John Snow Labs

APRIL 18, 2024

Specifically, our aim is to facilitate standardized categorization for enhanced medical data analysis and interpretation. Spark NLP & LLM The Healthcare Library is a powerful component of John Snow Labs’ Spark NLP platform, designed to facilitate NLP tasks within the healthcare domain. In the latest release, v5.3.0,

NLP 40

NLP BERT Categorization Automation 40

Unite.AI

AUGUST 28, 2023

Systems like ChatGPT by OpenAI, BERT, and T5 have enabled breakthroughs in human-AI communication. link] The process can be categorized into three agents: Execution Agent : The heart of the system, this agent leverages OpenAI’s API for task processing.

Auto-complete 240

Auto-complete ChatGPT Large Language Models AI 240

Becoming Human

MARCH 12, 2024

By extracting information, identifying patterns, and categorizing content within minutes, these tools enhance efficiency for legal professionals. By creating custom LLM-based applications using clients’ proprietary legal data, ZBrain optimizes legal research workflows, ensuring operational efficiency and delivering improved legal insights.

Automation 105

Automation Artificial Intelligence Artificial Intelligence NLP 105

Mlearning.ai

OCTOBER 2, 2023

It also serves as a powerful lever for refining the abilities of LLMs. Famous models like BERT and others, begin their journey with initial training on massive datasets encompassing vast swaths of internet text. So as you can see above in the picture the taxonomy can be broadly categorized into: 1.

Large Language Models 98

Large Language Models BERT Categorization LLM 98

Snorkel AI

AUGUST 24, 2023

AI is accelerating complaint resolution for banks AI can help banks automate many of the tasks involved in complaint handling, such as: Identifying, categorizing, and prioritizing complaints. For businesses to get the greatest value out of an LLM, they need to customize it with their proprietary data—something Snorkel can help with.

Large Language Models 52

Large Language Models AI AI Natural Language Processing 52

Snorkel AI

AUGUST 24, 2023

AI is accelerating complaint resolution for banks AI can help banks automate many of the tasks involved in complaint handling, such as: Identifying, categorizing, and prioritizing complaints. For businesses to get the greatest value out of an LLM, they need to customize it with their proprietary data—something Snorkel can help with.

Large Language Models 52

Large Language Models AI AI Natural Language Processing 52

Snorkel AI

AUGUST 24, 2023

AI is accelerating complaint resolution for banks AI can help banks automate many of the tasks involved in complaint handling, such as: Identifying, categorizing, and prioritizing complaints. For businesses to get the greatest value out of an LLM, they need to customize it with their proprietary data—something Snorkel can help with.

Large Language Models 52

Large Language Models AI AI Natural Language Processing 52

John Snow Labs

APRIL 22, 2024

Spark NLP & LLM The Healthcare Library is a powerful component of John Snow Labs’ Spark NLP platform, designed to facilitate NLP tasks within the healthcare domain. When applied to new unlabeled files, the models can categorize them at high accuracy. setInputCol("text").setOutputCol("document")

NLP 64

NLP Categorization Natural Language Processing BERT 64

Dlabs.ai

NOVEMBER 2, 2023

Case study: Creating an LLM-based application using LLM-based tools To best illustrate how LLM-based tools can be used, let me use a real-life example. We tried Vectara, an LLM-based platform for search. BERT), GPT is a generative model. Step 5: LLM customization 5.1. But why settle on GPT?

LLM 52

LLM ChatGPT Artificial Intelligence Artificial Intelligence 52

Topbots

OCTOBER 4, 2023

Here are a few examples across various domains: Natural Language Processing (NLP) : Predictive NLP models can categorize text into predefined classes (e.g., 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 118

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 118

Explosion

MAY 17, 2023

We want to aggregate it, link it, filter it, categorize it, generate it and correct it. I don’t want to undersell how impactful LLMs are for this sort of use-case. You can give an LLM a group of comments and ask it to summarize the texts or identify key themes. You can’t pass that straight into an LLM — it’s much too expensive.

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LLM NLP Large Language Models OpenAI 135

Unite.AI

JANUARY 11, 2024

More recent methods based on pre-trained language models like BERT obtain much better context-aware embeddings. Existing methods predominantly use smaller BERT-style architectures as the backbone model. They are unable to take advantage of more advanced LLMs and related techniques. Adding it provided negligible improvements.

