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

ODSC - Open Data Science

SEPTEMBER 6, 2023

Most people who have experience working with large language models such as Google’s Bard or OpenAI’s ChatGPT have worked with an LLM that is general, and not industry-specific. This is why over the last few months multiple examples of domain/industry-specific LLMs have gone live. Well, that’s what CaseHOLD does. So what does it do?

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Large Language Models LLM NLP BERT 98

Unite.AI

APRIL 17, 2024

In recent years, Natural Language Processing (NLP) has undergone a pivotal shift with the emergence of Large Language Models (LLMs) like OpenAI's GPT-3 and Google’s BERT. Using their extensive training data, LLM-based agents deeply understand language patterns, information, and contextual nuances.

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LLM BERT Natural Language Processing NLP 236

Marktechpost

JULY 4, 2023

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. ” Even for seasoned programmers, the syntax of shell commands might need to be explained. It is pre-trained using a generalized autoregressive model.

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Large Language Models BERT Natural Language Processing Categorization 102

Towards AI

AUGUST 10, 2023

Applying LLMs to make E-commerce search engines robust to colloquial queries Photo by Oberon Copeland @veryinformed.com on Unsplash In recent years, web search engines have been quickly embracing Large Language Models (LLMs) to increase their search capability. One of the most successful examples is Google search powered by BERT [1].

LLM 92

LLM BERT Large Language Models Explainability 92

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.

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Large Language Models Deep Learning Natural Language Processing BERT 65

Snorkel AI

SEPTEMBER 21, 2023

Pre-trained LLMs can be limited by the low quality of their data sources and struggle to adapt to domain-specific tasks. They can be limited in their multi-modality, and they can be difficult to explain, adapt, or control. Starting from an LLM pre-trained on EMR/EHR data, like ehrBERT, UCSF-Bert, and GatorTron, can speed this process.

BERT 64

BERT Data Scientist AI AI 64

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

Snorkel AI

SEPTEMBER 21, 2023

Pre-trained LLMs can be limited by the low quality of their data sources and struggle to adapt to domain-specific tasks. They can be limited in their multi-modality, and they can be difficult to explain, adapt, or control. Starting from an LLM pre-trained on EMR/EHR data, like ehrBERT, UCSF-Bert, and GatorTron, can speed this process.

BERT 59

BERT Data Scientist AI AI 59

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

Heartbeat

OCTOBER 5, 2023

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. These LLMs can generate human-like text, understand context, and perform various Natural Language Processing (NLP) tasks. We pay our contributors, and we don't sell ads.

Large Language Models 52

Large Language Models DevOps Prompt Engineer Prompt Engineering 52

Snorkel AI

AUGUST 24, 2023

Model explainability. Publicly available large language model (LLM) APIs are a non-starter for banks due to regulations around sending sensitive data to third parties as well as the generalist API’s lack of domain-specific understanding. This helps users understand how to address errors and improve model accuracy.

Large Language Models 52

Large Language Models AI AI Natural Language Processing 52

Snorkel AI

AUGUST 24, 2023

Model explainability. Publicly available large language model (LLM) APIs are a non-starter for banks due to regulations around sending sensitive data to third parties as well as the generalist API’s lack of domain-specific understanding. This helps users understand how to address errors and improve model accuracy.

Large Language Models 52

Large Language Models AI AI Natural Language Processing 52

Snorkel AI

AUGUST 24, 2023

Model explainability. Publicly available large language model (LLM) APIs are a non-starter for banks due to regulations around sending sensitive data to third parties as well as the generalist API’s lack of domain-specific understanding. This helps users understand how to address errors and improve model accuracy.

Large Language Models 52

Large Language Models AI AI Natural Language Processing 52

Snorkel AI

AUGUST 8, 2023

Model explainability. While you can directly ask an LLM if an email is likely to be fraudulent or phishing, the better practice would be to ask more specific questions. Then, they can distill that model’s expertise into a deployable form by having it “teach” a smaller model like BERT.

Data Scientist 52

Data Scientist Artificial Intelligence Artificial Intelligence AI 52

Snorkel AI

AUGUST 8, 2023

Model explainability. While you can directly ask an LLM if an email is likely to be fraudulent or phishing, the better practice would be to ask more specific questions. Then, they can distill that model’s expertise into a deployable form by having it “teach” a smaller model like BERT.

Data Scientist 52

Data Scientist Artificial Intelligence Artificial Intelligence AI 52

deepsense.ai

OCTOBER 8, 2023

We compare the existing solutions and explain how they work behind the scenes. Introduction While the concept of AI agents has been around for decades, it is undeniable that recent advancements in Large Language Models (LLMs) have revolutionized this field, opening up a whole new realm of possibilities and applications.

