Unite.AI

AUGUST 28, 2023

Traditional Computing Systems : From basic computing algorithms, the journey began. Systems like ChatGPT by OpenAI, BERT, and T5 have enabled breakthroughs in human-AI communication. These systems could solve pre-defined tasks using a fixed set of rules.

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Auto-complete ChatGPT Large Language Models Neural Network 240

AWS Machine Learning Blog

MAY 31, 2023

In 2018, BERT-large made its debut with its 340 million parameters and innovative transformer architecture, setting the benchmark for performance on NLP tasks. For text tasks such as sentence classification, text classification, and question answering, you can use models such as BERT, RoBERTa, and DistilBERT.

Automation 100

Automation Python BERT Machine Learning 100

deepsense.ai

FEBRUARY 6, 2024

Supervised learning Supervised learning is a widely used approach in machine learning, where algorithms are trained using a large number of input examples paired with their corresponding expected outputs. Prompt engineering : the provided prompt plays a crucial role, especially when dealing with compound nouns.

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Prompt Engineer Prompt Engineering NLP Computer Vision 105

Heartbeat

MARCH 19, 2024

Like machine learning operations, LLMOps involves efforts from several contributors, like prompt engineers, data scientists, DevOps engineers, business analysts, and IT operations. This is, in fact, a baseline, and the actual LLMOps workflow usually involves more stakeholders like prompt engineers, researchers, etc.

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Large Language Models Prompt Engineering Prompt Engineer Natural Language Processing 52

AWS Machine Learning Blog

APRIL 17, 2023

Especially for DeepSpeed, the partitioning algorithm is tightly coupled with fused kernel operators. Prompt engineering Prompt engineering refers to efforts to extract accurate, consistent, and fair outputs from large models, such text-to-image synthesizers or large language models.

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Prompt Engineer Prompt Engineering Deep Learning Machine Learning 104

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.

LLM 52

LLM Deep Learning Algorithm BERT 52

ODSC - Open Data Science

NOVEMBER 8, 2023

Over the past year, new terms, developments, algorithms, tools, and frameworks have emerged to help data scientists and those working with AI develop whatever they desire. Prompt Engineering Another buzzword you’ve likely heard of lately, prompt engineering means designing inputs for LLMs once they’re developed.

Generative AI 52

Generative AI Prompt Engineering Prompt Engineer LLM 52

AssemblyAI

MAY 23, 2023

With these complex algorithms often labeled as "giant black boxes" in media, there's a growing need for accurate and easy-to-understand resources, especially for Product Managers wondering how to incorporate AI into their product roadmap. months on average. Learn more about it in our dedicated blog series on Generative AI.

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Large Language Models Neural Network LLM Chatbots 130

ODSC - Open Data Science

SEPTEMBER 18, 2023

Especially now with the growth of generative AI and prompt engineering  — both skills that use NLP — now’s a good time to get into the field while it’s hot with this introduction to NLP course. Classic Machine Learning in NLP The following section explores how traditional machine learning algorithms can be applied to NLP tasks.

NLP 52

NLP Neural Network Deep Learning Large Language Models 52

Unite.AI

AUGUST 4, 2023

This, coupled with the challenges of understanding AI concepts and complex algorithms, contributes to the learning curve associated with developing applications using LLMs. Langchain, a state-of-the-art library, brings convenience and flexibility to designing, implementing, and tuning prompts.

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Prompt Engineering Prompt Engineer Python NLP 245

Pickl AI

SEPTEMBER 19, 2024

How Prompt Tuning Fits into the Broader Context of AI and Machine Learning In the broader context of AI and Machine Learning , prompt tuning is part of a larger strategy known as “prompt engineering.” Prompt tuning is a more focused method compared to full model fine-tuning.

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Prompt Engineering Prompt Engineer Machine Learning Artificial Intelligence 52

Chatbots Life

MAY 12, 2023

There are many approaches to language modelling, we can for example ask the model to fill in the words in the middle of a sentence (as in the BERT model) or predict which words have been swapped for fake ones (as in the ELECTRA model). Prompt Engineering As mentioned above we can use ChatGPT to perform a number of different NLP tasks.

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ChatGPT Software Engineer NLP ML Engineer 90

Heartbeat

JANUARY 9, 2024

This is brought on by various developments, such as the availability of data, the creation of more potent computer resources, and the development of machine learning algorithms. BERT and GPT are examples. Understanding the Rise of LLMOps The number of LLMs available has significantly increased in recent years.

Large Language Models 52

Large Language Models Natural Language Processing LLM Machine Learning 52

deepsense.ai

FEBRUARY 12, 2024

Supervised learning Supervised learning is a widely used approach in machine learning, where algorithms are trained using a large number of input examples paired with their corresponding expected outputs. Prompt engineering : the provided prompt plays a crucial role, especially when dealing with compound nouns.

