AWS Machine Learning Blog

FEBRUARY 6, 2024

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.

Large Language Models 97

Large Language Models BERT NLP Data Scientist 97

John Snow Labs

NOVEMBER 6, 2023

Machine Learning (ML) has seen exponential growth in recent years. Enter MLFlow and LangTest: two tools that, when combined, create a revolutionary approach to ML development. On the other hand, LangTest has emerged as a transformative force in the realm of Natural Language Processing (NLP) and Large Language Model (LLM) evaluation.

ML 52

ML Natural Language Processing BERT Large Language Models 52

Marktechpost

JULY 16, 2023

The well-known large language models such as GPT, DALLE, and BERT perform extraordinary tasks and ease lives. Also, don’t forget to join our 18k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

Large Language Models 87

Large Language Models LLM Artificial Intelligence Artificial Intelligence 87

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. YouTube BERT Research — Ep.

Neural Network 52

Neural Network Large Language Models BERT Natural Language Processing 52

Marktechpost

JANUARY 20, 2024

Pseudo-labels from advanced cross-encoder models like BERT are one of the methods for generating synthetic data for domain adaptation of dense passage retrievers. The second phase utilizes synthetic queries generated by an LLM based on randomly sampled documents from the corpus. Check out the Paper and Github.

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BERT Large Language Models LLM AI 131

Marktechpost

JANUARY 4, 2024

The development of Large Language Models (LLMs), such as GPT and BERT, represents a remarkable leap in computational linguistics. Meet ‘Unicron,’ a novel system that Alibaba Group and Nanjing University researchers developed to enhance and streamline the LLM training process. Check out the Paper.

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Computational Linguistics Large Language Models LLM BERT 120

Marktechpost

NOVEMBER 22, 2023

An embedding similarity search looks at the embeddings of previously trained models (like BERT) to discover related and maybe polluted cases. In addition, there is a developing trend in model training that uses synthetic data generated by LLMs (e.g., However, its precision is somewhat low. It’s also found that GPT-3.5’s

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Large Language Models LLM BERT Explainability 122

Marktechpost

JULY 22, 2023

The well-known large language models such as GPT, DALLE, and BERT perform extraordinary tasks and ease lives. Recently, MLC-LLM has been introduced, which is an open framework that brings LLMs directly into a broad class of platforms like CUDA, Vulkan, and Metal that, too, with GPU acceleration.

LLM 52

LLM Large Language Models Natural Language Processing Artificial Intelligence 52

Mlearning.ai

APRIL 21, 2023

Even though traditional datasets are always in the form of a series of documents of either text files or word files, The problem with it is we can not feed it directly to LLM models as it requires data in a specific format. SQuAD is one of the formats that work well with many LLMs. Let's convert our raw data into SQuAD format.

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LLM Large Language Models Natural Language Processing Computer Vision 52

Marktechpost

MAY 13, 2024

The study demonstrated the effectiveness of this new method by applying it to several well-known models, including variations of Google’s BERT and OpenAI’s GPT series. This advancement is crucial as LLMs are increasingly used in various applications, from automated writing aids to sophisticated conversational agents.

Automation 89

Automation Computational Linguistics Large Language Models Natural Language Processing 89

Flipboard

JUNE 20, 2023

Machine learning (ML) engineers have traditionally focused on striking a balance between model training and deployment cost vs. performance. This is important because training ML models and then using the trained models to make predictions (inference) can be highly energy-intensive tasks.

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Machine Learning BERT Deep Learning ML Engineer 94

Marktechpost

JULY 24, 2023

Large Language Models (LLMs) have successfully proven to be the best innovation in the field of Artificial Intelligence. From BERT, PaLM, and GPT to LLaMa DALL-E, these models have shown incredible performance in understanding and generating language for the purpose of imitating humans. Check out the Paper. Check out the Paper.

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Large Language Models LLM BERT Artificial Intelligence 95

Marktechpost

MARCH 28, 2024

While BERT-style models often drop final layers, GPT-style models exhibit nuanced behavior. Deep studies on LLM properties corroborate the findings, highlighting the potential for layer pruning while underscoring layer-dependent knowledge storage. Model distillation offers an alternative size reduction method.

