Snorkel AI

DECEMBER 27, 2023

While large language models (LLMs) have claimed the spotlight since the debut of ChatGPT, BERT language models have quietly handled most enterprise natural language tasks in production. As foundation models , large LLMs like GPT-4 and Gemini consolidate internet-scale text datasets and excel at a wide range of tasks.

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BERT NLP Data Scientist Large Language Models 52

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.

Computational Linguistics 120

Computational Linguistics Large Language Models LLM BERT 120

AWS Machine Learning Blog

JUNE 25, 2024

Manually analyzing and categorizing large volumes of unstructured data, such as reviews, comments, and emails, is a time-consuming process prone to inconsistencies and subjectivity. The raw data is processed by an LLM using a preconfigured user prompt. The LLM generates output based on the user prompt.

Automation 116

Automation Prompt Engineering Prompt Engineer Categorization 116

Marktechpost

SEPTEMBER 6, 2024

The primary issue lies in the substantial computational costs of LLM-based augmentation, resulting in high power consumption and CO2 emissions. Researchers need help with the need to balance the improved performance of LLM-augmented classifiers against their environmental and economic costs. and Llama-3-8B.

LLM 58

LLM BERT Large Language Models Categorization 58

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 Neural Network 240

Marktechpost

JULY 4, 2023

Natural language processing (NLP) activities, including speech-to-text, sentiment analysis, text summarization, spell-checking, token categorization, etc., 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.

Large Language Models 98

Large Language Models BERT Natural Language Processing Categorization 98

The MLOps Blog

SEPTEMBER 26, 2024

TL;DR Hallucinations are an inherent feature of LLMs that becomes a bug in LLM-based applications. This “making up” event is what we call a hallucination, a term popularized by Andrej Karpathy in 2015 in the context of RNNs and extensively used nowadays for large language models (LLMs). What are LLM hallucinations?

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LLM Prompt Engineering Prompt Engineer Auto-complete 72

Marktechpost

SEPTEMBER 9, 2024

NLI models offer significant advantages in terms of efficiency, as they can operate with much smaller parameter counts compared to generative LLMs. For instance, a BERT model with 86 million parameters can perform NLI tasks, while the smallest effective zero-shot generative LLMs require 7-8 billion parameters. Also, Claude 3.5

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BERT Large Language Models LLM Categorization 102

AWS Machine Learning Blog

OCTOBER 30, 2024

We showcase two different sentence transformers, paraphrase-MiniLM-L6-v2 and a proprietary Amazon large language model (LLM) called M5_ASIN_SMALL_V2.0 , and compare their results. M5 LLMS are BERT-based LLMs fine-tuned on internal Amazon product catalog data using product title, bullet points, description, and more.

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BERT Categorization Data Scientist Machine Learning 87

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 122

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

Snorkel AI

AUGUST 17, 2023

Its categorical power is brittle. Even if the total text length fits within the context window, users may want to avoid in-context learning for tasks with high cardinality; when using LLM APIs, users pay by the token. Sends the prompt to the LLM. Over thousands of executions, those extra tokens can add up.

Generative AI 52

Generative AI BERT LLM Prompt Engineering 52

Snorkel AI

AUGUST 17, 2023

Its categorical power is brittle. Even if the total text length fits within the context window, users may want to avoid in-context learning for tasks with high cardinality; when using LLM APIs, users pay by the token. Sends the prompt to the LLM. Over thousands of executions, those extra tokens can add up.

Generative AI 52

Generative AI BERT LLM Prompt Engineering 52

Snorkel AI

AUGUST 17, 2023

Its categorical power is brittle. Even if the total text length fits within the context window, users may want to avoid in-context learning for tasks with high cardinality; when using LLM APIs, users pay by the token. Sends the prompt to the LLM. Over thousands of executions, those extra tokens can add up.

Generative AI 52

Generative AI BERT LLM Prompt Engineering 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

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

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.

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Large Language Models BERT Categorization LLM 98

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

AWS Machine Learning Blog

NOVEMBER 26, 2024

Large language models (LLMs) have demonstrated impressive capabilities in natural language understanding and generation across diverse domains as showcased in numerous leaderboards (e.g., HELM , Hugging Face Open LLM leaderboard ) that evaluate them on a myriad of generic tasks. A three-shot prompting strategy is used for this task.

LLM 86

LLM Machine Learning Prompt Engineering Prompt Engineer 86

Viso.ai

JULY 18, 2024

If a computer program is trained on enough data such that it can analyze, understand, and generate responses in natural language and other forms of content, it is called a Large Language Model (LLM). An easy way to describe LLM is an AI algorithm capable of understanding and generating human language.

Large Language Models 52

Large Language Models Neural Network Natural Language Processing BERT 52

John Snow Labs

OCTOBER 19, 2023

How to use the LangTest library to evaluate LLM for bias using CrowS-Pairs dataset? report() Output of the.report() In this snippet, we defined the task as crows-pairs , the model as bert-base-uncased from huggingface , and the data as CrowS-Pairs. We can check the detailed results using .generated_results()

BERT 52

BERT NLP Natural Language Processing Python 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

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 113

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 113

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

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 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

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?

ChatGPT 52

ChatGPT LLM Artificial Intelligence Artificial Intelligence 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

In November 2022, ChatGPT was released, a large language model (LLM) that used the transformer architecture, and is widely credited with starting the current generative AI boom. Review of the technology In this section, we review different components of the technology. A third use of PBAs in FSI Monte Carlo is in LOB simulations.

ML 94

ML Deep Learning Algorithm Large Language Models 94

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 Engineering 245

Prompt Engineering Prompt Engineer Python NLP 245

Bugra Akyildiz

AUGUST 10, 2024

Large models like GPT-3 (175B parameters) or BERT-Large (340M parameters) can be reduced by 75% or more. Running BERT models on smartphones for on-device natural language processing requires much less energy due to resource constrained in smartphones than server deployments. The experience is designed to be similar to grep.

BERT 59

BERT Large Language Models Categorization Deep Learning 59

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.

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LLM BERT NLP Python 342

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 111

Generative AI ML Prompt Engineering Prompt Engineer 111

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.

Generative AI 243

Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

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 165