Unite.AI

OCTOBER 2, 2023

When fine-tuned, they can achieve remarkable results on a variety of NLP tasks. pic.twitter.com/pyj8a9HWkB — OpenAI (@OpenAI) September 27, 2023 Currently available for Plus and Enterprise users, OpenAI plans to roll out this feature to all users soon. For instance, a model trained up to 2022 would not know the events of 2023.

LLM 298

LLM Prompt Engineer Prompt Engineering Large Language Models 298

John Snow Labs

OCTOBER 16, 2023

The recent NLP Summit served as a vibrant platform for experts to delve into the many opportunities and also challenges presented by large language models (LLMs). McKinsey & Company’s findings underscore 2023 as a landmark year for generative AI, hinting at the transformative wave ahead.

Large Language Models 52

Large Language Models NLP Metadata Data Scarcity 52

Unite.AI

SEPTEMBER 27, 2023

BloombergGPT & Economics of Generative AI In March 2023, Bloomberg showcased BloombergGPT. FINGPT FinGPT's Operations : Data Sourcing and Engineering : Data Acquisition : Uses data from reputable sources like Yahoo, Reuters, and more, FinGPT amalgamates a vast array of financial news, spanning US stocks to CN stocks.

Generative AI 304

Generative AI Large Language Models Prompt Engineer Prompt Engineering 304

ODSC - Open Data Science

AUGUST 11, 2023

You’ll learn about the 8 layers of the machine learning stack: data, compute, versioning, orchestration, software architecture, model operations, feature engineering, and model development and the tooling and workflow landscape.

Data Scientist 98

Data Scientist Data Science Machine Learning Prompt Engineer 98

Unite.AI

JANUARY 25, 2024

Natural Language Processing (NLP), a field at the heart of understanding and processing human language, saw a significant increase in interest, with a 195% jump in engagement. This spike in NLP underscores its central role in the development and application of generative AI technologies.

Prompt Engineer 182

Prompt Engineer Prompt Engineering Generative AI NLP 182

Explosion

NOVEMBER 28, 2023

Throughout 2023, we have introduced support for Large Language Models (LLMs) through spacy-llm, added customizable task routing, expanded our QA features with inter-annotator agreement metrics, infused more interactivity into the UI, and shared several open-source Prodigy plug-ins with the community. are our biggest in almost two years.

Large Language Models 78

Large Language Models LLM Prompt Engineer Prompt Engineering 78

Towards AI

MARCH 17, 2023

Last Updated on March 19, 2023 by Editorial Team Author(s): Nikola Nikolov Originally published on Towards AI. From fluent dialogue generation to text summarisation, and article generation, language models have made it extremely easy for anyone to build an NLP-powered product. Image generated with Stable Diffusion.

NLP 81

NLP LLM Large Language Models Prompt Engineer 81

ODSC - Open Data Science

JANUARY 4, 2024

Trending Data Engineering Topics, the Top AI News from 2023, and Mapping Out the Top Open-Source LLM Frameworks 10 Data Engineering Topics and Trends You Need to Know in 2024 Let’s dive in and explore 10 data engineering trends that are expected to shape the industry in 2024 and beyond.

Data Science 52

Data Science Large Language Models LLM Artificial Intelligence 52

Towards AI

DECEMBER 28, 2023

Last Updated on December 30, 2023 by Editorial Team Author(s): Sudhanshu Sharma Originally published on Towards AI. The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP).

Large Language Models 104

Large Language Models Natural Language Processing Prompt Engineer Prompt Engineering 104

AWS Machine Learning Blog

MAY 7, 2024

This post walks through examples of building information extraction use cases by combining LLMs with prompt engineering and frameworks such as LangChain. Prompt engineering Prompt engineering enables you to instruct LLMs to generate suggestions, explanations, or completions of text in an interactive way.

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Prompt Engineering Prompt Engineer Large Language Models LLM 122

ODSC - Open Data Science

AUGUST 3, 2023

We couldn’t be more excited to announce that the Preliminary Schedule for ODSC APAC 2023 is now live. Unlocking the vast potential of LLMs in NLP will trigger innovative ideas and is expected to disrupt and radically transform the technology and business landscape in the coming days. In the meantime, grab a quick sneak peek below.

Data Science 52

Data Science Large Language Models Data Scientist Prompt Engineer 52

ODSC - Open Data Science

DECEMBER 28, 2023

The Top Large Language Models of 2023, 8 Python Libraries You Should be Using, and Why You Need an Observability Platform The Top Large Language Models Going Into 2024 Let’s explore the top large language models that made waves in 2023, and see why you should be using these LLMs in 2024. Register here!

