Pickl AI

JULY 24, 2024

” During this time, researchers made remarkable strides in natural language processing, robotics, and expert systems. Notable achievements included the development of ELIZA, an early natural language processing program created by Joseph Weizenbaum, which simulated human conversation.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Natural Language Processing Neural Network 52

Unite.AI

FEBRUARY 16, 2024

Since its launch in 2020, the Buddy app has won several awards and topped the charts in the App Store's Kids and Education category with over 36M downloads worldwide. We decided that Buddy would be a multimodal AI tutor – an animated pedagogical agent capable of voice recognition and natural language processing.

Natural Language Processing 173

Natural Language Processing AI AI UX Design 173

Flipboard

FEBRUARY 16, 2023

Natural language processing ( NLP ), while hardly a new discipline, has catapulted into the public consciousness these past few months thanks in large part to the generative AI hype train that is ChatGPT. million ($2.9

NLP 123

NLP Data Scientist Natural Language Processing AI 123

NVIDIA

NOVEMBER 15, 2023

The court clerk of AI is a process called retrieval-augmented generation, or RAG for short. That’s when researchers in information retrieval prototyped what they called question-answering systems, apps that use natural language processing ( NLP ) to access text, initially in narrow topics such as baseball.

Generative AI 131

Generative AI LLM Neural Network AI Modeling 131

Unite.AI

NOVEMBER 8, 2023

Natural Language Processing (NLP) has experienced some of the most impactful breakthroughs in recent years, primarily due to the the transformer architecture. BERT T5 (Text-to-Text Transfer Transformer) : Introduced by Google in 2020 , T5 reframes all NLP tasks as a text-to-text problem, using a unified text-based format.

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BERT NLP Neural Network Natural Language Processing 298

Unite.AI

JULY 26, 2023

Given that persona, explain the key events and reasons leading to the downfall of the French monarchy.” For instance, a user might be interested in the potential impact of artificial intelligence on job markets: User : “Could you briefly explain the concept of artificial intelligence?”

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Prompt Engineering Prompt Engineer ChatGPT Large Language Models 246

Heartbeat

AUGUST 23, 2023

But what if there was a technique to quickly and accurately solve this language puzzle? Enter Natural Language Processing (NLP) and its transformational power. But what if there was a way to unravel this language puzzle swiftly and accurately?

NLP 52

NLP Natural Language Processing Algorithm Categorization 52

Snorkel AI

MARCH 1, 2023

This process results in generalized models capable of a wide variety of tasks, such as image classification, natural language processing, and question-answering, with remarkable accuracy. This can make it challenging for businesses to explain or justify their decisions to customers or regulators.

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BERT Natural Language Processing Large Language Models Neural Network 83

Heartbeat

DECEMBER 5, 2023

Image Source: NVIDIA A100 — The Revolution in High-Performance Computing The A100 is the pioneer of NVIDIA’s Ampere architecture and emerged as a GPU that redefined computing capability when it was introduced in the first half of 2020. Tensor Cores contribute to efficient inference processing.

Natural Language Processing 52

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AWS Machine Learning Blog

SEPTEMBER 23, 2024

With synthetic data, you can streamline the evaluation process and gain confidence in your system’s capabilities before unleashing it to the real world. This post explains how to use Anthropic Claude on Amazon Bedrock to generate synthetic data for evaluating your RAG system. nConversely, our Consumer revenue grew dramatically in 2020.

LLM 88

LLM Large Language Models Automation Machine Learning 88

Heartbeat

JUNE 6, 2023

In recent years, researchers have also explored using GCNs for natural language processing (NLP) tasks, such as text classification , sentiment analysis , and entity recognition. Once the GCN is trained, it is easier to process new graphs and make predictions about them. Richong, Z., Yongyi, M., & Xudong L.

NLP 59

NLP Convolutional Neural Networks Neural Network Natural Language Processing 59

AWS Machine Learning Blog

OCTOBER 24, 2023

Solution overview The following diagram is a high-level reference architecture that explains how you can further enhance an IDP workflow with foundation models. Amazon Comprehend is a natural language processing (NLP) service that uses ML to extract insights from text.

