Marktechpost

DECEMBER 19, 2023

Reinforcement learning (RL) agents epitomize artificial intelligence by embodying adaptive prowess, navigating intricate knowledge landscapes through iterative trial and error, and dynamically assimilating environmental insights to autonomously evolve and optimize their decision-making capabilities. Check out the Paper.

Prompt Engineer 117

Prompt Engineer Prompt Engineering BERT Artificial Intelligence 117

Artificial Corner

JULY 30, 2023

Some Terminologies related to Artificial Intelligence (Ai) Deep Learning is a technique used in artificial intelligence (AI) that teaches computers to interpret data in a manner modeled after the human brain. Natural Language Processing (NLP) is a subfield of artificial intelligence.

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Large Language Models LLM Natural Language Processing Deep Learning 98

ODSC - Open Data Science

MARCH 10, 2025

Over the past decade, data science has undergone a remarkable evolution, driven by rapid advancements in machine learning, artificial intelligence, and big data technologies. Starting with BERT and accelerating with the launch of GPT-3 , conference sessions on LLMs and transformers skyrocketed.

Data Science 52

Data Science Neural Network Convolutional Neural Networks Large Language Models 52

Marktechpost

APRIL 1, 2024

It provides codes for working with various models, such as GPT-4, BERT, T5, etc., The Only ChatGPT Prompts Book You’ll Ever Need This book teaches how to craft effective prompts for maximum impact using prompt engineering techniques. and explains how they work.

ChatGPT 117

ChatGPT Large Language Models Prompt Engineer Prompt Engineering 117

Unite.AI

DECEMBER 27, 2023

Facebook's RoBERTa, built on the BERT architecture, utilizes deep learning algorithms to generate text based on given prompts. Another important trend is prompt engineering, which focuses on creating high-quality prompts for generative AI models.

Generative AI 217

Generative AI Chatbots Large Language Models OpenAI 217

Marktechpost

APRIL 16, 2024

The book covers the inner workings of LLMs and provides sample codes for working with models like GPT-4, BERT, T5, LLaMA, etc. It explains the fundamentals of LLMs and generative AI and also covers prompt engineering to improve performance. LangChain Crash Course This is a short book covering the fundamentals of LangChain.

Large Language Models 104

Large Language Models Auto-complete Prompt Engineer Prompt Engineering 104

AWS Machine Learning Blog

JUNE 25, 2024

Amazon Bedrock , a fully managed service designed to facilitate the integration of LLMs into enterprise applications, offers a choice of high-performing LLMs from leading artificial intelligence (AI) companies like Anthropic, Mistral AI, Meta, and Amazon through a single API.

Automation 126

Automation Prompt Engineer Prompt Engineering Categorization 126

Marktechpost

JUNE 24, 2024

The study also identified four essential skills for effectively interacting with and leveraging ChatGPT: prompt engineering, critical evaluation of AI outputs, collaborative interaction with AI, and continuous learning about AI capabilities and limitations.

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ChatGPT Generative AI BERT NLP 116

Towards AI

JANUARY 30, 2024

GPT4, Stable Diffusion, Llama, BERT, Gemini Large Language Models (LLMs) Foundation models, trained on the “Transformer Architecture”, that can perform a wide array of Natural Language Processing (NLP) tasks like text generation, classification, summarisation etc. Examples: GPT 3.5,

Generative AI 112

Generative AI LLM Prompt Engineer Prompt Engineering 112

Mlearning.ai

JULY 24, 2023

The likes of BERT, GPT4, Llama 2, have undergone pre-training on a large corpus of data. The result of pre-training are Foundation Models 2️⃣ Prompt Engineering : Once the foundation model is ready, text can be generated by providing the model with a prompt. The model generates a completion on the prompt.

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering Large Language Models 52

Pickl AI

SEPTEMBER 19, 2024

This article covers key techniques, including manual design and adaptive tuning, to optimise prompts for accurate and efficient AI outputs. Learn how to refine prompts to boost AI accuracy and effectiveness across various applications. Explore: The History of Artificial Intelligence (AI). What is Prompt Tuning?

