energy consumption, making AI development more sustainable.

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Marktechpost

JULY 14, 2023

The development of Large Language Models (LLMs) can be termed as one of the major reasons for the sudden growth in the amount of recognition and popularity generative AI is receiving. LLMs are AI models that are designed to process natural language and generate human-like responses.

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NVIDIA

FEBRUARY 11, 2025

That work inspired researchers who created BERT and other large language models , making 2018 a watershed moment for natural language processing, a report on AI said at the end of that year. Google released BERT as open-source software , spawning a family of follow-ons and setting off a race to build ever larger, more powerful LLMs.

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Marktechpost

MARCH 21, 2024

The advent of open foundation models, such as BERT, CLIP, and Stable Diffusion, has ushered in a new era in artificial intelligence, marked by rapid technological development and significant societal impact.

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Unite.AI

SEPTEMBER 18, 2023

NLP in particular has been a subfield that has been focussed heavily in the past few years that has resulted in the development of some top-notch LLMs like GPT and BERT. Another subfield that is quite popular amongst AI developers is deep learning, an AI technique that works by imitating the structure of neurons.

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Mlearning.ai

MARCH 30, 2023

A pre-trained model such as BERT or GPT can be used as a starting point and fine-tuned on a specific dataset to perform these tasks. Submission Suggestions Why Transfer Learning is a Game-Changer for AI Development was originally published in MLearning.ai

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Unite.AI

OCTOBER 22, 2024

AI models like neural networks , used in applications like Natural Language Processing (NLP) and computer vision , are notorious for their high computational demands. Models like GPT and BERT involve millions to billions of parameters, leading to significant processing time and energy consumption during training and inference.

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Unite.AI

JUNE 21, 2024

The field of artificial intelligence (AI) has witnessed remarkable advancements in recent years, and at the heart of it lies the powerful combination of graphics processing units (GPUs) and parallel computing platform. Installation When setting AI development, using the latest drivers and libraries may not always be the best choice.

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O'Reilly Media

APRIL 23, 2024

They published the original Transformer paper (not quite coincidentally called “Attention is All You Need”) in 2017, and released BERT , an open source implementation, in late 2018, but they never went so far as to build and release anything like OpenAI’s GPT line of services. Will History Repeat Itself?

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Marktechpost

SEPTEMBER 30, 2024

Large Language Models (LLMs) based on Transformer architectures have revolutionized AI development. In Transformers like BERT, the Hessian spectra exhibit significant variations across different parameter blocks, such as embedding, attention, and MLP layers.

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Becoming Human

MARCH 12, 2024

It leverages advanced language models like GPT-4, PaLM-2, Llama-2, and BERT to develop context-aware applications. Integrating human insights with AI capabilities marks a balanced approach that ensures a future where justice and efficiency thrive. Elevate your legal practice with AI-driven legal research solutions!

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John Snow Labs

AUGUST 28, 2023

For the sake of this example we chose to use bert-base-cased and train it on the ConLL dataset. As we strive for responsible AI development, this new feature in LangTest is a step forward in promoting easy to use ethical AI practices and ensuring the responsible deployment of language models in real-world scenarios.

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Snorkel AI

JANUARY 12, 2023

Snorkel Flow capabilities supporting multi-lingual NLP The Snorkel Flow data-centric development loop, centered on programmatic labeling, rapid model and training data iteration, and performance analysis, applies across any language with minor adjustments.

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Pickl AI

DECEMBER 5, 2024

It will highlight its relevance in driving innovation in AI-driven projects and offer developers the tools to harness language models’ full potential. Its modular design supports scalable and customised AI developments. Below are some key features that make LangChain a versatile framework for modern AI development.

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Snorkel AI

OCTOBER 4, 2023

How foundation models jumpstart AI development Foundation models (FMs) represent a massive leap forward in AI development. Speed and enhance model development for specific use cases. Data teams can fine-tune LLMs like BERT, GPT-3.5 natural language processing, image classification, question answering).

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Snorkel AI

OCTOBER 4, 2023

How foundation models jumpstart AI development Foundation models (FMs) represent a massive leap forward in AI development. Speed and enhance model development for specific use cases. Data teams can fine-tune LLMs like BERT, GPT-3.5 natural language processing, image classification, question answering).

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ODSC - Open Data Science

AUGUST 3, 2023

How to Compute Sentence Similarity Using BERT and Word2Vec The sent2vec is an open-source library. Amazon Launches HealthScribe a New Generative AI Tool to Summarize Doctors Visits and Manage Files Amazon Web Services launched a new generative AI tool called HealthScribe, allowing doctors to use speech recognition machine learning & AI.

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AWS Machine Learning Blog

APRIL 29, 2024

Besides easy access, using Trainium with Metaflow brings a few additional benefits: Infrastructure accessibility Metaflow is known for its developer-friendly APIs that allow ML/AI developers to focus on developing models and applications, and not worry about infrastructure. We are happy to help you get started.

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Snorkel AI

OCTOBER 4, 2023

How foundation models jumpstart AI development Foundation models (FMs) represent a massive leap forward in AI development. Speed and enhance model development for specific use cases. Data teams can fine-tune LLMs like BERT, GPT-3.5 natural language processing, image classification, question answering).

Data Scientist 52

Data Scientist AI AI Neural Network 52

Snorkel AI

AUGUST 24, 2023

Build better AI-fueled complaint handling with Snorkel AI The Snorkel Flow data-centric AI platform helps businesses create and launch AI applications for their specific needs by enabling them to label data accurately and at scale.

Large Language Models 52

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Snorkel AI

AUGUST 24, 2023

Build better AI-fueled complaint handling with Snorkel AI The Snorkel Flow data-centric AI platform helps businesses create and launch AI applications for their specific needs by enabling them to label data accurately and at scale.

Large Language Models 52

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 52

Snorkel AI

AUGUST 24, 2023

Build better AI-fueled complaint handling with Snorkel AI The Snorkel Flow data-centric AI platform helps businesses create and launch AI applications for their specific needs by enabling them to label data accurately and at scale.

Large Language Models 52

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 52

Snorkel AI

AUGUST 24, 2023

Build better AI-fueled complaint handling with Snorkel AI The Snorkel Flow data-centric AI platform helps businesses create and launch AI applications for their specific needs by enabling them to label data accurately and at scale.

Large Language Models 52

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 52

ODSC - Open Data Science

NOVEMBER 8, 2023

Generative AI is a new field. Over the past year, new terms, developments, algorithms, tools, and frameworks have emerged to help data scientists and those working with AI develop whatever they desire.

Generative AI 52

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Viso.ai

DECEMBER 18, 2023

This compatibility ensures that AI developers can leverage the strengths of diverse platforms while maintaining model portability and efficiency. Among its most important findings was how it enabled training BERT with double the batch size compared to PyTorch.

Explainability 52

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AWS Machine Learning Blog

NOVEMBER 30, 2023

The metrics are case insensitive and the values are in the range of 0 (no match) to 1 (perfect match); (2) METEOR score (similar to ROUGE, but including stemming and synonym matching via synonym lists, e.g. “rain” → “drizzle”); (3) BERTScore (a second ML model from the BERT family to compute sentence embeddings and compare their cosine similarity.

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Heartbeat

OCTOBER 5, 2023

The emergence of Large Language Models (LLMs) like OpenAI's GPT , Meta's Llama , and Google's BERT has ushered in a new era in this field. Simplicity: By simplifying AI development, LLMOps reduces complexity and makes AI more accessible and user-friendly.

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Large Language Models DevOps Machine Learning Prompt Engineer 52