Marktechpost

APRIL 12, 2024

Pre-trained bidirectional encoders or encoder-decoders, such as BERT and T5, have historically been the preferred models for this use. Lately, the trend in text embedding jobs has been to use Large Language Models (LLMs) that are decoder-only. LLM2Vec is very data and parameter-efficient and does not require any labeled data.

LLM 109

LLM Large Language Models NLP Natural Language Processing 109

Mlearning.ai

JULY 23, 2023

Transformers form the backbone of the revolutionary Large Language Models While LLMs like GPT4 , llama2 & Falcon seem to do an excellent jobs across a variety of tasks, the performance of an LLM on a particular task is a direct result of the underlying architecture. These models are best suited for language translation.

LLM 52

LLM Auto-classification BERT Large Language Models 52

Snorkel AI

FEBRUARY 13, 2024

Large language model distillation isolates LLM performance on a specific task and mirrors its functionality in a smaller format. LLM distillation basics Multi-billion parameter language models pre-trained on millions of documents have changed the world. What is LLM distillation? How does LLM distillation work?

LLM 52

LLM Data Scientist Neural Network Data Science 52

Snorkel AI

FEBRUARY 13, 2024

Large language model distillation isolates LLM performance on a specific task and mirrors its functionality in a smaller format. LLM distillation basics Multi-billion parameter language models pre-trained on millions of documents have changed the world. What is LLM distillation? How does LLM distillation work?

LLM 52

LLM Data Scientist Neural Network Data Science 52

Marktechpost

FEBRUARY 12, 2024

SLIMs join existing small, specialized model families from LLMWare – DRAGON , BLING , and Industry – BERT — along with the LLMWare development framework, to create a comprehensive set of open-source models and data pipelines to address a wide range of complex enterprise RAG use cases.

Automation 140

Automation BERT LLM Python 140

John Snow Labs

JUNE 27, 2023

Instead of navigating complex menus or waiting on hold, they can engage in a conversation with a chatbot powered by an LLM. The LLM analyzes the customer’s query, processes the natural language input, and generates a contextual response in real-time. Pythia: Pythia is a vision and language LLM developed by EleutherAI.

Large Language Models 52

Large Language Models BERT Natural Language Processing NLP 52

Marktechpost

APRIL 21, 2024

Transformer Models and BERT Model : In this course, participants delve into the specifics of Transformer models and the Bidirectional Encoder Representations from Transformers (BERT) model. Introduction to Large Language Models: This module explores Large Language Models (LLMs) and their applications.

Artificial Intelligence 137

Artificial Intelligence Artificial Intelligence BERT Large Language Models 137

Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries. LLMs utilize embeddings to understand word context.

Large Language Models 130

Large Language Models Prompt Engineer Prompt Engineering LLM 130

Unite.AI

DECEMBER 1, 2023

Impact of the LLM Black Box Problem 1. Flawed Decision Making The opaqueness in the decision-making process of LLMs like GPT-3 or BERT can lead to undetected biases and errors. For example, a medical diagnosis LLM relying on outdated or biased data can make harmful recommendations.

LLM 264

LLM Machine Learning Explainability Algorithm 264

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?

ChatGPT 132

ChatGPT Large Language Models Neural Network BERT 132

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. This post is focused on what those modifications are at a detailed level so that you can feel comfortable knowing how to put it into practice.

LLM 119

LLM BERT AI AI 119

Marktechpost

JULY 16, 2023

The well-known large language models such as GPT, DALLE, and BERT perform extraordinary tasks and ease lives. The post Meet LMQL: An Open Source Programming Language and Platform for Large Language Model (LLM) Interaction appeared first on MarkTechPost.

Large Language Models 97

Large Language Models LLM Artificial Intelligence Artificial Intelligence 97

Marktechpost

APRIL 16, 2024

LangChain is an open-source framework that allows developers to build LLM-based applications easily. It provides for easily connecting LLMs with external data sources to augment the capabilities of these models and achieve better results. It teaches how to build LLM-powered applications using LangChain using hands-on exercises.

Large Language Models 104

Large Language Models Prompt Engineer Prompt Engineering Auto-complete 104

Towards AI

APRIL 12, 2023

Soon to be followed by large general language models like BERT (Bidirectional Encoder Representations from Transformers). In the last few years, if you google healthcare or clinical NLP, you would see that the search results are blanketed by a few names like John Snow Labs (JSL), Linguamatics (IQVIA), Oncoustics, BotMD, Inspirata.

