ODSC - Open Data Science

OCTOBER 3, 2023

Who hasn’t seen the news surrounding one of the latest jobs created by AI, that of prompt engineering ? If you’re unfamiliar, a prompt engineer is a specialist who can do everything from designing to fine-tuning prompts for AI models, thus making them more efficient and accurate in generating human-like text.

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Marktechpost

JULY 4, 2023

For the unaware, ChatGPT is a large language model (LLM) trained by OpenAI to respond to different questions and generate information on an extensive range of topics. It can translate multiple languages, generate unique and creative user-specific content, summarize long text paragraphs, etc. What is prompt engineering?

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Machine Learning Research at Apple

DECEMBER 17, 2023

With the help of creative prompt engineering and in-context learning, large language models (LLMs) are known to generalize well on a variety of text-based natural language processing (NLP) tasks.

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ODSC - Open Data Science

FEBRUARY 16, 2024

Recently, we posted an in-depth article about the skills needed to get a job in prompt engineering. We covered the knowledge needed, tools, frameworks, and programming languages that will help you get a job in this new field if you’re interested in it. Now, what do prompt engineering job descriptions actually want you to do?

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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). Large language models (LLMs) are a powerful new technology with the potential to revolutionize many industries.

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Towards AI

APRIL 10, 2023

Photo by Unsplash.com The launch of ChatGPT has sparked significant interest in generative AI, and people are becoming more familiar with the ins and outs of large language models. It’s worth noting that prompt engineering plays a critical role in the success of training such models.

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ODSC - Open Data Science

JANUARY 29, 2024

The role of prompt engineer has attracted massive interest ever since Business Insider released an article last spring titled “ AI ‘Prompt Engineer Jobs: $375k Salary, No Tech Backgrund Required.” It turns out that the role of a Prompt Engineer is not simply typing questions into a prompt window.

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Heartbeat

APRIL 10, 2023

At this point, a new concept emerged: “Prompt Engineering.” What is Prompt Engineering? While users initially experimented with different commands on their own, they began to push the limits of the language model’s capabilities day by day, producing more and more surprising outputs each time.

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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.

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Analytics Vidhya

MAY 15, 2023

Microsoft AI Research has recently introduced a new framework called Automatic Prompt Optimization (APO) to significantly improve the performance of large language models (LLMs).

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ODSC - Open Data Science

JULY 3, 2023

We’re hearing a lot about large language models, or LLMs recently in the news. Because of this, LLMs have a wide range of potential applications, including in the fields of natural language processing, machine translation, and text generation. If successful, this could lead to more efficient NLP models in the future.

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Analytics Vidhya

JANUARY 4, 2024

Introduction In the rapidly evolving landscape of artificial intelligence, especially in NLP, large language models (LLMs) have swiftly transformed interactions with technology. GPT-3, a prime example, excels in generating coherent text.

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ODSC - Open Data Science

JULY 31, 2023

With the explosion in user growth with AIs such as ChatGPT and Google’s Bard , prompt engineering is fast becoming better understood for its value. If you’re unfamiliar with the term, prompt engineering is a crucial technique for effectively utilizing text-based large language models (LLMs) like ChatGPT and Bard.

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Unite.AI

OCTOBER 2, 2023

Imagine you're an Analyst, and you've got access to a Large Language Model. ” Large Language Model, for all their linguistic power, lack the ability to grasp the ‘ now ‘ And in the fast-paced world, ‘ now ‘ is everything. My last training data only goes up to January 2022.”

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ODSC - Open Data Science

AUGUST 17, 2023

Evolving Trends in Prompt Engineering, a Primer to Scaling Pandas, and Enriching ERP with Generative AI Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices In this blog post, our objective is to illuminate the constantly evolving research around the LLMs space, including prompt engineering.

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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.

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ODSC - Open Data Science

SEPTEMBER 18, 2023

Getting started with natural language processing (NLP) is no exception, as you need to be savvy in machine learning, deep learning, language, and more. To get you started on your journey, we’ve released a new on-demand Introduction to NLP course. Here are some more details.

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Unite.AI

APRIL 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by demonstrating remarkable capabilities in generating human-like text, answering questions, and assisting with a wide range of language-related tasks.

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Towards AI

DECEMBER 28, 2023

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). These models are trained on massive amounts of text data to learn patterns and relationships in the language.