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BERT Machine Learning LLM Algorithm 133

Marktechpost

APRIL 6, 2024

Existing research includes models such as GPT-3 by OpenAI, renowned for its English text generation, and multilingual frameworks like mT5 and XLM-R, expanding LLM capabilities across languages. Codex further explores the integration of code generation within LLMs. Also, don’t forget to follow us on Twitter.

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Large Language Models BERT LLM OpenAI 102

Marktechpost

MARCH 27, 2024

and 86% accuracy, respectively, outperforming state-of-the-art baselines like BERT and RoBERTa. Next, AllHands utilizes LLMs to conduct abstractive topic modeling, generating human-readable topic labels that summarize the key aspects of each feedback instance. Also, don’t forget to follow us on Twitter.

Machine Learning 132

Machine Learning Large Language Models Software Development Natural Language Processing 132

Unite.AI

APRIL 25, 2024

Recent innovations include the integration and deployment of Large Language Models (LLMs), which have revolutionized various industries by unlocking new possibilities. More recently, LLM-based intelligent agents have shown remarkable capabilities, achieving human-like performance on a broad range of tasks. Let's dive in.

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LLM Large Language Models Software Development BERT 200

Marktechpost

SEPTEMBER 17, 2023

The Radiology-Llama2 LLM, tuned for radiology by instruction tuning to provide radiological impressions from results, fills this gap in the literature. Studies reveal that it outperforms standard LLMs regarding the produced impressions’ coherence, conciseness, and clinical usefulness. Check out the Paper.

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Large Language Models Natural Language Processing Computer Vision BERT 134

Marktechpost

MARCH 1, 2024

The prowess of Large Language Models (LLMs) such as GPT and BERT has been a game-changer, propelling advancements in machine understanding and generation of human-like text. Ouroboros represents a significant leap forward in addressing the longstanding challenge of LLM inference efficiency. Check out the Paper and Project.

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Large Language Models Artificial Intelligence Artificial Intelligence Natural Language Processing 105

Marktechpost

JULY 29, 2023

GPT 4, BERT, PaLM, etc. Benchmark is basically a collection of standardized tasks made to test language models’ (LLMs’) abilities. Benchmark is basically a collection of standardized tasks made to test language models’ (LLMs’) abilities. Check out the Paper , Github , and Project.

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Large Language Models BERT Natural Language Processing Artificial Intelligence 95

Marktechpost

JULY 3, 2023

The LLM consumes the text data during training and tries to anticipate the following word or series of words depending on the context. Language Translation – LLMs are able to accurately translate text between languages accurately, facilitating successful communication despite language hurdles.

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Large Language Models Natural Language Processing LLM BERT 98

Marktechpost

FEBRUARY 7, 2024

Four essential tasks in LLMs are natural language understanding, natural language generation, knowledge-intensive tasks, and reasoning ability. The evolving landscape includes diverse architectural strategies, such as models employing both encoders and decoders, encoder-only models like BERT, and decoder-only models like GPT-4.

Natural Language Processing 103

Natural Language Processing Large Language Models BERT NLP 103

John Snow Labs

JULY 5, 2023

With this support, you can look forward to faster inference, automatic optimization, and quantization when exporting your LLM models. Additionally, we are also set to release an array of new LLM models fine-tuned specifically for chat and instruction, now that we have successfully integrated ONNX Runtime into Spark NLP.

NLP 52

NLP BERT LLM Inference Engine 52

Marktechpost

AUGUST 3, 2023

First, they proposed an LLM-based approach to generate a music captioning dataset, LP-MusicCaps. Second, they proposed a systemic evaluation scheme for music captions generated by LLMs. The researchers compared this LLM-based caption generator with template-based methods (tag concatenation, prompt template ) and K2C augmentation.

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Data Scarcity Large Language Models BERT Natural Language Processing 52

Heartbeat

JANUARY 9, 2024

We must create new tools and best practices to manage the LLM application lifecycle to address these issues. " The LLMOps Steps LLMs, sophisticated artificial intelligence (AI) systems trained on enormous text and code datasets, have changed the game in various fields, from natural language processing to content generation.