LLM 97

LLM BERT NLP OpenAI 97

Analytics Vidhya

APRIL 15, 2024

RAG is what is necessary for the Large Language Models (LLMs) to provide or generate accurate and factual answers.

Large Language Models 337

Large Language Models LLM BERT OpenAI 337

Unite.AI

DECEMBER 4, 2023

GPT 3 and similar Large Language Models (LLM) , such as BERT , famous for its bidirectional context understanding, T-5 with its text-to-text approach, and XLNet , which combines autoregressive and autoencoding models, have all played pivotal roles in transforming the Natural Language Processing (NLP) paradigm.

Large Language Models 217

Large Language Models BERT Neural Network Natural Language Processing 217

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.

LLM 52

LLM Large Language Models Natural Language Processing Computer Vision 52

John Snow Labs

MAY 29, 2023

Question / Answering in Legal NLP using Flan-T5 LLM demos A new demo has been released showcasing how to use Flan-T5 models, finetuned on legal texts to carry out summarization , text generation and question answering. Let’s take a look at each of them! Demo available here.

LLM 52

LLM NLP BERT 52

John Snow Labs

MAY 30, 2023

This includes questions and queries: LLM demos A new demo has been released showcasing how to use Flan-T5 models, finetuned on legal texts to carry out summarization , text generation and question answering. FIQA-based QA model Similarly, we used the FIQA dataset to train another Flan-T5 model, also for financial question-answering.

NLP 52

NLP LLM BERT 52

AWS Machine Learning Blog

FEBRUARY 6, 2024

Transformers, BERT, and GPT The transformer architecture is a neural network architecture that is used for natural language processing (NLP) tasks. One of the more popular and useful of the transformer architectures, Bidirectional Encoder Representations from Transformers (BERT), is a language representation model that was introduced in 2018.

Large Language Models 103

Large Language Models BERT NLP Data Scientist 103

Marktechpost

DECEMBER 18, 2023

Bioformer Bioformer is a compact version of BERT that can be used for biomedical text mining. Although BERT has achieved state-of-the-art performance in NLP applications, its parameters could be reduced with a minor impact on performance to improve its computational efficiency.

Artificial Intelligence 131

Artificial Intelligence Artificial Intelligence BERT Deep Learning 131

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

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

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.

LLM 200

LLM Large Language Models Software Development BERT 200

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 Large Language Models 189

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.

BERT 131

BERT Large Language Models LLM AI 131

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

Large Language Models 123

Large Language Models LLM BERT Explainability 123

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?

Large Language Models 98

Large Language Models LLM NLP BERT 98

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

Towards AI

JANUARY 30, 2024

The 12 groups are as follows — Types of Models Common LLM Terms LLM Lifecycle Stages LLM Evaluations LLM Architecture Retrieval Augmented Generation (RAG) LLM Agents LMM Architecture Cost & Efficiency LLM Security Deployment & Inference A list of providers supporting LLMOps Like the generative AI space, this taxonomy is also evolving.

Generative AI 115

Generative AI LLM Prompt Engineer Prompt Engineering 115

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.

Large Language Models 98

Large Language Models LLM BERT Artificial Intelligence 98

NVIDIA

SEPTEMBER 11, 2023

The latest MLPerf round included an updated test of recommendation systems, as well as the first inference benchmark on GPT-J, an LLM with six billion parameters, a rough measure of an AI model’s size. MosaicML added features that it needs on top of TensorRT-LLM and integrated them into its existing serving stack.

Computer Vision 126

Computer Vision LLM BERT Large Language Models 126

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 122

Large Language Models NLP Convolutional Neural Networks Neural Network 122

TheSequence

MAY 29, 2023

In this post Toloka showcases Human-in-the-Loop using StarCoder, a code LLM, as an example. Responsible AI starts with a responsible approach to data The promise of Large Language Models (LLMs) is that they will help us with a variety of different tasks. These datasets are usually scraped from the internet.

LLM 52

LLM Responsible AI Natural Language Processing Software Engineer 52

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.

Large Language Models 120

Large Language Models BERT LLM OpenAI 120

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.

LLM 236

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. Types of LLM Large language models It is not uncommon for large language models to be trained using petabytes or more of text data, making them tens of terabytes in size.

Large Language Models 104

Large Language Models BERT Natural Language Processing Categorization 104