Explosion

MAY 17, 2023

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. One vision for how LLMs can be used is what I’ll term LLM maximalist. If you have some task, you try to ask the LLM to do it as directly as possible.

LLM 135

LLM NLP Large Language Models OpenAI 135

AssemblyAI

MAY 3, 2023

The quintessential examples for this distinction are: The BERT model, which stands for Bidirectional Encoder Representations from Transformers. The Race for the Largest Language Model In recent years, the development of LLMs has been characterized by a dramatic increase in size, as measured by the number of parameters. Et voilà !

Large Language Models 363

Large Language Models Neural Network LLM ChatGPT 363

Towards AI

FEBRUARY 19, 2024

You know, that thing OpenAI used to make GPT3.5 As an early adopter of the BERT models in 2017, I hadn’t exactly been convinced computers could interpret human language with similar granularity and contextuality as people do. Author(s): Tim Cvetko Originally published on Towards AI. into ChatGPT? Forget Human Labelers!

LLM 105

LLM BERT OpenAI ChatGPT 105

Analytics Vidhya

APRIL 15, 2024

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

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Large Language Models LLM BERT OpenAI 349

Marktechpost

APRIL 25, 2024

Heatmap representing the relative importance of terms in the context of LLMs Source: marktechpost.com 1. LLM (Large Language Model) Large Language Models (LLMs) are advanced AI systems trained on extensive text datasets to understand and generate human-like text. These models typically involve an encoder and a decoder.

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Large Language Models LLM Neural Network Natural Language Processing 128

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.

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Large Language Models BERT Neural Network Natural Language Processing 215

Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. No training examples are needed in LLM Development but it’s needed in Traditional Development.

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Large Language Models LLM Natural Language Processing Deep Learning 98

Towards AI

AUGUST 10, 2023

However, the meteoric rise of large language models (LLMs) like GPT-3 poses a new challenge for the tech titan. Lacking an equally buzzworthy in-house LLM, AWS risks losing ground to rivals rushing their own models to market. And AWS isn’t sitting idle on the LLM front, either.

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LLM Large Language Models OpenAI BERT 98

Unite.AI

AUGUST 1, 2023

OpenAI has been instrumental in developing revolutionary tools like the OpenAI Gym, designed for training reinforcement algorithms, and GPT-n models. One such model that has garnered considerable attention is OpenAI's ChatGPT , a shining exemplar in the realm of Large Language Models.

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Prompt Engineering Prompt Engineer ChatGPT Convolutional Neural Networks 246

Towards AI

APRIL 12, 2023

Soon to be followed by large general language models like BERT (Bidirectional Encoder Representations from Transformers). In hindsight, these companies might have been too early in their evolution, as they missed the boat by being early on what groundbreaking advances OpenAI brought to the world.

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LLM BERT NLP OpenAI 97

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. Below is a demonstration of the BabyAGI using this link.

Auto-complete 240

Auto-complete ChatGPT Large Language Models Neural Network 240

John Snow Labs

AUGUST 29, 2023

It’s a well-established principle: any LLM, whether open-source or proprietary, isn’t dependable without a RAG. with: New OpenAI Whisper, Embeddings and Completions! Anticipate swifter inferences, seamless optimizations, and quantization for exporting LLM models. BERT, XLNet, RoBERTa) under the same model setting.

NLP 98

NLP OpenAI BERT LLM 98

AssemblyAI

SEPTEMBER 18, 2023

Below, we'll give you the basic know-how you need to understand LLMs, how they work, and the best models in 2023. A large language model (often abbreviated as LLM) is a machine-learning model designed to understand, generate, and interact with human language. GPT-4 GPT-4 is OpenAI's latest (and largest) model.

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Large Language Models BERT Auto-complete LLM 130

Marktechpost

JULY 16, 2023

The well-known large language models such as GPT, DALLE, and BERT perform extraordinary tasks and ease lives. It integrates with the Hugging Face’s Transformers, OpenAI API, and Langchain. Their recent impact has helped contribute to a wide range of industries like healthcare, finance, education, entertainment, etc.

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Large Language Models LLM Artificial Intelligence Artificial Intelligence 97

Unite.AI

FEBRUARY 12, 2024

In contrast, closed source LLMs treat model architecture and weights as proprietary assets. Commercial entities like Anthropic, DeepMind, and OpenAI develop them internally. This customizability allows open source LLMs to better serve specialized domains like biomedical research, code generation, and education.

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LLM Large Language Models OpenAI Natural Language Processing 130

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.