Prompt Engineer 52

Prompt Engineer Prompt Engineering Machine Learning Artificial Intelligence 52

Snorkel AI

AUGUST 17, 2023

Generative artificial intelligence models offer a wealth of capabilities. Users can easily constrain an LLM’s output with clever prompt engineering. When prompted for a classification task, a genAI LLM may give a reasonable baseline, but prompt engineering and fine-tuning can only take you so far.

Generative AI 52

Generative AI BERT LLM Prompt Engineer 52

Snorkel AI

AUGUST 17, 2023

Generative artificial intelligence models offer a wealth of capabilities. Users can easily constrain an LLM’s output with clever prompt engineering. When prompted for a classification task, a genAI LLM may give a reasonable baseline, but prompt engineering and fine-tuning can only take you so far.

Generative AI 52

Generative AI BERT LLM Prompt Engineer 52

deepsense.ai

FEBRUARY 6, 2024

Prompt engineering : the provided prompt plays a crucial role, especially when dealing with compound nouns. By using “car lamp” as a prompt, we are very likely to detect cars instead of car lamps. The first concept is prompt engineering. Text: The model accepts text prompts. Source: [link].

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Prompt Engineer Prompt Engineering NLP Computer Vision 105

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 97

Automation Python BERT Prompt Engineer 97

AWS Machine Learning Blog

APRIL 17, 2023

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. For more information, refer to EMNLP: Prompt engineering is the new feature engineering.

Prompt Engineer 103

Prompt Engineer Prompt Engineering Deep Learning Machine Learning 103

Snorkel AI

AUGUST 17, 2023

Generative artificial intelligence models offer a wealth of capabilities. Users can easily constrain an LLM’s output with clever prompt engineering. When prompted for a classification task, a genAI LLM may give a reasonable baseline, but prompt engineering and fine-tuning can only take you so far.

Generative AI 52

Generative AI BERT LLM Prompt Engineer 52

ODSC - Open Data Science

NOVEMBER 8, 2023

Prompt Engineering Another buzzword you’ve likely heard of lately, prompt engineering means designing inputs for LLMs once they’re developed. This is where the art of artificial intelligence comes into play, and has even become its own job. You can even fine-tune prompts to get exactly what you want.

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering LLM 52

Heartbeat

MARCH 19, 2024

Large language models are foundational, based on deep learning and artificial intelligence (AI), and are usually trained on massive datasets that create the foundation of their knowledge and abilities. Popular LLMs include Falcon 40B, GPT-4, LLaMa 2, and BERT. This is the stage at which prompt engineering is crucial.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Natural Language Processing 52

Heartbeat

AUGUST 2, 2023

Introduction to LLMs LLM in the sphere of AI Large language models (often abbreviated as LLMs) refer to a type of artificial intelligence (AI) model typically based on deep learning architectures known as transformers. Large language models, such as GPT-3 (Generative Pre-trained Transformer 3), BERT, XLNet, and Transformer-XL, etc.,

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering OpenAI 52

Heartbeat

JANUARY 9, 2024

Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). These LLMs are artificial intelligence (AI) systems trained using large data sets, including text and code.

Large Language Models 52

Large Language Models Natural Language Processing LLM Machine Learning 52

Snorkel AI

MAY 25, 2023

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). By making BERT bidirectional, it allowed the inputs and outputs to take each others’ context into account. BERT), or consist of both (e.g.,

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

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). By making BERT bidirectional, it allowed the inputs and outputs to take each others’ context into account. BERT), or consist of both (e.g.,

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

ODSC - Open Data Science

NOVEMBER 19, 2024

LLMs from Prototype to Production — LLMOps, Prompt Engineering, and Moving LLMs to the Cloud with Sinan Ozdemir Slides Sinan Ozdemir’s comprehensive session on LLMOps addressed the practicalities of deploying LLMs like GPT, Llama, and BERT.

Deep Learning 52

Deep Learning Data Science Neural Network BERT 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.

ChatGPT 90

ChatGPT Software Engineer NLP ML Engineer 90

deepsense.ai

FEBRUARY 12, 2024

Prompt engineering : the provided prompt plays a crucial role, especially when dealing with compound nouns. By using car lamp as a prompt, we are very likely to detect cars instead of car lamps. The first concept is prompt engineering. Text: The model accepts text prompts. Source: [link].