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Large Language Models Prompt Engineer Prompt Engineering BERT 147

Snorkel AI

MAY 25, 2023

At inference time, users provide “prompts” to the LLM—snippets of text that the model uses as a jumping-off point. BERT, the first breakout large language model In 2019, a team of researchers at Goole introduced BERT (which stands for bidirectional encoder representations from transformers). The new tool caused a stir.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

At inference time, users provide “prompts” to the LLM—snippets of text that the model uses as a jumping-off point. BERT, the first breakout large language model In 2019, a team of researchers at Goole introduced BERT (which stands for bidirectional encoder representations from transformers). The new tool caused a stir.

Large Language Models 52

Large Language Models BERT Neural Network LLM 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. The second pre-training stage performs vision-to-language generative learning by connecting the output of the Q-Former to a frozen LLM.

LLM 52

LLM Large Language Models Natural Language Processing OpenAI 52

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.

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BERT NLP Algorithm Neural Network 105

IBM Journey to AI blog

AUGUST 1, 2023

A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks. BERT (Bi-directional Encoder Representations from Transformers) is one of the earliest LLM foundation models developed. An open-source model, Google created BERT in 2018.

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Generative AI Data Scientist BERT Machine Learning 141

Unite.AI

SEPTEMBER 20, 2023

How Hugging Face Facilitates NLP and LLM Projects Hugging Face has made working with LLMs simpler by offering: A range of pre-trained models to choose from. A great resource available through Hugging Face is the Open LLM Leaderboard. Tools and examples to fine-tune these models to your specific needs.

LLM 342

LLM BERT NLP Python 342

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.

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BERT Natural Language Processing Large Language Models Neural Network 83

Unite.AI

AUGUST 4, 2023

This, coupled with the challenges of understanding AI concepts and complex algorithms, contributes to the learning curve associated with developing applications using LLMs. Nevertheless, the integration of LLMs with other tools to form LLM-powered applications could redefine our digital landscape. Two key LLM models are GPT-3.5

Prompt Engineer 245

Prompt Engineer Prompt Engineering Python NLP 245

deepsense.ai

NOVEMBER 14, 2023

Even though the team we established consisted of elite LLM experts, the task proved very challenging. Namely, the way GPU-rich use HFRL is categorically beyond the rich of GPU-poor. 2023 [link] [link] [link] BERTScore: Evaluating text generation with BERT , Zhang T., There is a ‘but’, however. Garrido-Merchán E.C., Hertzmann A.,

Generative AI 100

Generative AI ML Prompt Engineer Prompt Engineering 100

Bugra Akyildiz

MARCH 24, 2024

RWKV (pronounced as RWaKuV) is an RNN with GPT-level LLM performance, which can also be directly trained like a GPT transformer (parallelizable). Despite extensive research on traditional machine learning models, there has been limited work studying MIA on the pre-training data of large language models (LLMs). Reference-based ( ref ).

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Algorithm Machine Learning Data Scientist LLM 52

Flipboard

DECEMBER 6, 2023

Tools like LangChain , combined with a large language model (LLM) powered by Amazon Bedrock or Amazon SageMaker JumpStart , simplify the implementation process. Types of summarizations There are several techniques to summarize text, which are broadly categorized into two main approaches: extractive and abstractive summarization.

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BERT Large Language Models Artificial Intelligence Artificial Intelligence 128

AWS Machine Learning Blog

AUGUST 7, 2023

AWS received about 100 samples of labeled data from the customer, which is a lot less than the 1,000 samples recommended for fine-tuning an LLM in the data science community. The solution was to find and fine-tune an LLM to classify toxic language. LLMs are truly capable of learning from internet-scale data.

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Large Language Models LLM BERT ML 76

AWS Machine Learning Blog

NOVEMBER 1, 2023

Combined with large language models (LLM) and Contrastive Language-Image Pre-Training (CLIP) trained with a large quantity of multimodality data, visual language models (VLMs) are particularly adept at tasks like image captioning, object detection and segmentation, and visual question answering.

Auto-classification 90

Auto-classification LLM Auto-complete Generative AI 90

Unite.AI

AUGUST 8, 2023

Generative AI Types: Text to Text, Text to Image Transformers & LLM The paper “ Attention Is All You Need ” by Google Brain marked a shift in the way we think about text modeling. Large Language Models (LLMs) like GPT-4, Bard, and LLaMA, are colossal constructs designed to decipher and generate human language, code, and more.

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Generative AI ChatGPT Neural Network Convolutional Neural Networks 243