Large Language Models 52

Large Language Models Python Data Science Machine Learning 52

AWS Machine Learning Blog

MARCH 4, 2024

However, when employing the use of traditional natural language processing (NLP) models, they found that these solutions struggled to fully understand the nuanced feedback found in open-ended survey responses. Traditional NLP methods will identify topics as “hardships,” “disappointed,” “kind staff,” and “get through tough times.”

NLP 122

NLP Prompt Engineer Prompt Engineering LLM 122

Towards AI

MARCH 4, 2023

Last Updated on March 4, 2023 by Editorial Team Author(s): Harshit Sharma Originally published on Towards AI. Pre-train, Prompt, and Predict — Part1 The 4 Paradigms in NLP (This is a multi-part series describing the prompting paradigm in NLP. That’s all for Part 1!!

Neural Network 90

Neural Network Prompt Engineer Prompt Engineering NLP 90

Unite.AI

AUGUST 4, 2023

In this article, we will delve deeper into these issues, exploring the advanced techniques of prompt engineering with Langchain, offering clear explanations, practical examples, and step-by-step instructions on how to implement them. Prompts play a crucial role in steering the behavior of a model.

Prompt Engineering 245

Prompt Engineering Prompt Engineer Python NLP 245

ODSC - Open Data Science

AUGUST 21, 2023

Though some positions may require extensive training and understanding of fields such as math, NLP , machine learning principles, and more, others seem to only require a fundamental understanding of AI with a greater emphasis on creativity. So it’s no wonder that the company is in search of a data scientist to specialize in NLP.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Prompt Engineering Prompt Engineer 98

Ehud Reiter

AUGUST 25, 2024

Many people in NLP seem to think that you need to work with the latest and trendiest technology in order to be relevant, both in research and in applications. At the time, the latest and trendiest NLP technology was LSTM (and variants such as biLSTM). LSTMs worked very well in lots of areas of NLP, including machine translation.

BERT 135

BERT NLP Natural Language Processing Prompt Engineer 135

Unite.AI

JUNE 11, 2024

They can use machine learning (ML), natural language processing (NLP) and generative models for pattern recognition, predictive analysis, information seeking, or collaborative brainstorming. For instance, in 2023, companies took 277 days on average to respond to a data breach. Forensic analysts can use AI in several ways.

NLP 147

NLP AI AI Automation 147

ODSC - Open Data Science

SEPTEMBER 26, 2023

At ODSC West 2023 , you’ll find an unprecedented breadth and depth of content, with hands-on training sessions on the latest advances in Generative AI, LLMs, Prompt Engineering, Machine Learning, Deep Learning, MLOps, Data Engineering, and much, much more. Ready to join us at ODSC West 2023? What’s next?

Data Science 52

Data Science Data Scientist Continuous Learning Deep Learning 52

AWS Machine Learning Blog

NOVEMBER 6, 2024

The rise of large language models (LLMs) and foundation models (FMs) has revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). With Amazon Bedrock, you can integrate advanced NLP features, such as language understanding, text generation, and question answering, into your applications.

NLP 116

NLP Python Generative AI Machine Learning 116

ODSC - Open Data Science

SEPTEMBER 11, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Jayachandran Ramachandran | SVP & Head of AI Labs | Course5 Intelligence Ltd This session comprehensively covers current challenges and solutions across various dimensions for the adoption of LLMs at the enterprise scale.

Data Science 52

Data Science Data Scientist Prompt Engineer Prompt Engineering 52

ODSC - Open Data Science

SEPTEMBER 13, 2023

What It’s Like to Be a Prompt Engineer Prompt engineers work closely with other engineers, scientists, and product managers to ensure that LLMs are accurate, reliable, and scalable. Whether you’re into machine learning, NLP, or data science, this discussion is a must-watch for anyone navigating the AI landscape.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Data Scientist Machine Learning 52

ODSC - Open Data Science

AUGUST 15, 2023

More confirmed sessions include Introduction to Large Lange Models (LLMs) | ODSC Instructor Introduction to Data Course | Sheamus McGovern | CEO and Software Architect, Data Engineer, and AI expert | ODSC Advanced NLP: Deep Learning and Transfer Learning for Natural Language Processing | Dipanjan (DJ) Sarkar | Lead Data Scientist | Google Developer (..)

Software Architect 52

Software Architect Data Scientist Data Science Machine Learning 52

Snorkel AI

MAY 4, 2023

Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023. Enterprise use cases: predictive AI, generative AI, NLP, computer vision, conversational AI. The post Use your data to build your AI moat: The Future of Data-Centric AI 2023 appeared first on Snorkel AI.