Prompt Engineer 52

Prompt Engineer Prompt Engineering NLP Computer Vision 52

Pickl AI

SEPTEMBER 21, 2023

Introduction and Inventor of ChatGPT In recent years, we’ve witnessed an unprecedented surge in the capabilities of Artificial Intelligence , and at the forefront of this revolution are language models. Transformers, like BERT and GPT, brought a novel architecture that excelled at capturing contextual relationships in language.

ChatGPT 52

ChatGPT Conversational AI Chatbots Natural Language Processing 52

Applied Data Science

DECEMBER 23, 2022

This year is intense: we have, among others, a new generative model that beats GANs , an AI-powered chatbot that discusses with more than 1 million people in a week and prompt engineering , a job that did not exist a year ago. To cover as many breakthroughs as possible we have broken down our review in four parts: ? What happened?

Neural Network 52

Neural Network Data Science AI AI 52

Unite.AI

JUNE 27, 2024

Artificial Intelligence (AI) has witnessed rapid advancements over the past few years, particularly in Natural Language Processing (NLP). Two key techniques driving these advancements are prompt engineering and few-shot learning. To improve customer engagement and efficiency, they implemented IBM's Watsonx Assistant.

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Prompt Engineer Prompt Engineering AI Modeling Large Language Models 147

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.

BERT 165

BERT Large Language Models Artificial Intelligence Artificial Intelligence 165

Unite.AI

AUGUST 8, 2023

In the artificial intelligence ecosystem, two models exist: discriminative and generative. Information Retrieval: Using LLMs, such as BERT or GPT, as part of larger architectures to develop systems that can fetch and categorize information. Discriminative models are what most people encounter in daily life.

Generative AI 243

Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

Marktechpost

SEPTEMBER 15, 2024

The pre-train and fine-tune paradigm, exemplified by models like ELMo and BERT, has evolved into prompt-based reasoning used by the GPT family. Techniques like Uprise and DaSLaM use lightweight retrievers or small models to optimize prompts, break down complex problems, or generate pseudo labels.

BERT 120

BERT LLM Large Language Models Categorization 120

Marktechpost

NOVEMBER 26, 2023

While pre-training a model like BERT from scratch is possible, using an existing model like bert-large-cased · Hugging Face is often more practical, except for specialized cases. Perhaps the easiest point of entry for adapting models is prompt engineering.

LLM 139

LLM BERT Large Language Models Prompt Engineer 139

AWS Machine Learning Blog

JUNE 27, 2024

NinjaTech AI’s mission is to make everyone more productive by taking care of time-consuming complex tasks with fast and affordable artificial intelligence (AI) agents. After testing available open source models, we felt that the out-of-the-box capabilities and responses were insufficient with prompt engineering alone to meet our needs.

Software Engineer 127

Software Engineer Large Language Models AI AI 127

AWS Machine Learning Blog

NOVEMBER 1, 2023

accuracy on the development set, while its counterpart bert-base-uncased boasts an accuracy of 92.7%. The distilbert-base-uncased-finetuned-sst-2-english model is a refined checkpoint of DistilBERT-base-uncased , optimized on the Stanford Sentiment Treebank (SST2) dataset by Hugging Face. This model achieves a 91.3%

Auto-classification 121

Auto-classification LLM Auto-complete Generative AI 121

ODSC - Open Data Science

NOVEMBER 4, 2024

This post is meant to walk through some of the steps of how to take your LLMs to the next level, focusing on critical aspects like LLMOps, advanced prompt engineering, and cloud-based deployments. BERT being distilled into DistilBERT) and task-specific distillation which fine-tunes a smaller model using specific task data (e.g.

Prompt Engineer 52

Prompt Engineer Prompt Engineering BERT Large Language Models 52

AWS Machine Learning Blog

DECEMBER 11, 2024

Generating improved instructions for each question-and-answer pair using an automatic prompt engineering technique based on the Auto-Instruct Repository. The value of Amazon Bedrock in text generation for automatic prompt engineering and text summarization for evaluation helped tremendously in the collaboration with Tealium.

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Generative AI Chatbots Prompt Engineer Prompt Engineering 80