Snorkel AI

MARCH 26, 2025

LLM-as-Judge has emerged as a powerful tool for evaluating and validating the outputs of generative models. LLMs (and, therefore, LLM judges) inherit biases from their training data. In this article, well explore how enterprises can leverage LLM-as-Judge effectively , overcome its limitations, and implement best practices.

LLM 52

LLM Data Scientist Prompt Engineer Prompt Engineering 52

Marktechpost

APRIL 25, 2024

In this article, we delve into 25 essential terms to enhance your technical vocabulary and provide insights into the mechanisms that make LLMs so transformative. Heatmap representing the relative importance of terms in the context of LLMs Source: marktechpost.com 1.

Large Language Models 128

Large Language Models LLM Neural Network Natural Language Processing 128

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. .”

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Prompt Engineering Prompt Engineer ChatGPT Convolutional Neural Networks 246

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.

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LLM Machine Learning Explainability Algorithm 261

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.

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Large Language Models BERT Neural Network Natural Language Processing 215

Unite.AI

SEPTEMBER 13, 2024

As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever. NVIDIA's TensorRT-LLM steps in to address this challenge by providing a set of powerful tools and optimizations specifically designed for LLM inference.

Large Language Models 130

Large Language Models LLM Natural Language Processing Auto-complete 130

Marktechpost

JULY 19, 2024

Traditional text-to-SQL systems using deep neural networks and human engineering have succeeded. The LLMs have demonstrated the ability to execute a solid vanilla implementation thanks to the improved semantic parsing capabilities made possible by the larger training corpus. Join our Telegram Channel and LinkedIn Gr oup.

LLM 103

LLM Neural Network Large Language Models Natural Language Processing 103

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.

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LLM Large Language Models Neural Network BERT 254

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.

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Artificial Intelligence Artificial Intelligence BERT Large Language Models 137

Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. No training examples are needed in LLM Development but it’s needed in Traditional Development.

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Large Language Models LLM Natural Language Processing Deep Learning 98

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 BERT Neural Network Deep Learning 298

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. LLM is an AI system designed to understand, generate, and work with human language on a large scale. What are Large Language Models?

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ChatGPT Neural Network Large Language Models BERT 131

Marktechpost

MAY 30, 2024

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. It covers how to develop NLP projects using neural networks with Vertex AI and TensorFlow. It includes lessons on vector search and text embeddings, practical demos, and a hands-on lab.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence BERT Computer Vision 130

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.

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Generative AI Data Scientist BERT Machine Learning 176

Marktechpost

JULY 22, 2024

” These limitations have spurred researchers to explore innovative solutions that can enhance LLM performance without the need for extensive retraining. Transformer architecture has emerged as a major leap in natural language processing, significantly outperforming earlier recurrent neural networks.

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Large Language Models Neural Network Natural Language Processing LLM 124

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 Neural Network 240

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.

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Large Language Models NLP Convolutional Neural Networks Neural Network 120

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.

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BERT Large Language Models Natural Language Processing NLP 157

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 Auto-complete LLM 130

Unite.AI

JUNE 20, 2024

Large Language Models (LLMs) are a type of neural network model trained on vast amounts of text data. Some popular examples of LLMs include GPT (Generative Pre-trained Transformer), BERT (Bidirectional Encoder Representations from Transformers), and XLNet. Why Kubernetes for LLM Deployment?

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Large Language Models LLM Metadata BERT 130

TheSequence

NOVEMBER 24, 2024

Created Using Midjourney Next Week in The Sequence: Edge 451: Explores the ideas behind multi-teacher distillation including the MT-BERT paper. It also covers the Portkey framework for LLM guardrailing. Judge Arena Hugging Face released JudgeArena, a platform for benchmarking LLM-as-a-Judge models —> Read more.

Neural Network 52

Neural Network BERT Large Language Models LLM 52

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

Unite.AI

JUNE 21, 2024

Models such as GPT, BERT , and more recently Llama , Mistral are capable of understanding and generating human-like text with unprecedented fluency and coherence. NVIDIA TensorRT , a high-performance deep learning inference optimizer and runtime, plays a vital role in accelerating LLM inference on CUDA-enabled GPUs.

Deep Learning 130

Deep Learning Neural Network Convolutional Neural Networks Large Language Models 130

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.

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Large Language Models BERT NLP Data Scientist 113

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.

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Large Language Models Prompt Engineer Prompt Engineering LLM 100

Marktechpost

JANUARY 9, 2024

After that, these embeddings are processed by a thick neural network with three sub-blocks and a 1D convolutional layer. link] BLEU, METEOR, ROUGE-L, and BERT-Score are the main text generation measures used to assess MU-LLaMA’s performance.

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Large Language Models Neural Network BERT LLM 110

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

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.

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Prompt Engineering Prompt Engineer Large Language Models ChatGPT 267

AWS Machine Learning Blog

JUNE 18, 2024

Traditional neural network models like RNNs and LSTMs and more modern transformer-based models like BERT for NER require costly fine-tuning on labeled data for every custom entity type. Amazon Bedrock – Calls an LLM to identify entities of interest from the given context.

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Large Language Models Natural Language Processing LLM Computer Vision 117

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.

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Large Language Models BERT Natural Language Processing Categorization 103

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 BERT Large Language Models Natural Language Processing 52

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

Marek Rei

NOVEMBER 4, 2024

link] The paper investigates LLM robustness to prompt perturbations, measuring how much task performance drops for different models with different attacks. link] The paper proposes query rewriting as the solution to the problem of LLMs being overly affected by irrelevant information in the prompts. ArXiv 2023. Oliveira, Lei Li.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

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

Snorkel AI

FEBRUARY 13, 2024

Large language model distillation isolates LLM performance on a specific task and mirrors its functionality in a smaller format. LLM distillation basics Multi-billion parameter language models pre-trained on millions of documents have changed the world. What is LLM distillation? How does LLM distillation work?

LLM 52

LLM Data Scientist Neural Network Data Science 52

Snorkel AI

FEBRUARY 13, 2024

Large language model distillation isolates LLM performance on a specific task and mirrors its functionality in a smaller format. LLM distillation basics Multi-billion parameter language models pre-trained on millions of documents have changed the world. What is LLM distillation? How does LLM distillation work?

LLM 52

LLM Data Scientist Neural Network Data Science 52

AWS Machine Learning Blog

SEPTEMBER 16, 2024

In this post, we adopt a pre-trained genomic LLMs for gRNA efficiency prediction. The idea is to treat a computer designed gRNA as a sentence, and fine-tune the LLM to perform sentence-level regression tasks analogous to sentiment analysis. The backbone is a BERT architecture made up of 12 encoding layers.

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Natural Language Processing Large Language Models BERT Neural Network 111