AssemblyAI

JUNE 27, 2023

Today, we can train deep learning algorithms that can automatically extract and represent information contained in audio signals, if trained with enough data. Traditional machine learning feature-based pipeline vs. end-to-end deep learning approach ( source ).

Generative AI 298

Generative AI BERT Neural Network AI 298

AssemblyAI

MAY 3, 2023

In the past months, an exquisitely human-centric approach called Reinforcement Learning from Human Feedback (RLHF) has rapidly emerged as a tour de force in the realm of AI alignment. This process of adapting pre-trained models to new tasks or domains is an example of Transfer Learning , a fundamental concept in modern deep learning.

Large Language Models 363

Large Language Models Neural Network LLM ChatGPT 363

Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. These AI agents, transcending chatbots and voice assistants, are shaping a new paradigm for both industries and our daily lives.

Auto-complete 240

Auto-complete ChatGPT Large Language Models Neural Network 240

Flipboard

JUNE 20, 2023

We present the results of recent performance and power draw experiments conducted by AWS that quantify the energy efficiency benefits you can expect when migrating your deep learning workloads from other inference- and training-optimized accelerated Amazon Elastic Compute Cloud (Amazon EC2) instances to AWS Inferentia and AWS Trainium.

Machine Learning 123

Machine Learning BERT Deep Learning ML Engineer 123

Chatbots Life

AUGUST 23, 2024

Large Language Models have emerged as the central component of modern chatbots and conversational AI in the fast-paced world of technology. The use cases of LLM for chatbots and LLM for conversational AI can be seen across all industries like FinTech, eCommerce, healthcare, cybersecurity, and the list goes on.

Conversational AI 72

Conversational AI Chatbots Large Language Models LLM 72

Marktechpost

MARCH 25, 2024

Large Language Models (LLMs) like ChatGPT, Google’s Bert, Gemini, Claude Models, and others have emerged as central figures, redefining our interaction with digital interfaces. These models use deep learning techniques, particularly neural networks, to process and produce text that mimics human-like understanding and responses.

ChatGPT 131

ChatGPT Neural Network Large Language Models BERT 131

ODSC - Open Data Science

FEBRUARY 17, 2023

Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others. Machine & Deep Learning Machine learning is the fundamental data science skillset, and deep learning is the foundation for NLP.

NLP 111

NLP Data Science Deep Learning BERT 111

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 Engineering 122

Unite.AI

FEBRUARY 23, 2024

The journey continues with “NLP and Deep Learning,” diving into the essentials of Natural Language Processing , deep learning's role in NLP, and foundational concepts of neural networks. Visual aids and examples accompany each concept, ensuring an engaging and contextual learning experience.

Prompt Engineering 272

Prompt Engineering Prompt Engineer Large Language Models ChatGPT 272

Artificial Corner

JULY 30, 2023

Photo by Shubham Dhage on Unsplash Introduction Large language Models (LLMs) are a subset of Deep Learning. Some Terminologies related to Artificial Intelligence (Ai) Deep Learning is a technique used in artificial intelligence (AI) that teaches computers to interpret data in a manner modeled after the human brain.

Large Language Models 98

Large Language Models LLM Natural Language Processing Deep Learning 98

AssemblyAI

SEPTEMBER 18, 2023

LLMs leverage deep learning architectures to process and understand the nuances and context of human language. From chatbots that provide human-like interactions to tools that can draft articles or assist in creative writing, LLMs have expanded the horizons of what's possible with AI-driven language tasks.

Large Language Models 130

Large Language Models BERT Auto-complete LLM 130

Marktechpost

JULY 4, 2023

Chatbot/support agent assist Tools like LaMDA, Rasa, Cohere, Forethought, and Cresta can be used to power chatbots or enhance the productivity of customer care personnel. Few-shot learning is similar to training and fine-tuning any deep learning model but requires fewer samples.

Large Language Models 103

Large Language Models BERT Natural Language Processing Categorization 103

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.

