Towards AI

DECEMBER 28, 2023

The advent of more powerful personal computers paved the way for the gradual acceptance of deep learning-based methods. The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP).

Large Language Models 122

Large Language Models Natural Language Processing Deep Learning Prompt Engineer 122

Marktechpost

JULY 3, 2023

With the release of the latest chatbot developed by OpenAI called ChatGPT, the field of AI has taken over the world as ChatGPT, due to its GPT’s transformer architecture, is always in the headlines. Chatbots – LLMs are frequently utilized in the creation of chatbots and systems that use conversational AI.

Large Language Models 98

Large Language Models Natural Language Processing LLM BERT 98

Snorkel AI

MARCH 1, 2023

BERT BERT, an acronym that stands for “Bidirectional Encoder Representations from Transformers,” was one of the first foundation models and pre-dated the term by several years. BERT proved useful in several ways, including quantifying sentiment and predicting the words likely to follow in unfinished sentences.

BERT 83

BERT Natural Language Processing Large Language Models Neural Network 83

AWS Machine Learning Blog

JUNE 12, 2023

Transformers-based models can be applied across different use cases when dealing with text data, such as search, chatbots, and many more. Deep learning (DL) models with more layers and parameters perform better in complex tasks like computer vision and NLP. He focuses on deep learning, including NLP and computer vision domains.

Deep Learning 78

Deep Learning Auto-classification Computer Vision Machine Learning 78

Viso.ai

JULY 9, 2024

About us : Viso Suite is our end-to-end computer vision infrastructure for enterprises. The powerful solution enables teams to develop, deploy, manage, and secure computer vision applications in one place. Some common free-to-use pre-trained models include BERT, ResNet , YOLO etc. Book a demo to learn more.

Neural Network 52

Neural Network BERT Deep Learning Computer Vision 52

Marktechpost

JULY 22, 2023

The well-known large language models such as GPT, DALLE, and BERT perform extraordinary tasks and ease lives. MLC LLM provides a productive framework that allows developers to optimize model performance for their own use cases, such as Natural Language Processing (NLP) or Computer Vision.

LLM 52

LLM Large Language Models Natural Language Processing Artificial Intelligence 52

Viso.ai

FEBRUARY 25, 2023

Vision Transformer (ViT) have recently emerged as a competitive alternative to Convolutional Neural Networks (CNNs) that are currently state-of-the-art in different image recognition computer vision tasks. ViT models outperform the current state-of-the-art (CNN) by almost x4 in terms of computational efficiency and accuracy.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Natural Language Processing 52

Viso.ai

JUNE 12, 2024

provides a robust end-to-end computer vision infrastructure – Viso Suite. Our software helps several leading organizations start with computer vision and implement deep learning models efficiently with minimal overhead for various downstream tasks. About us : Viso.ai Get a demo here. Is this blog interesting?

Large Language Models 52

Large Language Models ChatGPT Neural Network Computer Vision 52

NVIDIA Developer

JUNE 2, 2021

And when designed correctly, developers can use these techniques to build powerful NLP applications that provide natural and seamless human-computer interactions within chatbots, AI voice agents, and more. Reducing training time and accelerating inference throughput pipelines on various H/W platforms like GPU-based Data Centers i.e

Natural Language Processing 40

Natural Language Processing Neural Network Deep Learning BERT 40

Topbots

OCTOBER 4, 2023

Masking in BERT architecture ( illustration by Misha Laskin ) Another common type of generative AI model are diffusion models for image and video generation and editing. For example, large language models (LLMs) are trained by randomly replacing some of the tokens in training data with a special token, such as [MASK].

Generative AI 119

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 119

Applied Data Science

JANUARY 4, 2022

Initially introduced for Natural Language Processing (NLP) applications like translation, this type of network was used in both Google’s BERT and OpenAI’s GPT-2 and GPT-3. Vision Transformer The Vision Transformer is Deepmind’s extension of Transformers to visual data. What makes the Transformer architecture special?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52

Snorkel AI

MARCH 8, 2023

The agenda today is to first learn how to build a unified foundation model, which is a unit paper from ICCV (International Conference on Computer Vision) 2021. By modalities I mean, specifically, NLP (natural language processing) or computer vision, and also the domains which require the combination of both of them.