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IDP LLM Prompt Engineer Prompt Engineering 134

O'Reilly Media

NOVEMBER 19, 2024

See the primary sources “ REALM: Retrieval-Augmented Language Model Pre-Training ” by Kelvin Guu, et al., at Facebook—both from 2020. Imagine going in front of a judge to seek a warrant and explaining, “Your honor, a LLM collected the evidence, plus or minus a few hallucinations.” Split each document into chunks.

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LLM Hybrid AI NLP Large Language Models 78

Mlearning.ai

JULY 18, 2023

Large language models (LLM) have transformed the field of natural language processing (NLP) with their remarkable text understanding and generation abilities. Llama-adapter: Efficient fine-tuning of language models with zero-init attention. arXiv:2012.13255 [cs], December 2020.

Large Language Models 52

Large Language Models NLP LLM Natural Language Processing 52

AWS Machine Learning Blog

APRIL 3, 2023

We also demonstrate how you can engineer prompts for Flan-T5 models to perform various natural language processing (NLP) tasks. A myriad of instruction tuning research has been performed since 2020, producing a collection of various tasks, templates, and methods. encode("utf-8") client = boto3.client("runtime.sagemaker")

Natural Language Processing 93

Natural Language Processing NLP Prompt Engineer Prompt Engineering 93

Heartbeat

MAY 16, 2023

Sentiment analysis is a common natural language processing (NLP) task that involves determining the sentiment of a given piece of text, such as a tweet, product review, or customer feedback. We’re committed to supporting and inspiring developers and engineers from all walks of life.

NLP 52

NLP Natural Language Processing Machine Learning Deep Learning 52

Dlabs.ai

AUGUST 10, 2020

Despite 80% of surveyed businesses wanting to use chatbots in 2020 , how many do you think will implement them well? On principle, all chatbots work by utilising some form of natural language processing (NLP). That in itself is a vast field requiring expertise and cooperation between computer science and linguistics.

Natural Language Processing 52

Natural Language Processing Chatbots Neural Network Machine Learning 52

AWS Machine Learning Blog

FEBRUARY 19, 2024

For example, a chatbot could suggest products that match a shopper’s preferences and past purchases, explain details in language adapted to the user’s level of expertise, or provide account support by accessing the customer’s specific records. billion, an increase of 22% over 2020. Tell me again what was the revenue in 2019?

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AWS Machine Learning Blog

AUGUST 14, 2023

In this post and accompanying notebook, we demonstrate how to deploy the BloomZ 176B foundation model using the SageMaker Python simplified SDK in Amazon SageMaker JumpStart as an endpoint and use it for various natural language processing (NLP) tasks. You can also access the foundation models thru Amazon SageMaker Studio.

NLP 84

NLP Robotics Prompt Engineer Prompt Engineering 84

AWS Machine Learning Blog

FEBRUARY 10, 2023

We describe how we designed an accurate, explainable ML model to make coverage classification from player tracking data, followed by our quantitative evaluation and model explanation results. Quantitative evaluation We utilize 2018–2020 season data for model training and validation, and 2021 season data for model evaluation.

Computer Vision 79

Computer Vision Machine Learning ML Convolutional Neural Networks 79

Dlabs.ai

MARCH 7, 2024

Nabla’s journey with GPT-3 began in 2020, positioning them as early adopters of the technology, which now forms the backbone of the Copilot service. This initiative offers users a highly personalized and interactive approach to mastering new languages, setting a new standard in educational technology.

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ChatGPT AI Chatbots AI AI 110

Sebastian Ruder

JANUARY 6, 2020

2019 ; Tran, 2020 ), which can be seen below.  Ready-to-use cross-lingual representations enable training of models with fewer examples for languages other than English.  From modelling energy in physics problems ( Greydanus et al., It will be interesting to see what the most impactful of these will be in 2020.

NLP 52

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AWS Machine Learning Blog

OCTOBER 11, 2024

Generative AI solutions often use Retrieval Augmented Generation (RAG) architectures, which augment external knowledge sources for improving content quality, context understanding, creativity, domain-adaptability, personalization, transparency, and explainability. data # Assing local directory path to a python variable local_data_path = ". .

Metadata 102

Metadata Generative AI LLM Data Ingestion 102

The Stanford AI Lab Blog

MAY 31, 2022

Language Model Pretraining Language models (LMs), like BERT 1 and the GPT series 2 , achieve remarkable performance on many natural language processing (NLP) tasks. We will explain this in the next paragraph. We will now see how LinkBERT performs on several downstream natural language processing tasks.