Neural Network 55

Neural Network Large Language Models Robotics BERT 55

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. These deep learning-based models demonstrate impressive accuracy and fluency while processing and comprehending natural language.

Large Language Models 98

Large Language Models Natural Language Processing LLM BERT 98

Marktechpost

JULY 5, 2023

ChatGPT, the latest chatbot developed by OpenAI, has been in the headlines ever since its release. Large Language Models like GPT, BERT, PaLM, and LLaMa have successfully contributed to the advancement in the field of Artificial Intelligence.

Large Language Models 107

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 107

John Snow Labs

JUNE 27, 2023

Instead of navigating complex menus or waiting on hold, they can engage in a conversation with a chatbot powered by an LLM. 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

Topbots

APRIL 11, 2023

We’ll start with a seminal BERT model from 2018 and finish with this year’s latest breakthroughs like LLaMA by Meta AI and GPT-4 by OpenAI. BERT by Google Summary In 2018, the Google AI team introduced a new cutting-edge model for Natural Language Processing (NLP) – BERT , or B idirectional E ncoder R epresentations from T ransformers.

NLP 98

NLP BERT Large Language Models Natural Language Processing 98

Unite.AI

JANUARY 23, 2024

From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries. LLMs are a class of deep learning models that are pretrained on massive text corpora, allowing them to generate human-like text and understand natural language at an unprecedented level.

Large Language Models 100

Large Language Models Prompt Engineering Prompt Engineer LLM 100

Unite.AI

SEPTEMBER 13, 2024

This is a crucial advancement in real-time applications such as chatbots, recommendation systems, and autonomous systems that require quick responses. These techniques allow TensorRT-LLM to optimize inference performance for deep learning tasks such as natural language processing, recommendation engines, and real-time video analytics.

Large Language Models 130

Large Language Models LLM Natural Language Processing Auto-complete 130

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. search engines, chatbots or copilots) and then evaluate the results.

LLM 52

LLM Large Language Models BERT Python 52

AssemblyAI

SEPTEMBER 22, 2023

Long-term coherence (semantic modeling) tokens :  A second component based on w2v-BERT , generates 25 semantic tokens per second that represent features of large-scale composition , such as motifs, or consistency in the timbres. It was pre-trained to generate masked tokens in speech and fine-tuned on 8,200 hours of music.

Convolutional Neural Networks 246

Convolutional Neural Networks AI AI Data Scarcity 246

AssemblyAI

MAY 23, 2023

This trend started with models like the original GPT and ELMo, which had millions of parameters, and progressed to models like BERT and GPT-2, with hundreds of millions of parameters. Mass propaganda via coordinated networks of chatbots on social media platforms, aiming at distorting public discourse. months on average.

Large Language Models 130

Large Language Models Neural Network LLM Chatbots 130

AWS Machine Learning Blog

JUNE 12, 2023

Transformer neural networks A transformer neural network is a popular deep learning architecture to solve sequence-to-sequence tasks. It uses attention as the learning mechanism to achieve close to human-level performance. Transformers use the concept of pre-training to gain intelligence from large datasets.

Deep Learning 84

Deep Learning Auto-classification Computer Vision Machine Learning 84

John Snow Labs

MAY 26, 2023

Sentence embeddings with Transformers are a powerful natural language processing (NLP) technique that use deep learning models known as Transformers to encode sentences into fixed-length vectors that can be used for a variety of NLP tasks. NLP has various applications, such as chatbots and sentiment analysis.

NLP 52

NLP BERT Natural Language Processing Deep Learning 52

Viso.ai

JULY 9, 2024

Efficient, quick, and cost-effective learning processes are crucial for scaling these models. Transfer Learning is a key technique implemented by researchers and ML scientists to enhance efficiency and reduce costs in Deep learning and Natural Language Processing. Why do we need transfer learning?