NLP 52

NLP BERT Computer Vision Natural Language Processing 52

Snorkel AI

MARCH 8, 2023

The agenda today is to first learn how to build a unified foundation model, which is a unit paper from ICCV (International Conference on Computer Vision) 2021. By modalities I mean, specifically, NLP (natural language processing) or computer vision, and also the domains which require the combination of both of them.

NLP 52

NLP BERT Computer Vision Natural Language Processing 52

NVIDIA Developer

MAY 20, 2021

Using deep learning, computers can learn and recognize patterns from data that are considered too complex or subtle for expert-written software. In this workshop, you’ll learn how deep learning works through hands-on exercises in computer vision and natural language processing.

Natural Language Processing 40

Natural Language Processing Deep Learning Neural Network NLP 40

Snorkel AI

MARCH 19, 2024

Google’s thought leadership in AI is exemplified by its groundbreaking advancements in native multimodal support (Gemini), natural language processing (BERT, PaLM), computer vision (ImageNet), and deep learning (TensorFlow). Over time the way customers talk to the chatbot would drift.

Data Scientist 52

Data Scientist LLM Chatbots AI 52

Snorkel AI

MARCH 19, 2024

Google’s thought leadership in AI is exemplified by its groundbreaking advancements in native multimodal support (Gemini), natural language processing (BERT, PaLM), computer vision (ImageNet), and deep learning (TensorFlow). Over time the way customers talk to the chatbot would drift.

Data Scientist 52

Data Scientist Chatbots AI AI 52

Pragnakalp

JANUARY 1, 2024

From machine translation to natural language processing (NLP) to computer vision, plus audio and multi-modal processing, transformers have revolutionized the field with their ability to capture long-range dependencies and efficiently process sequential data.

Neural Network 52

Neural Network Natural Language Processing Convolutional Neural Networks NLP 52

Topbots

JULY 6, 2023

Like other large language models, including BERT and GPT-3, LaMDA is trained on terabytes of text data to learn how words relate to one another and then predict what words are likely to come next. GPT-4 lists the following: Natural language understanding and generation for chatbots and virtual assistants. How is the problem approached?

LLM 52

LLM Large Language Models Natural Language Processing NLP 52

Viso.ai

JANUARY 2, 2024

provides a robust enterprise platform Viso Suite to build and scale computer vision end-to-end with no-code tools. Viso Suite is the End-to-End Enterprise Computer Vision Platform. BERT, LaMDA, Claude 2, etc. Get a demo. What is Llama 2? Alternatives include ChatGPT 4.0,

Deep Learning 52

Deep Learning Large Language Models Computer Vision Neural Network 52

Applied Data Science

MARCH 11, 2022

It is no wonder then that the field of computer vision became a main driver of progress in AI. Language is an abundant resource: petabytes of human-produced data on the internet have been put to use to train huge language models such as GPT-3 and Google BERT. But generating images is a different task from classifying them.

Neural Network 52

Neural Network Data Science AI AI 52

Topbots

JUNE 15, 2023

In Findings of the Association for Computational Linguistics: ACL 2022 , pages 2340–2354, Dublin, Ireland. Association for Computational Linguistics. Are All Languages Created Equal in Multilingual BERT? Association for Computational Linguistics. Shijie Wu and Mark Dredze.

Natural Language Processing 59

Natural Language Processing Computational Linguistics NLP ChatGPT 59

AWS Machine Learning Blog

JANUARY 9, 2023

It can especially be handy in cases with NLP and computer vision, where there are large payloads that require longer preprocessing times. For example, a chatbot service or an application to process forms or analyze data from documents. He focuses on Deep learning including NLP and Computer Vision domains.

ML 87

ML Auto-complete Auto-classification Deep Learning 87

Topbots

JUNE 6, 2023

Autoencoding models, which are better suited for information extraction, distillation and other analytical tasks, are resting in the background — but let’s not forget that the initial LLM breakthrough in 2018 happened with BERT, an autoencoding model. We’ll let you know when we release more summary articles like this one.

LLM 105

LLM ChatGPT Prompt Engineer Prompt Engineering 105