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Auto-complete LLM AI AI 92

AWS Machine Learning Blog

JULY 24, 2023

Inf2 instances are ideal for Deep Learning workloads like Generative AI, Large Language Models (LLM) in OPT/GPT family and vision transformers like Stable Diffusion. Also in this folder, we provide all the scripts necessary to trace a bert-base-uncased model on AWS Inferentia. code as the entry point. The fastapi-server.py

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BERT Deep Learning Python Machine Learning 72

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

Explosion

MAY 17, 2023

In 2014 I started working on spaCy , and here’s an excerpt of how I explained the motivation for the library: Computers don’t understand text. 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.

LLM 135

LLM NLP Large Language Models OpenAI 135

Heartbeat

SEPTEMBER 12, 2023

Implementing end-to-end deep learning projects has never been easier with these awesome tools Image by Freepik LLMs such as GPT, BERT, and Llama 2 are a game changer in AI. Here are the topics we’ll cover in this article: Fine-tuning the BERT model with the Transformers library for text classification.

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BERT Deep Learning Machine Learning ML 52

Heartbeat

NOVEMBER 17, 2023

Exact Match Probably the simplest ways to evaluate an LLM or runnable’s string output against a reference label is by a simple string equivalence. Considerations for Choosing a Distance Metric for Text Embeddings: Scale or Magnitude : Embeddings from models like Word2Vec, FastText, BERT, and GPT are often normalized to unit length.

Data Scientist 52

Data Scientist Deep Learning Algorithm 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

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

Unite.AI

AUGUST 1, 2023

Paper Title: "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding" Key Takeaway: Introduced BERT, showcasing the efficacy of pre-training deep bidirectional models, thereby achieving state-of-the-art results on various NLP tasks. This demonstrates a classic case of ‘knowledge conflict'.

Prompt Engineer 246

Prompt Engineer Prompt Engineering ChatGPT Convolutional Neural Networks 246

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.

Generative AI 151

Generative AI Data Scientist BERT Machine Learning 151

AWS Machine Learning Blog

DECEMBER 22, 2023

We start off with a baseline foundation model from SageMaker JumpStart and evaluate it with TruLens , an open source library for evaluating and tracking large language model (LLM) apps. These functions can be implemented in several ways, including BERT-style models, appropriately prompted LLMs, and more. args.args[0]).on(Select.Record.calls[0].args.args[1])

LLM 93

LLM Large Language Models Prompt Engineer Prompt Engineering 93

Flipboard

FEBRUARY 16, 2023

In this post, we use a Hugging Face BERT-Large model pre-training workload as a simple example to explain how to useTrn1 UltraClusters. Launch your training job We use the Hugging Face BERT-Large Pretraining Tutorial as an example to run on this cluster. Each compute node has Neuron tools installed, such as neuron-top.

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Large Language Models LLM BERT Deep Learning 106

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

AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker Clarify now provides AWS customers with foundation model (FM) evaluations, a set of capabilities designed to evaluate and compare model quality and responsibility metrics for any LLM, in minutes. FMEval helps in measuring evaluation dimensions such as accuracy, robustness, bias, toxicity, and factual knowledge for any LLM.

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Large Language Models LLM Algorithm Responsible AI 88

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.

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Large Language Models LLM Machine Learning Natural Language Processing 78

ODSC - Open Data Science

FEBRUARY 14, 2023

Some examples of large language models include GPT (Generative Pre-training Transformer), BERT (Bidirectional Encoder Representations from Transformers), and RoBERTa (Robustly Optimized BERT Approach). Researchers are developing techniques to make LLM training more efficient.

ChatGPT 124

ChatGPT Large Language Models OpenAI Conversational AI 124

AssemblyAI

JUNE 27, 2023

In this article, we take an overview of some exciting new advances in the space of Generative AI for audio that have all happened in the past few months , explaining where the key ideas come from and how they come together to bring audio generation to a new level. This blog post is part of a series on generative AI.

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Generative AI AI AI BERT 298

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.

BERT 83

BERT Natural Language Processing Large Language Models Neural Network 83

Snorkel AI

MARCH 19, 2024

Google’s thought leadership in AI is exemplified by its groundbreaking advancements in native multimodal support (Gemini), natural language processing (BERT, PaLM), computer vision (ImageNet), and deep learning (TensorFlow). We started with a pre-built prompt template in Snorkel Flow connected to PaLM 2.

Data Scientist 52

Data Scientist AI AI LLM 52

Snorkel AI

MARCH 19, 2024

Google’s thought leadership in AI is exemplified by its groundbreaking advancements in native multimodal support (Gemini), natural language processing (BERT, PaLM), computer vision (ImageNet), and deep learning (TensorFlow). We started with a pre-built prompt template in Snorkel Flow connected to PaLM 2.

Data Scientist 52

Data Scientist AI AI LLM 52

Heartbeat

MARCH 19, 2024

Introduction Large language models (LLMs) have emerged as a driving catalyst in natural language processing and comprehension evolution. LLM use cases range from chatbots and virtual assistants to content generation and translation services. Similarly, Google utilizes LLMOps for its next-generation LLM, PaLM 2.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Natural Language Processing 52