Neural Network 52

Neural Network BERT Deep Learning 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. Fundamental understanding of a deep learning framework such as TensorFlow, PyTorch, or Keras.

Natural Language Processing 40

Natural Language Processing Neural Network Deep Learning BERT 40

Pickl AI

DECEMBER 26, 2024

For instance, the word bank is interpreted differently in river bank and financial bank, thanks to context-aware models like BERT. Each document undergoes a preprocessing pipeline where textual content is cleaned, tokenised, and transformed into embeddings using models like BERT or Sentence Transformers.

BERT 52

BERT Natural Language Processing Machine Learning NLP 52

Pickl AI

FEBRUARY 14, 2023

Significantly, by leveraging technologies like deep learning and proprietary algorithms for analytics, Artivatic.ai Arya.ai One of the growing AI companies in India, Arya.ai, deploys Deep Learning solutions for the BFSI sector. Bert Labs Pvt. Artivatic.ai Artivatic.ai Accordingly, Beatoven.ai

BERT 52

BERT Artificial Intelligence Artificial Intelligence Deep Learning 52

ODSC - Open Data Science

SEPTEMBER 18, 2023

A lot goes into learning a new skill, regardless of how in-depth it is. Getting started with natural language processing (NLP) is no exception, as you need to be savvy in machine learning, deep learning, language, and more.

NLP 52

NLP Neural Network Deep Learning Large Language Models 52

Heartbeat

AUGUST 2, 2023

Introduction to LLMs LLM in the sphere of AI Large language models (often abbreviated as LLMs) refer to a type of artificial intelligence (AI) model typically based on deep learning architectures known as transformers. Large language models, such as GPT-3 (Generative Pre-trained Transformer 3), BERT, XLNet, and Transformer-XL, etc.,

Large Language Models 52

Large Language Models Prompt Engineering Prompt Engineer ChatGPT 52

Topbots

OCTOBER 4, 2023

They can be based on basic machine learning models like linear regression, logistic regression, decision trees, and random forests. In some cases, deep learning algorithms and reinforcement learning demonstrate exceptional performance for predictive AI tasks thanks to their ability to learn complex patterns in data.

Generative AI 119

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 119

Pickl AI

NOVEMBER 13, 2024

Advancements in Machine Learning The evolution of Machine Learning algorithms, particularly Deep Learning techniques, has significantly enhanced the capabilities of Generative AI. BERT’s architecture allows it to consider the context of words bidirectionally, improving its understanding of language nuances.

Generative AI 52

Generative AI BERT AI AI 52

NVIDIA Developer

MAY 20, 2021

Deep learning is a powerful AI approach that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy in tasks such as object detection, speech recognition, and language translation. You’ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results.

Natural Language Processing 40

Natural Language Processing Deep Learning Neural Network NLP 40

Heartbeat

MAY 29, 2023

This technique is commonly used in neural network-based models such as BERT, where it helps to handle out-of-vocabulary words. Other LLM architectures, such as BERT, XLNet, and RoBERTa, are also popular and have been shown to perform well on specific NLP tasks, such as text classification, sentiment analysis, and question-answering.

Large Language Models 78

Large Language Models Machine Learning LLM Natural Language Processing 78

Mlearning.ai

JUNE 8, 2023

A few embeddings for different data type For text data, models such as Word2Vec , GLoVE , and BERT transform words, sentences, or paragraphs into vector embeddings. However, it was not designed for transfer learning and needs to be trained for specific tasks using a separate model. What are Vector Embeddings?

Machine Learning 52

Machine Learning BERT Neural Network OpenAI 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

Together, these elements lead to the start of a period of dramatic progress in ML, with NN being redubbed deep learning. In 2017, the landmark paper “ Attention is all you need ” was published, which laid out a new deep learning architecture based on the transformer.

ML 101

ML Deep Learning Algorithm Large Language Models 101

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. Source Self-supervision Self-supervision is a deep learning technique that could compete with Transformers for the most influential discovery of the past years.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52