Towards AI

OCTOBER 11, 2023

To remind you why it’s important, a vanilla LLM requires exponentially more memory and processing time as the context length gets longer to generate the next token. Imagine GPT writing the end of a book. Plus, many models are not actually trained on very long inputs, so they suffer as inputs get longer.

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LLM BERT AI AI 111

Towards AI

OCTOBER 31, 2024

As we wrap up October, we’ve compiled a bunch of diverse resources for you — from the latest developments in generative AI to tips for fine-tuning your LLM workflows, from building your own NotebookLM clone to instruction tuning. Building LLMs for Production is now available as an e-book at an exclusive price on Towards AI Academy!

LLM 108

LLM NLP BERT Large Language Models 108

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 133

Unite.AI

JULY 11, 2023

This course explores LLMs (Large Language Models) – AI models trained on large amounts of textual data. Google’s Bard AI ” is an excellent example of an LLM that makes advanced human-machine interaction possible. Understand how LLMs are used for sentiment analysis. Covers the different NLP tasks for which a BERT model is used.

Generative AI 189

Generative AI BERT Natural Language Processing Artificial Intelligence 189

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. He has a Ph.D.

Large Language Models 132

Large Language Models LLM BERT Deep Learning 132

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 189

Generative AI BERT Data Scientist Machine Learning 189

O'Reilly Media

JUNE 14, 2024

It offers a wealth of books, on-demand courses, live events, short-form posts, interactive labs, expert playlists, and more—formed from the proprietary content of thousands of independent authors, industry experts, and several of the largest education publishers in the world.

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BERT LLM Metadata Generative AI 80

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 BERT Large Language Models Natural Language Processing 52

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.

Large Language Models 124

Large Language Models NLP Convolutional Neural Networks Neural Network 124

Marktechpost

JULY 3, 2023

LLMs are trained with the help of massive volumes of text data from a variety of sources, including books, journals, webpages, and other textual resources. The LLM consumes the text data during training and tries to anticipate the following word or series of words depending on the context.

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Large Language Models Natural Language Processing LLM BERT 98

AWS Machine Learning Blog

JUNE 18, 2024

With more access to vast amounts of reports, books, articles, journals, and research papers than ever before, swiftly identifying desired information in large bodies of text is becoming invaluable. Amazon Bedrock – Calls an LLM to identify entities of interest from the given context.

Large Language Models 119

Large Language Models Natural Language Processing LLM Computer Vision 119

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.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

ODSC - Open Data Science

NOVEMBER 4, 2024

Figure 1: A case study in my book, A Quick Start Guide to LLMs , tested 10 prompt variants across 6 models, all yielding positive impacts on model performance with the same prompts, showing that a well-crafted prompt not only improves performance for any Generative model, it can improve performance across most models.

Prompt Engineer 52

Prompt Engineer Prompt Engineering BERT Large Language Models 52

Marktechpost

AUGUST 3, 2023

LLMs are cutting-edge models with over a billion parameters and show impressive abilities in handling tasks with few or zero examples. These models are trained on vast amounts of text data from diverse sources like Wikipedia, GitHub, chat logs, medical articles, law articles, books, and web pages crawled from the internet.

Data Scarcity 52

Data Scarcity Large Language Models BERT Natural Language Processing 52

Snorkel AI

AUGUST 17, 2023

For example: Prompt: This is awesome! // Negative This is bad! // Positive Wow that movie was rad! // Positive {text_to_evaluate} // If text_to_evaluate was “ What a horrible show!” , The LLM output should be: Negative This technique generally guarantees a properly constrained response that will translate well into a code pipeline.

Generative AI 52

Generative AI BERT LLM Prompt Engineer 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

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.

Natural Language Processing 114

Natural Language Processing Large Language Models BERT Neural Network 114

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

ODSC - Open Data Science

NOVEMBER 8, 2023

LLM Basics First and foremost, you need to understand the basics of generative AI and LLMs, such as key terminology, uses, potential issues, and primary frameworks. Prompt Engineering Another buzzword you’ve likely heard of lately, prompt engineering means designing inputs for LLMs once they’re developed. Plan accordingly!

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering 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

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.

Large Language Models 105

Large Language Models Algorithm LLM Responsible AI 105

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

Snorkel AI

SEPTEMBER 21, 2023

LLMs can be fine-tuned to address particular needs, like facilitating cohort selection by reviewing medical records. Starting from an LLM pre-trained on EMR/EHR data, like ehrBERT, UCSF-Bert, and GatorTron, can speed this process. Book a demo today. Adapt to specific tasks. Chat with us today!

BERT 64

BERT Data Scientist AI Natural Language Processing 64

Snorkel AI

SEPTEMBER 21, 2023

LLMs can be fine-tuned to address particular needs, like facilitating cohort selection by reviewing medical records. Starting from an LLM pre-trained on EMR/EHR data, like ehrBERT, UCSF-Bert, and GatorTron, can speed this process. Book a demo today. Adapt to specific tasks. See what Snorkel option is right for you.

BERT 52

BERT Data Scientist AI AI 52

Snorkel AI

SEPTEMBER 21, 2023

LLMs can be fine-tuned to address particular needs, like facilitating cohort selection by reviewing medical records. Starting from an LLM pre-trained on EMR/EHR data, like ehrBERT, UCSF-Bert, and GatorTron, can speed this process. Book a demo today. Adapt to specific tasks. Chat with us today!

BERT 59

BERT Data Scientist AI Natural Language Processing 59

Snorkel AI

AUGUST 24, 2023

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. Book a demo today. See what Snorkel option is right for you.

Large Language Models 52

Large Language Models AI AI Natural Language Processing 52

Snorkel AI

OCTOBER 18, 2023

Integrations with FMs and LLMs to address data challenges and springboard development for domain-specific models. Models like GPT-3 , Stable Diffusion , BERT , and CLIP can be pre-trained and fine-tuned to address problems specific to claims processing. Book a demo today. See what Snorkel option is right for you.

BERT 52

BERT Explainability AI AI 52

Snorkel AI

AUGUST 8, 2023

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. Book a demo today. See what Snorkel option is right for you.

Data Scientist 52

Data Scientist NLP AI AI 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.

Large Language Models 52

Large Language Models DevOps Prompt Engineer Prompt Engineering 52

ODSC - Open Data Science

FEBRUARY 14, 2023

Trained with 570 GB of data from books and all the written text on the internet, ChatGPT is an impressive example of the training that goes into the creation of conversational AI. They are designed to understand and generate human-like language by learning from a large dataset of texts, such as books, articles, and websites.

ChatGPT 124

ChatGPT Large Language Models OpenAI Conversational AI 124

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 80

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 117

Machine Learning Metadata Generative AI ML 117

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). Book a demo today. We started with a pre-built prompt template in Snorkel Flow connected to PaLM 2.

Data Scientist 52

Data Scientist LLM Chatbots AI 52

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

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). Book a demo today. We started with a pre-built prompt template in Snorkel Flow connected to PaLM 2.

Data Scientist 52

Data Scientist AI AI Chatbots 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. In 2017, the landmark paper “ Attention is all you need ” was published, which laid out a new deep learning architecture based on the transformer.

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ML Deep Learning Algorithm Large Language Models 93