Marktechpost

APRIL 21, 2024

Transformer Models and BERT Model : In this course, participants delve into the specifics of Transformer models and the Bidirectional Encoder Representations from Transformers (BERT) model. Introduction to Large Language Models: This module explores Large Language Models (LLMs) and their applications.

Artificial Intelligence 129

Artificial Intelligence Artificial Intelligence BERT Large Language Models 129

Marktechpost

APRIL 6, 2024

Transformers have transformed the field of NLP over the last few years, with LLMs like OpenAI’s GPT series, BERT, and Claude Series, etc. Let’s delve into the role of transformers in NLP and elucidate the process of training LLMs using this innovative architecture.

Large Language Models 120

Large Language Models NLP Convolutional Neural Networks Neural Network 120

Unite.AI

DECEMBER 1, 2023

The Scale and Complexity of LLMs The scale of these models adds to their complexity. Each parameter interacts in intricate ways within the neural network, contributing to emergent capabilities that aren’t predictable by examining individual components alone. Impact of the LLM Black Box Problem 1.

LLM 264

LLM Machine Learning Explainability Algorithm 264

Mlearning.ai

JUNE 14, 2023

Learning Large Language Models The LLM (Foundational Models) space has seen tremendous and rapid growth. I used this foolproof method of consuming the right information and ended up publishing books , artworks , Podcasts and even an LLM powered consumer facing app ranked #40 on the app store. Transformer Neural Networks — EXPLAINED!

Neural Network 52

Neural Network Large Language Models BERT Natural Language Processing 52

Unite.AI

DECEMBER 4, 2023

GPT 3 and similar Large Language Models (LLM) , such as BERT , famous for its bidirectional context understanding, T-5 with its text-to-text approach, and XLNet , which combines autoregressive and autoencoding models, have all played pivotal roles in transforming the Natural Language Processing (NLP) paradigm.

Large Language Models 217

Large Language Models BERT Neural Network Natural Language Processing 217

Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries. LLMs utilize embeddings to understand word context.

Large Language Models 130

Large Language Models Prompt Engineer Prompt Engineering LLM 130

John Snow Labs

JUNE 27, 2023

At their core, LLMs are built upon deep neural networks, enabling them to process vast amounts of text and learn complex patterns. Instead of navigating complex menus or waiting on hold, they can engage in a conversation with a chatbot powered by an LLM.

Large Language Models 52

Large Language Models BERT Natural Language Processing NLP 52

AWS Machine Learning Blog

FEBRUARY 6, 2024

Transformers, BERT, and GPT The transformer architecture is a neural network architecture that is used for natural language processing (NLP) tasks. BERT is trained on sequences where some of the words in a sentence are masked, and it has to fill in those words taking into account both the words before and after the masked words.

Large Language Models 97

Large Language Models BERT NLP Data Scientist 97

Marktechpost

JULY 3, 2023

The underlying architecture of LLMs typically involves a deep neural network with multiple layers. Based on the discovered patterns and connections found in the training data, this network analyses the input text and produces predictions. Selecting the appropriate model architecture is essential for training an LLM.

Large Language Models 98

Large Language Models Natural Language Processing LLM BERT 98

Unite.AI

AUGUST 28, 2023

Neural Networks & Deep Learning : Neural networks marked a turning point, mimicking human brain functions and evolving through experience. Systems like ChatGPT by OpenAI, BERT, and T5 have enabled breakthroughs in human-AI communication.

Auto-complete 240

Auto-complete ChatGPT Large Language Models AI 240

Marktechpost

JULY 4, 2023

Unigrams, N-grams, exponential, and neural networks are valid forms for the Language Model. Applications of LLMs The chart below summarises the present state of the Large Language Model (LLM) landscape in terms of features, products, and supporting software. It is pre-trained using a generalized autoregressive model.

Large Language Models 102

Large Language Models BERT Natural Language Processing Categorization 102

ODSC - Open Data Science

JANUARY 29, 2024

Fine-tuning is important for applying domain-specific knowledge to an existing LLM which provides better performance and prompt results Inference Efficiency An emergent skill in late 2023, its inclusion speaks to its importance. This enhances the context awareness and factual accuracy of LLM outputs.