Computer Vision 52

Computer Vision Large Language Models AI AI 52

Snorkel AI

MAY 4, 2023

Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023. Enterprise use cases: predictive AI, generative AI, NLP, computer vision, conversational AI. The post Use your data to build your AI moat: The Future of Data-Centric AI 2023 appeared first on Snorkel AI.

Computer Vision 52

Computer Vision Large Language Models AI AI 52

The MLOps Blog

FEBRUARY 15, 2024

TL;DR In 2023, the tech industry saw waves of layoffs, which will likely continue into 2024. Due to the rise of LLMs and the shift towards pre-trained models and prompt engineering, specialists in traditional NLP approaches are particularly at risk. Are LLMs entirely overtaking AI and natural language processing (NLP)?

NLP 59

NLP Natural Language Processing Data Scientist Software Engineer 59

Marktechpost

AUGUST 13, 2023

Speech Recognition is one of the recently developed techniques in the NLP domain. Transformers in NLP also played a major role in implementing this model. Prompt engineers and many researchers also found that the model could update over the upcoming weeks in terms of speed, accuracy, and good F1 score.

AI Modeling 98

AI Modeling Large Language Models Prompt Engineer Prompt Engineering 98

Towards AI

SEPTEMBER 10, 2023

Last Updated on September 11, 2023 by Editorial Team Author(s): Aashish Nair Originally published on Towards AI. Why LLM-powered chatbots haven’t taken the world by storm just yet This member-only story is on us. Upgrade to access all of Medium.

LLM 116

LLM Prompt Engineering Prompt Engineer Large Language Models 116

Towards AI

SEPTEMBER 10, 2023

Last Updated on September 12, 2023 by Editorial Team Author(s): Aashish Nair Originally published on Towards AI. Why LLM-powered chatbots haven’t taken the world by storm just yet This member-only story is on us. Upgrade to access all of Medium.

LLM 93

LLM Prompt Engineering Prompt Engineer Large Language Models 93

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. After filtering and processing, 616,073 tweets were analyzed.

ChatGPT 118

ChatGPT Generative AI BERT AI 118

Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. Transformers and Advanced NLP Models : The introduction of transformer architectures revolutionized the NLP landscape.

Auto-complete 240

Auto-complete ChatGPT Large Language Models Neural Network 240

deepsense.ai

FEBRUARY 6, 2024

Fortunately, in 2023 we underwent a minor revolution in the task of image segmentation. 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. Source: own study.

Prompt Engineer 105

Prompt Engineer Prompt Engineering NLP Computer Vision 105

How to Learn Machine Learning

JULY 20, 2024

Generative AI solutions gained popularity with the launch of ChatGPT, developed by OpenAI, in 2023. Supported by Natural Language Processing (NLP), Large language modules (LLMs), and Machine Learning (ML), Generative AI can evaluate and create extensive images and texts to assist users. dollars, nearly double the size of 2022.

Generative AI 64

Generative AI Machine Learning Deep Learning AI 64

Towards AI

MAY 12, 2023

Last Updated on May 16, 2023 by Editorial Team Author(s): Evgeniya Sukhodolskaya Originally published on Towards AI. The prospect seems likely since LLMs can handle text classification, machine translation, and other NLP-related tasks in a zero-shot manner with impressive quality. Who outperforms text classification?

Prompt Engineer 74

Prompt Engineer Prompt Engineering Large Language Models NLP 74

Snorkel AI

AUGUST 9, 2023

and Llama 2) and techniques, ultimately showing that a simple DistilBERT model developed with Snorkel Flow outperforms GPT-4 by 34 points out-of-the-box and by 15 points even after advanced prompt engineering. The presence of these “resistances” can be advertised in a large variety of ways, making this a challenging NLP problem.

LLM 52

LLM Prompt Engineering Prompt Engineer Artificial Intelligence 52

Snorkel AI

AUGUST 9, 2023

and Llama 2) and techniques, ultimately showing that a simple DistilBERT model developed with Snorkel Flow outperforms GPT-4 by 34 points out-of-the-box and by 15 points even after advanced prompt engineering. The presence of these “resistances” can be advertised in a large variety of ways, making this a challenging NLP problem.

LLM 52

LLM Prompt Engineering Prompt Engineer Artificial Intelligence 52

Towards AI

JUNE 5, 2023

Last Updated on June 14, 2023 by Editorial Team Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Some common natural language processing (NLP) tasks and classification and labeling. Large language models (LLMs) like ChatGPT has given us a novel approach to these NLP tasks.

NLP 52

NLP LLM OpenAI ChatGPT 52