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.

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NLP OpenAI BERT LLM 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 89

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.

Large Language Models 52

Large Language Models BERT Natural Language Processing NLP 52

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 Auto-complete Prompt Engineer Prompt Engineering 72

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

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

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

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 91

Towards AI

NOVEMBER 6, 2024

With the advent of generative models (LLMs), the importance of effective retrieval has only grown. This comprehensive documentation serves as the foundational knowledge base for code generation by providing the LLM with the necessary context to understand and generate SimTalk code.

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Metadata LLM BERT OpenAI 100

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 217

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 70

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

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. We have long supported RAG as one of the most practical ways to make LLMs more reliable and customizable.

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LLM NLP BERT Large Language Models 104

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 114

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

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.

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Large Language Models LLM BERT Artificial Intelligence 97

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 !

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Large Language Models Neural Network LLM ChatGPT 363

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

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.

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Auto-complete ChatGPT Large Language Models Neural Network 240

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 122

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 OpenAI LLM 108

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.

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Automation Computational Linguistics Large Language Models Natural Language Processing 101

deepsense.ai

NOVEMBER 9, 2024

On the other hand, the more demanding the task – the higher the risk of LLM hallucinations. In this article, you’ll find: what the problem with hallucination is, which techniques we use to reduce them, how to measure hallucinations using methods such as LLM-as-a-judge tips and tricks from my experience as an experienced data scientist.

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Prompt Engineer Prompt Engineering LLM ChatGPT 59

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 173

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).

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).

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

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 324

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

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

Mlearning.ai

JUNE 7, 2023

In 2018 when BERT was introduced by Google, I cannot emphasize how much it changed the game within the NLP community. Photo by Kapa64 on PixelBay Following BERT, several models began to appear with their roots in BERT’s fundamental architecture. In retrospect, we were slightly ahead of our time because of what came next.

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Natural Language Processing BERT NLP ChatGPT 52

ODSC - Open Data Science

NOVEMBER 4, 2024

Introduction — Bridging the Gap Between Prototype and Production Working with AI has never been more approachable than since the advent of aligned, pre-trained Large Language Models (LLMs) like GPT-4, Claude, Mistral, Llama, and many others. I always start by creating a Docker image of my LLM service.

Prompt Engineering 52

Prompt Engineering Prompt Engineer BERT Large Language Models 52

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.

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LLM Responsible AI Natural Language Processing Software Engineer 52

Topbots

JULY 6, 2023

If you’d like to skip around, here are the language models we featured: GPT-3 by OpenAI LaMDA by Google PaLM by Google Flamingo by DeepMind BLIP-2 by Salesforce LLaMA by Meta AI GPT-4 by OpenAI If this in-depth educational content is useful for you, you can subscribe to our AI research mailing list to be alerted when we release new material.

LLM 52

LLM Large Language Models Natural Language Processing OpenAI 52

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 62

LLM BERT OpenAI ChatGPT 62

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).

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Machine Learning BERT Neural Network OpenAI 52