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Large Language Models BERT NLP Data Scientist 113

Unite.AI

NOVEMBER 20, 2023

Applications & Impact Meta's Llama is compared to other prominent LLMs, such as BERT and GPT-3. Privacy Control: Llama's adaptability and flexibility make it potentially disruptive to the current leaders in LLM, such as OpenAI and Google.

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Large Language Models BERT Chatbots LLM 167

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

Unite.AI

FEBRUARY 23, 2024

As the course progresses, “Language Models and Transformer-based Generative Models” take center stage, shedding light on different language models, the Transformer architecture, and advanced models like GPT and BERT. Expert Creators : Developed by renowned professionals from OpenAI and DeepLearning.AI.

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Prompt Engineering Prompt Engineer Large Language Models ChatGPT 267

Flipboard

JULY 4, 2023

From education and finance to healthcare and media, LLMs are contributing to almost every domain. Famous LLMs like GPT, BERT, PaLM, and LLaMa are revolutionizing the AI industry by imitating humans. Vespa – Vespa.ai

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Large Language Models Machine Learning Natural Language Processing BERT 139

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 Engineer Prompt Engineering Auto-complete 72

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.

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Large Language Models BERT Natural Language Processing NLP 52

Marktechpost

JULY 3, 2023

With the release of the latest chatbot developed by OpenAI called ChatGPT, the field of AI has taken over the world as ChatGPT, due to its GPT’s transformer architecture, is always in the headlines. 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

Marktechpost

APRIL 6, 2024

With its distinctive linguistic structure and deep cultural context, Korean has often posed a challenge for conventional English-based LLMs, prompting a shift toward more inclusive and culturally aware AI research and development. Codex further explores the integration of code generation within LLMs.

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Large Language Models BERT LLM OpenAI 118

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.

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Large Language Models BERT Natural Language Processing Categorization 103

Marktechpost

MAY 13, 2024

The study demonstrated the effectiveness of this new method by applying it to several well-known models, including variations of Google’s BERT and OpenAI’s GPT series. This advancement is crucial as LLMs are increasingly used in various applications, from automated writing aids to sophisticated conversational agents.

Automation 106

Automation Computational Linguistics Large Language Models Natural Language Processing 106

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.

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Large Language Models NLP Convolutional Neural Networks Neural Network 120

TheSequence

NOVEMBER 24, 2024

Created Using Midjourney Next Week in The Sequence: Edge 451: Explores the ideas behind multi-teacher distillation including the MT-BERT paper. It also covers the Portkey framework for LLM guardrailing. Judge Arena Hugging Face released JudgeArena, a platform for benchmarking LLM-as-a-Judge models —> Read more.

Neural Network 52

Neural Network BERT Large Language Models LLM 52

ODSC - Open Data Science

FEBRUARY 14, 2023

Since its release on November 30, 2022 by OpenAI , the ChatGPT public demo has taken the world by storm. An Associate Professor at Maryland has estimated that OpenAI spends $3 million per month to run ChatGPT. and is trained in a manner similar to OpenAI’s earlier InstructGPT, but on conversations.

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ChatGPT Large Language Models OpenAI Conversational AI 124

Towards AI

JUNE 20, 2024

You could use LLM models like ChatGPT to create horoscopes (which it does quite successfully), or for something more practical (like work). This part is usually done using an LLM like OpenAI. Of course, an LLM. instead of just fragmented pieces. Image by DALL-E 3 So, why do we need RAG?

LLM 81

LLM BERT OpenAI ChatGPT 81

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

John Snow Labs

AUGUST 29, 2023

It’s a well-established principle: any LLM, whether open-source or proprietary, isn’t dependable without a RAG. with: New OpenAI Whisper, Embeddings and Completions! Anticipate swifter inferences, seamless optimizations, and quantization for exporting LLM models. BERT, XLNet, RoBERTa) under the same model setting.

NLP 52

NLP OpenAI BERT LLM 52

Marktechpost

JUNE 12, 2023

These models are contributing to some remarkable economic and societal transformations, the best example of which is the well-known ChatGPT developed by OpenAI, which has had millions of users ever since its release, with the number increasing exponentially, if not the same. Other LLMs, like PaLM, Chinchilla, BERT, etc.,

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Large Language Models Natural Language Processing BERT Artificial Intelligence 103

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.

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Neural Network BERT Large Language Models Natural Language Processing 52

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

Bugra Akyildiz

FEBRUARY 9, 2025

It does a deep dive into two reinforcement learning algorithms used in training large language models (LLMs): Proximal Policy Optimization (PPO) Group Relative Policy Optimization (GRPO) LLM Training Overview The training of LLMs is divided into two phases: Pre-training: The model learns next token prediction using large-scale web data.

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LLM Deep Learning Algorithm BERT 52