Prompt Engineer 52

Prompt Engineer Prompt Engineering NLP Computer Vision 52

Applied Data Science

DECEMBER 23, 2022

In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. Useful links: prompt OpenAI’s Dalle-2 with an online demo prompt Huggin face’s Stable diffusion with this demo.

Neural Network 52

Neural Network Data Science AI AI 52

Snorkel AI

OCTOBER 17, 2023

A lot of the models, algorithms, and even the public data that’s been used to train models like ChatGPT is really commoditizing, and it’s become apparent that the most valuable asset now is all the private, domain-specific data and knowledge being used. Is it tweaking the algorithm or the model? But that part was challenging.

Large Language Models 64

Large Language Models NLP Prompt Engineer Prompt Engineering 64

Heartbeat

NOVEMBER 17, 2023

Different algorithms provide different ways of calculating this distance. The StringDistanceStringEvaluator measures the similarity between two strings using a string distance algorithm like Levenshtein distance. The smaller the distance, the more similar the two strings are.

Data Scientist 52

Data Scientist Deep Learning Algorithm BERT 52

Pickl AI

SEPTEMBER 21, 2023

Transformers, like BERT and GPT, brought a novel architecture that excelled at capturing contextual relationships in language. ChatGPT prompt Algorithm model has been trained on vast amounts of Internet text to develop a comprehensive understanding of various topics.

ChatGPT 52

ChatGPT Conversational AI Chatbots Natural Language Processing 52

Snorkel AI

OCTOBER 17, 2023

A lot of the models, algorithms, and even the public data that’s been used to train models like ChatGPT is really commoditizing, and it’s become apparent that the most valuable asset now is all the private, domain-specific data and knowledge being used. Is it tweaking the algorithm or the model? But that part was challenging.

Large Language Models 59

Large Language Models NLP Prompt Engineer Prompt Engineering 59

Snorkel AI

OCTOBER 17, 2023

A lot of the models, algorithms, and even the public data that’s been used to train models like ChatGPT is really commoditizing, and it’s become apparent that the most valuable asset now is all the private, domain-specific data and knowledge being used. Is it tweaking the algorithm or the model? But that part was challenging.

Large Language Models 52

Large Language Models NLP Prompt Engineer Prompt Engineering 52

Mlearning.ai

JANUARY 17, 2024

350x: Application Areas , Companies, Startups 3,000+: Prompts , Prompt Engineering, & Prompt Lists 250+: Hardware, Frameworks , Approaches, Tools, & Data 300+: Achievements, Impacts on Society , AI Regulation, & Outlook 20x: What is Generative AI?

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Generative AI Prompt Engineering Prompt Engineer Large Language Models 98

Unite.AI

AUGUST 8, 2023

These algorithms take input data, such as a text or an image, and pair it with a target output, like a word translation or medical diagnosis. Information Retrieval: Using LLMs, such as BERT or GPT, as part of larger architectures to develop systems that can fetch and categorize information. They're about mapping and prediction.

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Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

Flipboard

DECEMBER 6, 2023

In this post, we focus on the BERT extractive summarizer. BERT extractive summarizer The BERT extractive summarizer is a type of extractive summarization model that uses the BERT language model to extract the most important sentences from a text. It works by first embedding the sentences in the text using BERT.

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BERT Large Language Models Artificial Intelligence Artificial Intelligence 167

AWS Machine Learning Blog

NOVEMBER 1, 2023

accuracy on the development set, while its counterpart bert-base-uncased boasts an accuracy of 92.7%. Xin Huang is a Senior Applied Scientist for Amazon SageMaker JumpStart and Amazon SageMaker built-in algorithms. He focuses on developing scalable machine learning algorithms. This model achieves a 91.3%

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Auto-classification LLM Auto-complete Generative AI 122

Topbots

JUNE 29, 2023

After parsing a question, an algorithm encodes it into a structured logical form in the query language of choice, such as SQL. High-quality , so that the Text2SQL algorithm does not have to deal with excessive noise (inconsistencies, empty values etc.) section “Enriching the prompt with database information”). in the data.

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Algorithm Auto-complete Data Scientist Auto-classification 52

Topbots

JUNE 6, 2023

Autoencoding models, which are better suited for information extraction, distillation and other analytical tasks, are resting in the background — but let’s not forget that the initial LLM breakthrough in 2018 happened with BERT, an autoencoding model. Developers can now focus on efficient prompt engineering and quick app prototyping.[11]

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LLM ChatGPT Prompt Engineer Prompt Engineering 105