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ODSC - Open Data Science

AUGUST 24, 2023

5 Jobs That Will Use Prompt Engineering in 2023 Whether you’re looking for a new career or to enhance your current path, these jobs that use prompt engineering will become desirable in 2023 and beyond. That’s why enriching your analysis with trusted, fit-for-use, third-party data is key to ensuring long-term success.

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Marktechpost

JULY 22, 2023

The recent rise in the use of large language models (LLMs) has completely transformed the field of natural language processing (NLP) especially prompting LLMs to generate open-ended text.

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Unite.AI

JANUARY 2, 2024

Large Language Models (LLMs) have contributed to advancing the domain of natural language processing (NLP), yet an existing gap persists in contextual understanding. The generation step guarantees the model's output is coherent, accurate, and tailored according to the user’s prompt.

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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.

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Towards AI

MARCH 17, 2023

Large Language Models (LLMs) have come a long way in recent years. 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.

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Unite.AI

AUGUST 1, 2023

The spotlight is also on DALL-E, an AI model that crafts images from textual inputs. One such model that has garnered considerable attention is OpenAI's ChatGPT , a shining exemplar in the realm of Large Language Models. Our exploration into prompt engineering techniques aims to improve these aspects of LLMs.

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Unite.AI

JULY 26, 2023

The secret sauce to ChatGPT's impressive performance and versatility lies in an art subtly nestled within its programming – prompt engineering. By providing these models with inputs, we're guiding their behavior and responses. This makes us all prompt engineers to a certain degree. What is Prompt Engineering?

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ODSC - Open Data Science

FEBRUARY 6, 2024

Large Language Models are everywhere these days. NLP with GPT-4 and other LLMs: From Training to Deployment with Hugging Face and PyTorch Lightning Dr. NLP with GPT-4 and other LLMs: From Training to Deployment with Hugging Face and PyTorch Lightning Dr. Jon Krohn | Chief Data Scientist | Nebula.io

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Unite.AI

NOVEMBER 30, 2023

Randy and I both come from finance and algorithmic trading backgrounds, which led us to take the concept of matching requests with answers to build our own NLP for hyper-specific inquiries that would get asked at locations. We had a scheduled press release to announce our patent-pending Context-based NLP upgrade for December 6, 2022.

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Analytics Vidhya

SEPTEMBER 29, 2023

Introduction Generative Artificial Intelligence (AI) models have revolutionized natural language processing (NLP) by producing human-like text and language structures.

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Marktechpost

AUGUST 13, 2023

Speech Recognition is one of the recently developed techniques in the NLP domain. Research scientists also developed large language models for text-to-voice generative AI model development. But despite all these, there were problems associated with these models. Check out the Reference Article.

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Salmon Run

FEBRUARY 24, 2024

I got into Natural Language Processing (NLP) and Machine Learning (ML) through Search. RAG started out relatively simple -- take a query, generate search results, use search results as context for a Large Language Model (LLM) to generate an abstractive summary of the results.

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Towards AI

SEPTEMBER 10, 2023

Following this introduction, businesses from all sectors became captivated by the prospect of training LLMs with their data to build their own domain-specific… Read the full blog for free on Medium.

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Marktechpost

JULY 20, 2023

Natural language processing (NLP) has seen a paradigm shift in recent years, with the advent of Large Language Models (LLMs) that outperform formerly relatively tiny Language Models (LMs) like GPT-2 and T5 Raffel et al. on a variety of NLP tasks. RL provides a simple way to bridge this gap.

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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.

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ODSC - Open Data Science

NOVEMBER 8, 2023

In this blog, we’ll explore ten key aspects of building generative AI applications, including large language model basics, fine-tuning, and core NLP competencies. Prompt Engineering Another buzzword you’ve likely heard of lately, prompt engineering means designing inputs for LLMs once they’re developed.

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Towards AI

SEPTEMBER 10, 2023

Following this introduction, businesses from all sectors became captivated by the prospect of training LLMs with their data to build their own domain-specific… Read the full blog for free on Medium.

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ODSC - Open Data Science

OCTOBER 23, 2023

As large language models, generative AI, and prompt engineering have all taken center stage in the AI domain, the interests, demands, and skills required to forge ahead with one’s career have also changed. This is especially true of the last 12 months.

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