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Large Language Models Natural Language Processing LLM Machine Learning 52

Flipboard

JULY 4, 2023

From education and finance to healthcare and media, LLMs are contributing to almost every domain. Famous LLMs like GPT, BERT, PaLM, and LLaMa are revolutionizing the AI industry by imitating humans. These embeddings are the condensed versions of the training data that are produced as part of the ML process.

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Large Language Models Machine Learning Natural Language Processing BERT 126

Mlearning.ai

JULY 24, 2023

In Generative AI projects, there are five distinct stages in the lifecycle, centred around a Large Language Model 1️⃣ Pre-training : This involves building an LLM from scratch. The likes of BERT, GPT4, Llama 2, have undergone pre-training on a large corpus of data. Prompt engineering is the simplest of phases in the LLM lifecycle.

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Generative AI Prompt Engineer Prompt Engineering Large Language Models 52

Marktechpost

JULY 1, 2023

Large Language Models (LLMs) have proven to be really effective in the fields of Natural Language Processing (NLP) and Natural Language Understanding (NLU). Famous LLMs like GPT, BERT, PaLM, etc., Being trained on massive amounts of datasets, these LLMs capture a vast amount of knowledge.

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Large Language Models Natural Language Processing BERT AI Tools 104

The MLOps Blog

FEBRUARY 15, 2024

Due to the rise of LLMs and the shift towards pre-trained models and prompt engineering, specialists in traditional NLP approaches are particularly at risk. Neither teams working on proof-of-concept projects nor production ML systems are immune from job cuts. Are LLMs entirely overtaking AI and natural language processing (NLP)?

NLP 59

NLP Natural Language Processing Data Scientist Software Engineer 59

Mlearning.ai

JUNE 7, 2023

In 2018 when BERT was introduced by Google, I cannot emphasize how much it changed the game within the NLP community. Photo by Kapa64 on PixelBay Following BERT, several models began to appear with their roots in BERT’s fundamental architecture. In retrospect, we were slightly ahead of our time because of what came next.

Natural Language Processing 52

Natural Language Processing BERT NLP ChatGPT 52

Heartbeat

OCTOBER 5, 2023

Unsurprisingly, Machine Learning (ML) has seen remarkable progress, revolutionizing industries and how we interact with technology. 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. Their mission?

Large Language Models 52

Large Language Models DevOps Prompt Engineer Prompt Engineering 52

Flipboard

JULY 10, 2023

Examples of LLMs include GPT-3 (Generative Pre-trained Transformer 3) and BERT (Bidirectional Encoder Representations from Transformers). LLMs are trained on massive amounts of data, often billions of words, to develop a broad understanding of language. Check out the Paper.

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Large Language Models Deep Learning Natural Language Processing BERT 65

AWS Machine Learning Blog

AUGUST 30, 2023

Generative AI is powered by machine learning (ML) models—very large models that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs). Our solution uses the FLAN-T5 XL FM, using Amazon SageMaker JumpStart , which is an ML hub offering algorithms, models, and ML solutions.

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Generative AI LLM AI AI 111

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

Mlearning.ai

JULY 8, 2023

The goal of this tutorial is to fine-tune a pre-trained BERT model to predict the next move in a chess game. Continue reading on MLearning.ai »

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BERT LLM ML Machine Learning 52

Marktechpost

JUNE 3, 2023

With the introduction of Large Language Models like GPT, BERT, and LLaMA, almost every industry, including healthcare, finance, E-commerce, and media, is making use of these models for tasks like Natural Language Understanding (NLU), Natural Language Generation (NLG), question answering, programming, information retrieval and so on.

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Large Language Models BERT Artificial Intelligence Artificial Intelligence 96

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

John Snow Labs

SEPTEMBER 26, 2023

to be precise) of data scientists and engineers plan to deploy Large Language Model (LLM) applications into production in the next 12 months or “as soon as possible.” of data science teams have implemented LLM applications currently in use by their own or client companies. According to the data collected by Forbes , over a half (53.3%

NLP 52

NLP Large Language Models LLM Data Scientist 52