Prompt Engineer 52

Prompt Engineer Prompt Engineering LLM Data Science 52

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. It addresses how input prompts function within language models like ChatGPT.

Prompt Engineer 272

Prompt Engineer Prompt Engineering Large Language Models Generative AI 272

Topbots

OCTOBER 4, 2023

Image processing : Predictive image processing models, such as convolutional neural networks (CNNs), can classify images into predefined labels (e.g., 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.

Generative AI 118

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 118

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. It has become the backbone of many successful language models, like GPT-3, BERT, and their variants.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering OpenAI 52

AWS Machine Learning Blog

APRIL 3, 2024

The following is a high-level overview of how it works conceptually: Separate encoders – These models have separate encoders for each modality—a text encoder for text (for example, BERT or RoBERTa), image encoder for images (for example, CNN for images), and audio encoders for audio (for example, models like Wav2Vec).

Machine Learning 100

Machine Learning Generative AI Metadata ML 100

AWS Machine Learning Blog

AUGUST 30, 2023

Recent advancements in ML (specifically the invention of the transformer-based neural network architecture) have led to the rise of models that contain billions of parameters or variables. Create an S3 bucket Create an S3 bucket called llm-radiology-bucket to host the training and evaluation datasets.

Generative AI 111

Generative AI LLM AI AI 111

AssemblyAI

MAY 3, 2023

These architectures are based on artificial neural networks , which are computational models loosely inspired by the structure and functioning of biological neural networks, such as those in the human brain. A simple artificial neural network consisting of three layers.

Large Language Models 363

Large Language Models Neural Network LLM Chatbots 363

Unite.AI

AUGUST 1, 2023

Prompt 1 : “Tell me about Convolutional Neural Networks.” ” Response 1 : “Convolutional Neural Networks (CNNs) are multi-layer perceptron networks that consist of fully connected layers and pooling layers. They are commonly used in image recognition tasks. .”

Prompt Engineer 246

Prompt Engineer Prompt Engineering ChatGPT Convolutional Neural Networks 246

Unite.AI

NOVEMBER 7, 2023

Furthermore, empirically enumerating all the possible designs for training LLMs over 100B parameters is computationally unaffordable which makes it even more critical to come up with a pre-training method for large scale LLM frameworks. With that being said, let’s have a look at GLM-130B’s architecture.

LLM 258

LLM Large Language Models Neural Network BERT 258

AssemblyAI

MAY 23, 2023

Neural Networks and Transformers What determines a language model's effectiveness? The performance of LMs in various tasks is significantly influenced by the size of their architectures, which are based on artificial neural networks. A simple artificial neural network with three layers.

Large Language Models 130

Large Language Models Neural Network LLM Chatbots 130

Snorkel AI

MAY 25, 2023

Since the public unveiling of ChatGPT, large language models (or LLMs) have had a cultural moment. The potential of these enormous neural networks has both excited and frightened the public; the same technology that promises to help you digest long email chains also threatens to dethrone the essay as the default classroom assignment.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

Since the public unveiling of ChatGPT, large language models (or LLMs) have had a cultural moment. The potential of these enormous neural networks has both excited and frightened the public; the same technology that promises to help you digest long email chains also threatens to dethrone the essay as the default classroom assignment.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Unite.AI

APRIL 15, 2024

RAG is a technique that extends the knowledge and capabilities of large language models (LLMs) by providing them with access to external information sources, such as databases or document collections.

BERT 162

BERT Large Language Models Natural Language Processing NLP 162

AssemblyAI

SEPTEMBER 18, 2023

Below, we'll give you the basic know-how you need to understand LLMs, how they work, and the best models in 2023. A large language model (often abbreviated as LLM) is a machine-learning model designed to understand, generate, and interact with human language. LLMs are built upon deep learning, a subset of machine learning.