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Applied Data Science

AUGUST 2, 2021

They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team. The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data.

Data Science 52

Data Science Data Scientist Machine Learning Automation 52

Chatbots Life

MARCH 17, 2023

Timeline by Antoine Louis on A Brief History of Natural Language Processing Siri, Google Assistant, Cortana, and Alexa, are the successive technologies rolled out in the 20th century. Simply put, GPTs are machine learning models based on the neural network architecture that mimics the human brain.

Conversational AI 52

Conversational AI ChatGPT Neural Network Chatbots 52

Sebastian Ruder

JANUARY 24, 2022

2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP).   Retrieval-augmented language models, which integrate retrieval into pre-training and downstream usage, have already featured in my highlights of 2020. Advances in Neural Information Processing Systems, 2020.

NLP 52

NLP ML BERT Computational Linguistics 52

Viso.ai

MAY 17, 2024

In the year 2020, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), Ramin Hasani, Daniela Rus, and the team introduced a kind of neural network known as Liquid Neural Networks (LNNs). can be a time-consuming process requiring huge computational resources. Get a demo here.

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Neural Network Deep Learning Computer Vision Artificial Intelligence 52

Snorkel AI

MAY 25, 2023

A brief history of large language models Large language models grew out of research and experiments with neural networks to allow computers to process natural language. Next, OpenAI released GPT-3 in June of 2020. At 175 billion parameters, GPT-3 set the new size standard for large language models.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

A brief history of large language models Large language models grew out of research and experiments with neural networks to allow computers to process natural language. Next, OpenAI released GPT-3 in June of 2020. At 175 billion parameters, GPT-3 set the new size standard for large language models.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Marek Rei

NOVEMBER 4, 2024

I have written short summaries of 68 different research papers published in the areas of Machine Learning and Natural Language Processing. Interpreting Language Models with Contrastive Explanations Kayo Yin, Graham Neubig. Explaining black box text modules in natural language with language models Chandan Singh, Aliyah R.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

AWS Machine Learning Blog

MAY 2, 2023

RAG retrieves data from outside the language model (non-parametric) and augments the prompts by adding the relevant retrieved data in context. in 2020 as a model where parametric memory is a pre-trained seq2seq model and the non-parametric memory is a dense vector index of Wikipedia, accessed with a pre-trained neural retriever.

LLM 91

LLM Algorithm Machine Learning Natural Language Processing 91

Pragnakalp

JANUARY 1, 2024

There are several theories and hypotheses that attempt to explain what might have come before the Big Bang, but none of them have been proven conclusively. Overall, while there are many theories and hypotheses that attempt to explain what came before the Big Bang, none of them have been proven conclusively. Mistral-7b-instruct-v0.1

Python 52

Python Natural Language Processing Explainability NLP 52

Explosion

DECEMBER 28, 2019

Among other things, Ines discussed fast.ai ’s new course on Natural Language Processing and using Polyaxon for model training and experiment management. ? In this episode he explained how to transition a rule-based prototype towards an NER model to achieve faster results and a baseline for machine learning experiments. ?

NLP 52

NLP BERT Machine Learning Python 52

AWS Machine Learning Blog

DECEMBER 6, 2023

Overview of RAG RAG solutions are inspired by representation learning and semantic search ideas that have been gradually adopted in ranking problems (for example, recommendation and search) and natural language processing (NLP) tasks since 2010. To explore other caching options, refer to LLM Caching integrations.

Metadata 127

Metadata LLM NLP Conversational AI 127

Applied Data Science

MARCH 11, 2022

This explain this statement at the NeurIPS 2017 Test-of-Time Award: It seems easier to train a bi-directional LSTM with attention than to compute the PCA of a large matrix. — Rahimi Each agent’s reward is related to the variance explained by its own eigenvector. The topic is in red. The agents won this one!

Neural Network 52

Neural Network Data Science AI AI 52

Mlearning.ai

MARCH 9, 2023

2020) presented an adversarial attack method specifically designed for image segmentation models, and evaluated its effectiveness on several state-of-the-art segmentation models. Explaining and harnessing adversarial examples. Explaining and harnessing adversarial examples. Another study by Jin et al. In addition, Zhang et al.

Computer Vision 52

Computer Vision Deep Learning Machine Learning Algorithm 52