Large Language Models 130

Large Language Models BERT LLM Auto-complete 130

AWS Machine Learning Blog

APRIL 25, 2024

It uses BERT, a popular NLP technique, to understand the meaning and context of words in the candidate summary and reference summary. The more similar the words and meanings captured by BERT, the higher the BERTScore. It uses neural networks like BERT to measure semantic similarity beyond just exact word or phrase matching.

BERT 108

BERT NLP Algorithm Neural Network 108

Pragnakalp

JANUARY 1, 2024

What distinguishes Mistral 7B from other LLM is that it is smaller in size but packs a punch with its incredible abilities, performing remarkably well in various tasks. If you wish to deploy the Mistral AI LLM on your infrastructure or system, they have published these models on the Hugging Face Models platform. billion parameters.

Natural Language Processing 52

Natural Language Processing Neural Network Convolutional Neural Networks LLM 52

Topbots

JULY 6, 2023

LaMDA is built on Transformer , a neural network architecture that Google Research invented and open-sourced in 2017. 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.

LLM 52

LLM Large Language Models Natural Language Processing OpenAI 52

IBM Journey to AI blog

AUGUST 1, 2023

A foundation model is built on a neural network model architecture to process information much like the human brain does. A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks. An open-source model, Google created BERT in 2018.

Generative AI 151

Generative AI Data Scientist BERT Machine Learning 151

Unite.AI

APRIL 2, 2024

Many frameworks employ a generic neural network for a wide range of image restoration tasks, but these networks are each trained separately. These deep learning image restoration models propose to use neural networks based on Transformers and Convolutional Neural Networks.

Computer Vision 130

Computer Vision Neural Network Convolutional Neural Networks Deep Learning 130

Mlearning.ai

JUNE 8, 2023

Hidden secret to empower semantic search This is the third article of building LLM-powered AI applications series. From the previous article , we know that in order to provide context to LLM, we need semantic search and complex query to find relevant context (traditional keyword search, full-text search won’t be enough).

Machine Learning 52

Machine Learning BERT Neural Network OpenAI 52

AssemblyAI

JUNE 27, 2023

Deep Neural Networks (DNNs) have proven to be exceptionally adept at processing highly complicated modalities like these, so it is unsurprising that they have revolutionized the way we approach audio data modeling. At its core, it's an end-to-end neural network-based approach. The EnCodec architecture ( source ).

Generative AI 298

Generative AI AI AI BERT 298

Heartbeat

MAY 29, 2023

LLMs like GPT-3 and T5 have already shown promising results in various NLP tasks such as language translation, question-answering, and summarization. However, LLMs are complex, and training and improving them require specific skills and knowledge. LLMs rely on vast amounts of text data to learn patterns and generate coherent text.

Large Language Models 78

Large Language Models LLM Machine Learning Natural Language Processing 78

AWS Machine Learning Blog

JUNE 7, 2023

We present scaling results for an encoder-type transformer model (BERT with 340 million to 1.5 As a result, we achieved pre-training (phase 1) model convergence within 16 hours (our target was to train a large model within a day) for the BERT 1.5-billion-parameter All these features are enabled on the BERT 1.5B 2 16 2,705.57

Large Language Models 67

Large Language Models BERT Deep Learning Neural Network 67

Snorkel AI

MARCH 1, 2023

Model architectures that qualify as “supervised learning”—from traditional regression models to random forests to most neural networks—require labeled data for training. 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

Bugra Akyildiz

AUGUST 19, 2023

This mechanism uses a neural network to predict the number of tape tokens that are needed for each input. Llama and Llama-v2 : general LLM. Falcon : general LLM. Bert : useful for sentence embeddings. StarCoder : LLM specialized to code generation. Examples: Whisper : speech recognition model.

Automation 52

Automation LLM Neural Network Machine Learning 52

Mlearning.ai

JANUARY 17, 2024

Major milestones in the last few years comprised BERT (Google, 2018), GPT-3 (OpenAI, 2020), Dall-E (OpenAI, 2021), Stable Diffusion (Stability AI, LMU Munich, 2022), ChatGPT (OpenAI, 2022). Complex ML problems can only be solved in neural networks with many layers. Deep learning neural network.

Generative AI 98

Generative AI Prompt Engineer Prompt Engineering Large Language Models 98